# Tesora — full content > Tesora builds Frontier AI for actuaries: agents for insight (loss modeling, trends, on-leveling, market research) and rating (base rates, factors, ILFs, callable pricing API), backed by a fully reproducible audit trail. Generated at: 2026-07-07T00:56:26.971Z --- url: https://tesora.ai/ title: Tesora — Frontier AI for Actuaries section: Product last_modified: 2026-07-07T00:56:13.733Z --- # Tesora — Frontier AI for Actuaries # Tesora — Frontier AI for Actuaries # AI agents actuaries Tesora's Audit-Grade Agents automate pricing, revenue, close, and reporting with built-in audit trails—delivering outputs Actuaries trust to free teams for strategic impact, reduce risk, and unlock visibility across systems. **Foundation Capital** **Y Combinator** **Why Tesora** **How it works** **Four agents designed by our Chief Actuary** **Trustworthy AI** The Workbench is the surface. The Harness is the membrane around the agents: it continuously regrades their work, holds the audit log, and keeps author, reviewer, and approver separate. Every decision is yours. **Built for enterprise security** **Firewalled within your own infrastructure so no one sees your data** **FAQ** **Frequently asked questions** ## Bring us your hardest pricing question A tangled web of formulas, a stale memo, a rater your team can't get off Excel. Make it hard for us, and let us show you the breadth of the Workbench. --- url: https://tesora.ai/actuarial-reserving-software title: Actuarial reserving software with the audit trail built in section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Actuarial reserving software with the audit trail built in # Actuarial reserving software with the audit trail built in Reserving lives and dies on data quality and reproducibility. Tesora replaces the network of reserving spreadsheets with versioned, cited analyses — development triangles, chain ladder, Bornhuetter-Ferguson, and Cape Cod — plus instant anomaly detection and statutory reporting. ## Reserving without the spreadsheet risk - Build and analyze development triangles by accident, policy, or report year. - Run chain ladder, Bornhuetter-Ferguson, Cape Cod, and Berquist-Sherman in one place. - Detect anomalous diagonals and trends automatically. - Produce Schedule P and statutory exhibits from the same data spine. - Keep every figure cited and every run reproducible. ## Methods, explained The estimation techniques on Exam 5 — development/chain ladder, expected losses, Bornhuetter-Ferguson, Cape Cod, frequency-severity, Berquist-Sherman, and Benktander — are exactly the methods Tesora assembles. The actuary selects and justifies the method; the system handles the assembly and the documentation. --- url: https://tesora.ai/actuary title: For Actuaries — How Tesora supplements your workflow section: Product last_modified: 2026-07-07T00:06:59.821Z --- # For Actuaries — How Tesora supplements your workflow # For Actuaries — How Tesora supplements your workflow ### Calculate your ROI Based on hours saved per submission at $/hr actuary cost **Tesora** # From raw submission to risk determination in hours AI-powered actuarial workbench for commercial P&C teams. Eliminate manual data entry, run Monte Carlo natively, and keep every number traceable to its source. ## Three capabilities. One workbench. **GL SEVERITY DISTRIBUTION COMPARISON** **REPORT BUILDER** ## Trusted by leading insurance teams **Real Property Captive** ### Real Property Captive Data ingestion, enrichment, structuring, reporting, and analysis for a real estate captive insurance provider. **Angad Guglani** **Captive Insurance Partners** ### Captive Insurance Partners Automated administrative and reporting processes that previously required extensive manual coordination. ## Let your actuaries do the work they love with intelligent tools For specialty insurance, more nuanced models → better understanding of risk → lower loss ratio. Tesora lets actuaries model as many scenarios as they can dream of at the speed of thought. ## Built for how actuaries actually work The workbook is powered by an excel engine with actuary-specific tools for monte carlo simulation, curve fitting, trend application, and more. ## Why actuarial teams choose Tesora Let us show you how Tesora makes your actuaries more profitable. ## Frequently asked questions Common questions from actuarial teams. ## See how Tesora makes your team more profitable 30-minute demo with your actual submission data. We'll show you the ROI. **Tesora** --- url: https://tesora.ai/admitted title: Admitted Carriers — Filing-driven rating with SOX-grade audit section: Customers last_modified: 2026-06-10T04:45:27.111Z --- # Admitted Carriers — Filing-driven rating with SOX-grade audit # Admitted Carriers — Filing-driven rating with SOX-grade audit # Competitive analysis once thought unthinkable Now done in minutes. Reconstruct competitor rate plans, run your book through them, and keep every input and output preserved for review. Six carriers, 2,000 risks, 18 parsed filings. Win share, ridgeline of premium distributions, and twenty representative risks priced side by side. ## A competitor's filing drops Monday. The committee meets Friday A new SERFF filing hits the public docket and the question is the same every time: what changed, what does it do to our book, and is there an indication to follow it. The work used to take days of hunting the manual, reconstructing the formulas, and running exposures. By the time the answer arrives, the committee has already moved on. Tesora reconstructs the competitor rate plan, diffs it to the prior version, and runs your in-force book through it overnight. Every factor change is cited to the page. Every result is reproducible against the same data and the same standards months later, when the DOI asks how the analysis was done. ## Capabilities the admitted pricing team leans on ## Two agents carry the admitted desk. Specialty desk instead? --- url: https://tesora.ai/ai-for-actuaries title: AI for actuaries: a practical guide across the actuarial lifecycle section: Resources last_modified: 2026-06-20T23:18:09.704Z --- # AI for actuaries: a practical guide across the actuarial lifecycle # AI for actuaries: a practical guide across the actuarial lifecycle Artificial intelligence is changing how actuaries ingest data, build models, file rates, and review work. The opportunity is not to replace actuarial judgment but to remove the assembly work around it — while keeping every figure cited, reproducible, and audit-ready. This guide covers where AI fits, the governance it demands, and how to adopt it responsibly. ## What "AI for actuaries" actually means For actuaries, the useful definition of AI is narrow and concrete: tools that automate the assembly of an analysis — finding the data, structuring it, selecting a method, drafting the memo — so the actuary spends time on judgment, not plumbing. The math (GLMs, chain ladder, on-leveling) was settled decades ago. What slows the work is everything around it. The risk that makes generic AI unusable in actuarial work is the same thing that makes it fast: it will produce a confident answer whether or not it can defend one. Actuarial work is non-discretionary and regulator-reviewed, so an answer that cannot cite its source is worse than no answer at all. ## Where AI fits in the actuarial lifecycle AI is most valuable at the seams of the workflow, where work historically leaked into manual effort: - Ingestion — structuring data from SERFF filings, broker submissions, Excel, SQL, and R, while recording where each value came from so it can be cited later. - Insight — assembling trending, on-leveling, severity fits, GLMs, and reserving analyses, with the actuary choosing the method and owning every decision. - Rating — turning Excel raters, SERFF filings, or scripts into versioned, self-tested, callable pricing models with separated author/reviewer/approver roles. - Audit — continuously re-checking analyses and raters, surfacing methodology issues, and screenshotting the source of every factor. ## The governance AI demands The CAS AI Primer is explicit that generative AI is "a powerful assistant, but not a substitute for critical thinking," and warns against accepting AI output without validation. The professional standards an actuary is held to — ASOP 23 (Data Quality), ASOP 41 (Communications), and ASOP 56 (Modeling) — do not relax because a model was AI-assisted. In practice that means AI for actuaries has to ship with the controls actuarial work already requires: citations on every value, reproducibility of every result, an audit log on every promotion, and author, reviewer, and approver kept as separate identities. Validation loops — comparing against traditional models, sensitivity testing, and peer review — are how AI output earns trust. ## How to adopt AI responsibly - Start where the work is reproducible and low-judgment (ingestion, documentation) before automating method selection. - Require provenance: if a number cannot be traced to a source, it does not ship. - Keep the actuary in control of every decision; AI assembles, the actuary signs. - Deploy in a governed environment with role separation so AI never becomes a black box. ## Frequently asked questions ### Will AI replace actuaries? The American Academy of Actuaries notes that prior technology shifts increased demand for actuarial skills, and expects AI to mirror predictive analytics — automating repetitive analyst work while raising demand for judgment at the mid-to-senior level. The credential stays valuable because someone has to take regulatory responsibility for the model. ### Is AI output reproducible enough for a rate filing? Only if the system is built for it. Reproducibility requires pinning to specific data, recording the method and parameters, and citing every value back to its source. Tesora is designed so that every figure is traceable and every analysis can be re-run. ### How does AI handle ASOP compliance? AI does not absolve the actuary of ASOP responsibility. The right approach builds checks into the workflow — data-quality validation (ASOP 23), clear communication and documentation (ASOP 41), and modeling controls (ASOP 56) — and keeps a human reviewer in the loop. --- url: https://tesora.ai/audit title: Audit Agent — Every value traceable, every analysis reproducible section: Product last_modified: 2026-06-10T04:45:27.112Z --- # Audit Agent — Every value traceable, every analysis reproducible # Audit Agent — Every value traceable, every analysis reproducible # Every value traceable. Every analysis reproducible. The Audit Agent is the harness around the others. Every input, analysis step, and output is preserved with author, reviewer, approver, and citations, then replayable in full for the rate committee and the DOI. If it can't be cited, it doesn't ship. ## Trust that holds up in front of a committee. ## From scramble to sign-off, with the trail intact. ## Citations, separation of duties, and a full replay. ## See the Audit Agent on your work. Bring an analysis or a rater. We'll show you the regrade, the citations, and the full replay in front of you. --- url: https://tesora.ai/best-insurance-pricing-software title: Best insurance pricing software for actuaries (2026) section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Best insurance pricing software for actuaries (2026) # Best insurance pricing software for actuaries (2026) The right pricing platform depends on your lines of business, how much you value reproducibility and governance, and whether you want to automate the whole lifecycle or just modeling. This guide compares the leading options and the trade-offs between them. ## The shortlist | Platform | Best for | Approach (per their own site) | | --- | --- | --- | | Tesora | Audit-first, full-lifecycle automation | Agentic, cited, reproducible | | Akur8 | Pricing, reserving, and life | Transparent automated GLMs/GAMs | | hyperexponential | Specialty / commercial pricing + underwriting | Python-native decision intelligence | | WTW Radar | Pricing, underwriting & claims analytics | Radar/Emblem + Radar with Python | | Earnix | Real-time decisioning at scale | AI decisioning & orchestration | | Guidewire PricingCenter | A unified pricing & rating environment | Unified lifecycle, deploy via API | ## How to choose - If you need every figure cited and every analysis reproducible for regulators, prioritize provenance and audit trail. - If you want to automate ingestion and documentation, not just modeling, look for lifecycle coverage. - If you are deep in one core system (e.g. Guidewire), native integration can outweigh best-of-breed modeling. - If your business is high-volume personal lines, raw rating throughput matters most. --- url: https://tesora.ai/blog title: Blog — Long-form writing from the Tesora team section: Blog last_modified: 2026-06-20T23:18:09.703Z --- # Blog — Long-form writing from the Tesora team # Blog — Long-form writing from the Tesora team # Insights for Actuaries Research, analysis, guides, and product perspectives on the transformation of actuarial work — from document processing to AI-powered pricing, reserving, and rate filing. ## Ready to transform your actuarial workflow? See how Tesora can turn hours of data wrangling into minutes of analysis. --- url: https://tesora.ai/blog/ai-arms-race title: The Actuarial AI Arms Race section: Blog last_modified: 2026-06-20T23:18:09.702Z --- # The Actuarial AI Arms Race # The Actuarial AI Arms Race **Tesora** # The AI Arms Race: How Top Carriers Are Transforming Underwriting Travelers has 20,000+ AI users. AIG is targeting 5x underwriter productivity. PwC surveyed 200+ insurers on actuarial modernization. Here’s what’s happening—and what it means for you. Something fundamental is shifting in insurance. The largest carriers aren’t just experimenting with AI—they’re deploying it at scale, across their entire operations. And the results are forcing a question every actuarial practice needs to answer: can you afford to wait? ## Travelers: 20,000 AI Users and Counting In January 2026, Travelers announced one of the largest enterprise AI deployments in financial services: Claude 4 rolled out across their entire global workforce of 30,000+ employees. More than 20,000 professionals now use AI tools regularly. The scale is staggering: Travelers handles approximately 1.5 million claims annually with payments exceeding $23 billion. With more than half of claims now eligible for straight-through processing—and customers adopting it about two-thirds of the time—the operational transformation is real, not theoretical. ## AIG: Turning One Underwriter Into Five At AIG’s Investor Day in March 2025, CEO Peter Zaffino unveiled “AIG Underwriter Assistance”—an agentic AI system that’s fundamentally changing how their underwriters work. The results for North America private and non-profit financial lines: Zaffino’s target: $4 billion in new E&S business by 2030, up from $1 billion in 2024. That’s not incremental improvement—it’s a fundamental shift in what’s possible with the same underwriting team. ## The Industry-Wide Shift It’s not just Travelers and AIG. PwC’s 2025 Global Actuarial Modernization Survey—their largest yet, covering 200+ insurers across 30+ countries—reveals an industry in transformation. The top priorities for actuarial leaders: - Data quality: The foundation for any AI/automation initiative - Talent acquisition and development: Finding and retaining actuaries - Process efficiency: Eliminating manual work - Advanced analytics: Moving beyond traditional methods The survey concludes that actuarial transformation is “essential for insurers to achieve strategic goals both in the near and long term.” This isn’t optional modernization—it’s existential. ## The Pattern: Amplification, Not Replacement Notice what these deployments have in common: they’re not replacing underwriters or actuaries. They’re removing the toil that prevents experts from exercising their judgment more often. At Travelers, claims adjusters aren’t gone—they’re handling more claims with better information. At AIG, underwriters aren’t redundant—they’re reviewing five times as many submissions with data already extracted and prioritized. The Deloitte perspective on actuarial automation captures it well: AI frees actuaries from routine operational work—coding claims, standardizing unstructured data—enabling them to focus on higher-value strategic activities including modeling, risk identification, and enterprise decision-making. ## What This Means for Actuarial Practices The carriers are moving. The question is whether actuarial service providers will move with them—or be left behind. Consider the dynamics: - Client expectations are shifting. When AIG can process submissions in hours instead of weeks, captive managers and reinsurers will expect similar turnaround from their actuarial consultants. - Talent is scarce. The PwC survey flags talent acquisition as a top priority. Practices that can do more with their existing team have an advantage. - Data quality matters more. AI amplifies good data and exposes bad data. Practices need robust intake and validation processes. The carriers have made their bets. Travelers is spending $1.5B annually on technology. AIG built partnerships with Anthropic and Palantir. These aren’t experiments—they’re strategic commitments. The practices that thrive in this environment will be those that can match their clients’ transformation with their own. The rest will find themselves competing on price for work that’s increasingly commoditized. ### Ready to Transform Your Practice? See how Tesora can bring carrier-grade AI capabilities to your actuarial workflow. --- url: https://tesora.ai/blog/aig-ai-underwriting title: AIG and AI Underwriting section: Blog last_modified: 2026-06-20T23:18:09.702Z --- # AIG and AI Underwriting # AIG and AI Underwriting **Tesora** # How AIG is Turning One Underwriter Into Five with AI A look at AIG’s agentic AI ecosystem and what it means for the future of actuarial work in insurance underwriting. At AIG’s Investor Day in March 2025, CEO Peter Zaffino unveiled something remarkable: an agentic AI system that has fundamentally transformed how their underwriters work. The system, called AIG Underwriter Assistance, doesn’t replace underwriters—it amplifies them. As Palantir CEO Alex Karp put it during the event: ## The Architecture: RAG + Human-in-the-Loop AIG’s system is built on a Retrieval Augmented Generation (RAG) framework that addresses the fundamental challenge of LLM hallucinations. Here’s how their CDO Claude Wade described the three components: The critical design principle? Human in the loop. Every extracted data point links back to its source document. Underwriters can click any number to see exactly where it came from—the specific page, cell, or section. This isn’t just about accuracy; it’s about maintaining the professional judgment that makes underwriting valuable. ## The Results: From Weeks to Hours For North America private and non-profit financial lines, AIG reports: ## What This Means for Actuaries AIG’s transformation reveals a pattern we’re seeing across the industry: AI isn’t replacing expert judgment—it’s removing the toil that prevents experts from exercising that judgment more often. Consider what underwriters at AIG now experience: - Every submission is reviewed. Previously, capacity constraints meant leaving “profitable business on the table.” Now, 100% of submissions are ingested, classified, and prioritized. - Judgment starts immediately. Instead of spending weeks gathering data, underwriters arrive to find submissions already processed with 125 key data elements extracted and cross-referenced. - Prioritization is intelligent. ML models estimate propensity to bind, so underwriters focus on submissions with the best risk-adjusted returns. The same pattern applies to actuarial work. Loss runs, prior analyses, applications, SOVs—the document deluge that precedes any serious actuarial analysis. What if that intake happened automatically? What if every data point linked back to its source? What if your time went to analysis and judgment instead of data wrangling? ## The Technology Stack AIG’s system is powered by partnerships with Anthropic (Claude 3.5) and Palantir (Foundry + AIP). The architecture is deliberately modular: - Document ingestion: LLM-powered classification handles PDFs, Excel, CSV, and Word formats. OCR for scanned documents. 97% classification accuracy. - Data extraction: Context-specific models extract structured data points with full source traceability. - Augmentation: Integration with 30+ third-party data sources plus internal AIG data (policy history, claims data). - Prioritization: ML models rank submissions by propensity to bind. The modularity matters. As Anthropic CEO Dario Amodei noted, AIG started with Claude 2.1 and has evolved to 3.5—the architecture allows swapping in better models as they emerge. This is infrastructure for the long term, not a point solution. ## The Tesora Perspective At Tesora, we’re building the same capabilities for actuarial work. Our Actuarial Workbench ingests entire submission folders—loss runs, prior analyses, narratives, applications, SOVs—and extracts every data point with full source traceability. The parallels to AIG’s approach are intentional: - Multi-format batch intake. Process entire submission folders in one operation. Every document classified, every data point extracted. - Clickable source traceability. Every extracted number links back to the exact page, row, and cell it came from. - Human in the loop. AI accelerates the work; actuaries retain full control over methodology and judgment. The insurance industry is transforming. The question isn’t whether AI will change actuarial work—it’s whether you’ll be amplified by it or replaced by those who are. ### Ready to Transform Your Actuarial Workflow? See how Tesora can turn hours of data wrangling into minutes of analysis. --- url: https://tesora.ai/blog/captive-growth title: The Captive Insurance Growth Story section: Blog last_modified: 2026-06-20T23:18:09.702Z --- # The Captive Insurance Growth Story # The Captive Insurance Growth Story **Tesora** # The Captive Insurance Boom: Why $62 Billion in Premiums Is Just the Beginning Over 10,000 captives now write $62 billion annually—with a 17-point combined ratio advantage over commercial peers. Here’s what’s driving the surge and what it means for actuarial work. The captive insurance market has entered a new phase of growth. Over 10,000 risk-bearing entities now operate worldwide, writing approximately $62 billion in direct premiums annually. And if current trends hold, this is just the beginning. ## The Performance Advantage The fundamental case for captives has never been stronger. According to the 2025 Captive Market Analysis from Captives Insure, captives maintain a five-year average combined ratio of 83%—a 17-point advantage over the 100% average of commercial casualty peers. That 17-point spread isn’t luck—it’s the structural advantage of risk retention combined with sophisticated actuarial management. Captive owners retain underwriting profit, control their claims, and avoid the frictional costs embedded in commercial insurance pricing. ## The Growth Numbers New captive formations have significantly outpaced closures for four consecutive years. The ratio is striking: ## What’s Driving the Surge According to WTW’s Insurance Marketplace Realities 2026 report, several factors are accelerating captive formation: - Hard commercial market: Particularly for liability and excess liability coverage, commercial rates have pushed more organizations to consider self-insurance alternatives. - Medical stop-loss demand: Employee benefits programs are increasingly using captive structures. - Parametric solutions: Growing interest in parametric coverage for property and supply chain risks—structures that captives can write efficiently. - Emerging risks: Cyber, supply chain, and difference-in-conditions coverage that may be unavailable or overpriced in traditional markets. ## The Democratization of Captives Perhaps the most significant development is structural: cell and series structures have democratized captive access for mid-market companies that were previously limited to Fortune 500 organizations. Protected cell companies, series LLCs, and sponsored captive arrangements allow smaller organizations to access captive benefits without the capital requirements and administrative overhead of a standalone captive. This has opened the market to a vast new segment of potential captive owners. ## What This Means for Actuaries The captive boom creates both opportunity and pressure for actuarial practices: ## The Capacity Question With $62 billion in premiums and 10,000+ entities, the captive market generates enormous demand for actuarial services. But actuarial talent remains scarce. The firms that can scale their capacity—through automation, AI, or both—will capture disproportionate share of this growing market. The math is straightforward: if feasibility studies take 6 weeks of actuarial time, a mid-sized practice can only complete a handful per quarter. Cut that timeline to 6 days, and capacity multiplies. The captive boom isn’t slowing down. The question is whether actuarial practices will scale to meet demand—or leave profitable work on the table. ### Ready to Scale Your Captive Practice? See how Tesora can compress feasibility study timelines from weeks to days. --- url: https://tesora.ai/blog/document-costs title: The Real Cost of Actuarial Documentation section: Blog last_modified: 2026-06-20T23:18:09.703Z --- # The Real Cost of Actuarial Documentation # The Real Cost of Actuarial Documentation **Tesora** # The $28,500-Per-Employee Problem: What Manual Document Processing Actually Costs Industry research reveals the true cost of manual data entry in actuarial work—and why automation delivers 280-450% ROI within 18-24 months. Every actuarial firm knows that manual document processing is expensive. But most dramatically underestimate how expensive. Recent industry research puts hard numbers on what many have only felt intuitively: the true cost of manual data entry is staggering, and it’s bleeding margins across the industry. ## The Direct Costs According to research from Parseur, manual data entry costs U.S. companies an average of $28,500 per employee annually. That’s not a typo. For a mid-sized actuarial practice with 20 professionals, that’s over half a million dollars per year in direct costs—before we even consider the hidden costs. Those hidden costs include error correction, quality assurance, rework, missed deadlines, and the opportunity cost of senior actuaries doing data entry instead of analysis. ## Insurance-Specific Numbers The insurance industry faces particularly acute challenges. Research from bem.ai reveals the time sink that actuaries and underwriters know too well: ## The Scale of the Problem Insurance companies process approximately 3 billion documents annually, with 85% containing unstructured data. Loss runs, applications, SOVs, prior analyses, medical records, financial statements—each requires manual extraction before any actuarial analysis can begin. For organizations with 100+ employees, the total annual cost of manual document processing reaches $430,000–$850,000 when accounting for all hidden costs. That’s not technology budget—that’s pure waste. ## The Error Tax Beyond time, there’s accuracy. Manual processing generates 1-3% error rates in general business contexts, but insurance-specific processes show 12-18% error rates. Each error costs $25–$150 to remediate, and in actuarial work, errors compound—a wrong number in a loss triangle propagates through every subsequent calculation. Error correction alone costs approximately $28,400 annually per employee. That’s nearly as much as the direct data entry cost itself. ## The ROI of Automation The research also quantifies the upside. Document processing automation delivers: - 280-450% ROI within 18-24 months - 65-80% reduction in total cost of ownership - 80-90% reduction in manual data entry errors - 20-25% increase in employee productivity For actuarial firms, these numbers translate directly to capacity. An actuary spending 3 hours extracting data from a submission folder could instead be running scenarios, reviewing methodology, or engaging with clients. The math is simple: automation doesn’t replace actuaries—it lets them do actuarial work. ## What This Means for Your Practice The numbers are clear: manual document processing is the largest hidden tax on actuarial productivity. Every hour spent copying numbers from PDFs to Excel is an hour not spent on analysis, judgment, and client value. The question isn’t whether automation pays for itself—the research shows it does, dramatically. The question is how long you can afford to wait while your margins erode and competitors modernize. ### Stop Paying the Manual Processing Tax See how Tesora can extract every data point from your submission folders with full source traceability. --- url: https://tesora.ai/careers title: Careers — Engineering, actuarial, and GTM at Tesora section: Company last_modified: 2026-06-10T04:45:27.112Z --- # Careers — Engineering, actuarial, and GTM at Tesora # Careers — Engineering, actuarial, and GTM at Tesora # Build the future of actuarial work. Hiring AI-native engineers and operators who do the work of armies. You'll be in the room with chief actuaries while we ship regulated AI. Open the role you want to apply to below and click through to apply on Y Combinator Work at a Startup. Trouble loading? View the full board on ycombinator.com/companies/tesora/jobs , or email founders@tesora.ai . · ## Don't see your role? Priced specialty lines, run an actuarial team, or built infrastructure for regulated AI? Write to us. We hire ahead of the role. --- url: https://tesora.ai/compare/tesora-vs-akur8 title: Tesora vs Akur8 section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Tesora vs Akur8 # Tesora vs Akur8 Akur8 describes itself as an AI-first, end-to-end actuarial platform spanning pricing, reserving, and life, centered on transparent automated GLMs/GAMs. Tesora is an audit-first agentic platform across ingestion, insight, rating, and audit. Here is how they compare for a P&C actuarial team. ## At a glance | Dimension | Tesora | Akur8 | | --- | --- | --- | | Scope | Ingest, insight, rating, audit | Pricing, reserving, and life | | Modeling approach | Agentic assembly with the actuary in control | Transparent automated GLMs/GAMs (and GBMs) | | Provenance | Citations on every value; screenshots of factor sources | Full model explainability; auditable | | Deployment | Callable API / front end from the Workbench | API-enabled deployment (Akur8 Deploy module) | | Governance | Author / reviewer / approver as separate identities | Built-in guardrails and full explainability | ## Where each fits On its own site, Akur8 reports 350+ insurers worldwide and emphasizes transparent, automated GLMs/GAMs (powered by proprietary algorithms) with full model explainability, reducing time-to-market from months to days across pricing, reserving, and life. Tesora fits teams that want to automate the assembly work across the whole lifecycle — including ingesting messy sources like SERFF filings and broker submissions — and need every analysis and rater to be reproducible and audit-ready, with a built-in Audit Agent. --- url: https://tesora.ai/compare/tesora-vs-earnix title: Tesora vs Earnix section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Tesora vs Earnix # Tesora vs Earnix Earnix describes itself as an AI decisioning and orchestration system for insurance, spanning pricing, rating, underwriting, and customer engagement, with an emphasis on real-time decisions at scale. Tesora is an audit-first agentic platform across the actuarial lifecycle. Here is how they compare. ## At a glance | Dimension | Tesora | Earnix | | --- | --- | --- | | Scope | Ingest, insight, rating, audit | Pricing, rating, underwriting, customer engagement | | Approach | Agentic assembly; the actuary directs | AI decisioning and orchestration | | Emphasis | Reproducibility, provenance, documentation | Real-time decisions at scale (per Earnix: 12x faster quoting) | | Governance | Citations on every value; reproducible | Explainable, auditable, traceable decisions (per Earnix) | ## Where each fits Earnix fits carriers that want real-time, governed decisioning across pricing, underwriting, and engagement at scale, with fast rate creation and integration into core systems. Tesora fits actuarial teams that prioritize reproducibility, provenance, and audit-readiness across the whole workflow, with the actuary in control of method and judgment. --- url: https://tesora.ai/compare/tesora-vs-hyperexponential title: Tesora vs hyperexponential section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Tesora vs hyperexponential # Tesora vs hyperexponential hyperexponential (hx Renew) is a Python-native pricing decision-intelligence platform aimed at specialty and commercial insurers. Tesora is an audit-first agentic platform for actuaries across ingestion, insight, rating, and audit. Here is how they compare. ## At a glance | Dimension | Tesora | hyperexponential | | --- | --- | --- | | Primary focus | Lifecycle automation, audit-first | Pricing + underwriting decision intelligence | | Build model | Agents assemble from Excel, SERFF, scripts | Pro-code Python environment with AI co-pilot | | Target lines | P&C broadly, incl. messy intake | Specialty and commercial / reinsurance | | Provenance | Citations on every value; reproducible by design | Audit trails and version control | | Deployment | Callable API / front end | Models embedded into underwriting workflows | ## Where each fits hx is a strong fit for specialty and commercial carriers that want underwriters pricing risk-by-risk inside a governed Python environment, with submission triage and portfolio intelligence. Tesora fits actuarial teams that want trained agents to handle the assembly — ingesting from filings and spreadsheets, running the analysis, and producing audit-ready, cited outputs — with the actuary owning every decision. --- url: https://tesora.ai/compare/tesora-vs-insuraviews title: Tesora vs Insuraviews section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Tesora vs Insuraviews # Tesora vs Insuraviews Insuraviews describes itself as a P&C rate-filing intelligence platform: it collects rate, rule, and form filings across all 50 states + DC and structures them into searchable competitive intelligence. Tesora is an audit-first agentic platform that automates the actuarial lifecycle on your own data. They solve adjacent problems — here is how they compare. ## At a glance | Dimension | Tesora | Insuraviews | | --- | --- | --- | | Category | Actuarial automation: ingest, insight, rating, audit | P&C rate-filing market intelligence | | Primary data | Your own data — filings, Excel, SQL, scripts | Public rate/rule/form filings across 50 states + DC | | Core use | Build, test, and deploy raters; reserving; audit | Competitive intelligence and filing research | | Filing support | Prepare cited filings and predict objections | Approved-precedent search, DOI reviewer profiles, AI-drafted objection responses | | Refresh | Continuous on your workspace | Weekly refresh of market filings (per Insuraviews) | ## Where each fits On its own site, Insuraviews positions itself as a market-intelligence layer over public filings: it collects and structures filings before you search, surfaces competitor rate moves weekly, profiles DOI reviewers, and drafts objection responses grounded in approved precedent. It is about seeing and reacting to the external filing market. Tesora operates on your own data and work product: ingesting messy sources, running analyses and reserving, and building and deploying raters — with citations on every value and a built-in Audit Agent. The two can be complementary: Insuraviews for external market and precedent intelligence, Tesora for producing and deploying your own audit-grade work. --- url: https://tesora.ai/compare/tesora-vs-wtw-radar title: Tesora vs WTW Radar section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Tesora vs WTW Radar # Tesora vs WTW Radar WTW Radar is an AI-powered analytics and model-deployment suite for pricing, underwriting, and claims, with Emblem modeling and the Radar Live rating platform. On its own site WTW reports 500+ insurers on Radar, scaling to over 100 million quotes per day. Tesora is an audit-first agentic platform across the actuarial lifecycle. Here is how they compare. ## At a glance | Dimension | Tesora | WTW Radar | | --- | --- | --- | | Scope | Ingest, insight, rating, audit | Pricing, underwriting, and claims analytics + deployment | | Modeling approach | Agentic assembly; the actuary directs | Radar analytics with Emblem; Radar with Python for open source | | Deployment | Callable API / front end from the Workbench | Radar Live — deploy rates at the touch of a button | | Scale | Reproducibility and provenance across the workflow | 100M+ quotes per day; personal and commercial lines | | Provenance | Citations on every value | Auditable, trackable, transparent (per WTW) | ## Where each fits Radar fits carriers that need high-throughput rating across personal and commercial lines, with AI-powered analytics, open-source/Python integration, and one-click or scheduled deployment via Radar Live. Tesora fits teams that want the assembly work automated across the whole lifecycle — including ingesting messy sources — with every output cited and reproducible in a single governed environment. --- url: https://tesora.ai/customers title: Customers — Admitted carriers, E&S, and education section: Customers last_modified: 2026-06-10T04:45:27.112Z --- # Customers — Admitted carriers, E&S, and education # Customers — Admitted carriers, E&S, and education **Specialty · E&S** **Non-Admitted** **Admitted · Market intelligence** **Admitted** --- url: https://tesora.ai/governance title: Governance — Reproducible audit trails for actuarial work section: Product last_modified: 2026-07-07T00:06:59.822Z --- # Governance — Reproducible audit trails for actuarial work # Governance — Reproducible audit trails for actuarial work ### Thank you! We'll be in touch shortly to schedule your demo. ### Request a Demo 30-minute walkthrough with your actual rating models. **you@company.com** **Jane Smith** **Acme Insurance** **Tesora** # Build rating models in Excel. Deploy with audit trails. Version control, trauma studies, and SOX compliance for your rating algorithms. No Python required. Every version saved for on-leveling. ## Three pillars of rating governance Build models your actuaries already know how to build. Version everything for on-leveling. Govern with trauma studies and compliance automation. ## What makes us different The governance features that make actuaries say "finally." ## Why pricing teams choose Tesora Spend less time deploying software. Spend more time updating your models. ## Frequently asked questions Common questions from pricing actuaries. ## See rating governance in action 30-minute demo with your actual rating models. We'll show you trauma studies on your book. **Tesora** --- url: https://tesora.ai/guides/bornhuetter-ferguson title: The Bornhuetter-Ferguson method, explained section: Resources last_modified: 2026-06-20T23:18:09.704Z --- # The Bornhuetter-Ferguson method, explained # The Bornhuetter-Ferguson method, explained The Bornhuetter-Ferguson (BF) method is a reserving technique that blends an a priori expected-loss estimate with the chain ladder. It is most useful for immature accident years, where the chain ladder alone over-reacts to a thin, volatile diagonal. ## The intuition The chain ladder leverages reported losses to project ultimates, which works well for mature years but becomes unstable when little has developed. BF addresses this by weighting between the chain ladder result and an a priori expectation (often an expected loss ratio times premium), using the expected percent reported as the weight. Concretely, BF estimates ultimate losses as reported losses plus expected unreported losses, where the unreported portion is the a priori estimate multiplied by the proportion of losses still expected to emerge. ## When to use it - Immature accident years where the chain ladder is volatile. - Long-tailed lines where early development is sparse. - As a cross-check against the chain ladder and expected-loss-ratio methods. --- url: https://tesora.ai/guides/chain-ladder-method title: The chain ladder method, explained section: Resources last_modified: 2026-06-20T23:18:09.704Z --- # The chain ladder method, explained # The chain ladder method, explained The chain ladder (or development) method is the most widely used loss-reserving technique in property-casualty and health insurance. It projects ultimate losses and estimates IBNR from historical development patterns. Here is how it works, step by step. ## The core assumption The chain ladder method assumes that historical loss development patterns are indicative of future development patterns. That assumption holds only when past loss experience accurately represents the future — so changes in product mix, claims handling, or the legal environment can make the results unreliable without adjustment. ## The seven steps Following Friedland’s "Estimating Unpaid Claims Using Basic Techniques," the technique has seven steps: - Compile claims data into a development triangle (rows = accident years, columns = development periods). - Calculate age-to-age factors (link ratios / loss development factors) between successive valuation dates. - Calculate averages of the age-to-age factors (simple, weighted, etc.). - Select claim development factors using judgment after observing the averages. - Select a tail factor to project from the latest age to ultimate. - Calculate cumulative claim development factors by multiplying selected factors together. - Project ultimate claims by applying the cumulative factors to the latest diagonal; IBNR is ultimate minus reported. ## Strengths and limitations - Strength: simple, transparent, explainable, and based solely on historical data. - Limitation: highly sensitive to data quality and to extreme values. - Limitation: weak when external conditions change (e.g. inflation) unless explicitly adjusted. - Often paired with Bornhuetter-Ferguson or the expected-loss-ratio method for immature years. --- url: https://tesora.ai/guides/excel-rater-to-api title: How to convert an Excel rater into an API section: Resources last_modified: 2026-06-20T23:18:09.704Z --- # How to convert an Excel rater into an API # How to convert an Excel rater into an API Most insurance rating logic still lives in Excel — transparent, but stuck on laptops and hard to deploy. Turning that workbook into a governed, callable API lets every system price consistently while keeping Excel as the source of truth. Here is the approach, and the governance it requires. ## The basic mechanics At its simplest, converting a rater to an API has three steps: - Tag inputs and outputs — name the cells that take parameters (state, limits, exposure) and the cells that return results (premium, factors). - Extract the logic — load the workbook into an engine that executes the formulas server-side, or translate them to production code. - Expose an endpoint — publish a REST API that accepts a JSON payload of inputs and returns the calculated outputs. ## What a naive conversion misses Wrapping a spreadsheet in an endpoint is the easy part. For insurance, the hard part is governance: every rate change has to create a new version, previous versions must remain available for audit and comparison, and each result needs a reproducible record of inputs, outputs, and timestamp. Tesora’s Rating Agent rebuilds Excel raters into versioned, self-testing models, then deploys them to an API or front end — with author, reviewer, and approver kept separate so the process stays SOX-friendly. ## Why an audit trail beats a custom rewrite A common objection to keeping Excel in production is the audit-trail problem: if a calculation ran on someone’s laptop, how do you reproduce it? Running the logic through a governed API with per-request capture actually produces better auditability than a hand-coded rewrite — inputs, outputs, timestamp, and the exact model version, every time. ## Frequently asked questions ### Do I have to rewrite my Excel formulas? No. The goal is to preserve the existing logic exactly. Tesora rebuilds the rater so the formulas and factor tables are inspectable and versioned, not re-typed into opaque code. ### How do rate changes work once it is an API? Each change should produce a new version rather than overwriting what is live, so you can review exactly what changed and roll back if needed. --- url: https://tesora.ai/guides/glm-insurance-pricing-python title: GLM insurance pricing in Python section: Resources last_modified: 2026-06-20T23:18:09.704Z --- # GLM insurance pricing in Python # GLM insurance pricing in Python Most insurers run GLMs, and many were built in Emblem or R. Doing the same thing properly in Python means handling exposure, overdispersion, and validation the way an actuary would — not the way a generic ML tutorial does. Here is the rigorous version. ## Frequency-severity, not a single model Standard practice fits two GLMs: claim frequency (Poisson, outcome = claim count, offset = log of exposure) and claim severity (Gamma, outcome = average severity conditional on a claim, weighted by claim counts). Pure premium is frequency times severity. A single Tweedie model is an alternative, but you must estimate the power parameter rather than defaulting to 1.5. ## The non-negotiables - Exposure as an offset (offset = log(exposure)), not a feature or a sample weight — otherwise the model predicts a count, not a rate. - Quasi-Poisson / overdispersion-corrected standard errors for inference; plain Poisson understates uncertainty. - Actual/Expected validation by factor band, not just global deviance — global fit can hide a bad factor. - Export factor tables as multiplicative relativities compatible with your rating engine. ## Tooling glum and statsmodels both handle exposure offsets and the GLM families correctly; sklearn does not surface exposure offsets cleanly and is a poor fit for actuarial inference. Use temporal cross-validation rather than k-fold, since insurance data has a time structure. --- url: https://tesora.ai/guides/serff-objection-response title: How to respond to a SERFF objection letter section: Resources last_modified: 2026-06-20T23:18:09.704Z --- # How to respond to a SERFF objection letter # How to respond to a SERFF objection letter When a state reviewer finds a filing does not meet requirements, they send an objection letter, and the filer must reply with a response letter. Here is the process, and how to keep every response defensible. ## The process - Open the objection letter from the Correspondence tab and review each objection. - Make any needed schedule item revisions or additions while the filing is in Revise mode, then save. - Start the response letter with "Respond" next to the objection letter; SERFF matches schedule item changes to objections. - Enter a comment for every objection — required even when no schedule change was needed. - Save, then Submit to send the response to the state. When every objection letter has a response, status moves to Pending State Action. ## Notes that trip people up - There can be only one response letter per objection letter. - Additional schedule item changes cannot be made inside the response letter — save, return to Revise mode, then associate them. - Use a Note to Reviewer only for general questions, never to submit approvable material. ## Keeping responses defensible Every response should tie back to a schedule item and a source. Tesora keeps the provenance of every factor and a full audit log of the filing, so a response can point straight to the figure that answers the objection. --- url: https://tesora.ai/ingestion title: Ingestion Agent — Read anything, remember where every number came from section: Product last_modified: 2026-07-07T00:06:59.823Z --- # Ingestion Agent — Read anything, remember where every number came from # Ingestion Agent — Read anything, remember where every number came from **img** # Read anything. Remember where every number came from. Parses SERFF filings, public rate manuals, loss runs, SOVs, and your own actuarial memos into a single typed graph. Actuarially trained, it remembers where every value and rule came from so the rest of the Workbench can cite the source later. ## One folder for filings, public data, and your own files. ## From days of cleanup to minutes, with provenance intact. ## The source travels with the data. ## See Ingestion on your files. Bring a SERFF filing, a broker submission, or a messy loss run. We'll turn it into a typed, cited graph in front of you. --- url: https://tesora.ai/insight title: Insight Agent — Loss modeling, trends, on-leveling, market research section: Product last_modified: 2026-06-10T04:45:27.112Z --- # Insight Agent — Loss modeling, trends, on-leveling, market research # Insight Agent — Loss modeling, trends, on-leveling, market research # Expert-level loss modeling, trending, on-leveling, market research, and more. Analyzes loss data, fits factors, and produces defensible memos with full provenance. Every base rate, factor, credit, and trend number traces back to the page and cell it came from. ## From days to minutes, with the audit trail intact. Pilot benchmarks from specialty P&C teams. Your Day-0 baseline is the only number we promise to beat. ## Citations or it didn't happen. Every base rate, factor, credit, and trend number traces back to the page and cell it came from. If the agent can't cite it, it can't ship it. The audit agent regrades every analysis against CAS Statements of Principles before the committee sees it. ## See Insight on your loss data. Bring a loss triangle, a SERFF filing, or a competitor rate manual. We'll run it through Insight in front of you. --- url: https://tesora.ai/insights title: Insights — Analyses without the busywork section: Product last_modified: 2026-06-10T04:45:27.110Z --- # Insights — Analyses without the busywork # Insights — Analyses without the busywork **Tesora** # Close your data feedback loop Tesora connects your data warehouse end-to-end — from raw submissions to deployed rates and back again. AI agents move data through every table so outcomes always inform the next model. --- url: https://tesora.ai/insurance-pricing-software title: Insurance pricing software built for actuaries section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Insurance pricing software built for actuaries # Insurance pricing software built for actuaries Pricing software should let actuaries move from data to a deployed, defensible rate without handing the model to IT and waiting months. Tesora unifies modeling, self-testing, and deployment in one governed environment, with every factor cited to its source. ## What pricing software should do - Build raters from anywhere — Excel files, SERFF filings, or Python scripts. - Test and audit automatically before anything ships. - Deploy to a callable API or front end without an IT rebuild. - Keep author, reviewer, and approver as separate identities for SOX. - Cite every factor back to its source for regulatory review. ## Why actuaries outgrow spreadsheets Excel raters are transparent but fragile: logic lives on laptops, changes are unversioned, and deployment falls to IT. The result is a multi-month relay race from model sign-off to production — time during which rate adequacy can deteriorate. Tesora preserves the transparency actuaries rely on while adding versioning, governance, and a deployment path that does not require recoding the model. ## How Tesora compares to other pricing platforms Based on each vendor’s own description: Akur8 is an AI-first actuarial platform (pricing, reserving, life) centered on transparent automated GLMs/GAMs; hyperexponential is a Python-native pricing and underwriting platform for specialty and commercial lines; WTW Radar is an AI-powered pricing, underwriting, and claims analytics and deployment suite; Guidewire PricingCenter is a unified pricing and rating environment that deploys via API. Tesora differs in being agentic and audit-first: the work is assembled by trained agents, but every output is cited, reproducible, and reviewable. --- url: https://tesora.ai/lifecycle title: Actuarial Workbench — End-to-end actuarial lifecycle section: Product last_modified: 2026-07-07T00:06:59.820Z --- # Actuarial Workbench — End-to-end actuarial lifecycle # Actuarial Workbench — End-to-end actuarial lifecycle **Data Extraction & Ingestion feeds every stage above** ### Thank you! We'll be in touch shortly to schedule your demo. ### See the Workbench 30-minute walkthrough across the carrier lifecycle, with your filings. **Tesora** # The actuarial workbench for the entire carrier product lifecycle. From filings intelligence to bound policy, on one data spine. Ingest SERFF filings into structured artifacts, fit factors against your book, ship Excel-native raters with audit trails, and feed the same model straight into underwriting and reserving. ## The carrier product lifecycle, on one workbench Five stages, one data spine, one audit trail. The workbench covers the full carrier product lifecycle so the handoffs between actuarial, pricing, and underwriting stay lossless. ## Why pricing teams choose Tesora Spend less time deploying software. Spend more time updating your models. ## Frequently asked questions Common questions from pricing actuaries. ## See the workbench across the lifecycle 30-minute walkthrough with one of your filings. We will ingest it, version it, and show you a trauma study. **Tesora** --- url: https://tesora.ai/media title: Media — Notes, announcements, and prior research section: Company last_modified: 2026-06-10T04:45:27.112Z --- # Media — Notes, announcements, and prior research # Media — Notes, announcements, and prior research # News Press releases and milestones. For media inquiries, email founders@tesora.ai . --- url: https://tesora.ai/non-admitted title: Non-Admitted (E&S) — Bind-ready pricing under E&S speed section: Customers last_modified: 2026-06-10T04:45:27.112Z --- # Non-Admitted (E&S) — Bind-ready pricing under E&S speed # Non-Admitted (E&S) — Bind-ready pricing under E&S speed # Quote E&S with conviction From data to deployed rater, Tesora can help every step. Anomaly detection, curve fitting, SOX compliance, API deployment. ## Making AI trustworthy for E&S actuaries While actuaries can use mainstream AI on narrow tasks, they can't streamline the workflows with AI yet, until now. Tesora brings actuarial rigor in the form of transparency and reproducibility, all with AI that is trained in actuarial science. ## From messy data to auditable rates Tesora puts the power back in the actuary's hands to manage their models, by handling the workflow and IT compliance burden that normally slows a new product launch to a crawl. New product to quote in 1 week, not 3 months. ## The audit pack the chief actuary signs against. Every bound quote ships with a per-policy audit pack. Not a one-line price. A walkable trail from the broker submission all the way down to the cell of the rater that produced each multiplier. ## The lines that don't fit a textbook. Hard-to-rate exposures, multi-class programs, and chief actuaries who own the rate plan end to end. ## Two agents carry the specialty desk. Admitted carrier instead? --- url: https://tesora.ai/privacy title: Privacy Policy section: Legal last_modified: 2026-07-07T00:06:59.823Z --- # Privacy Policy # Privacy Policy **TESORA AI PRIVACY POLICY** Tesora AI Inc. (the "Company," "we," "us," or "our") is committed to maintaining robust privacy protections for its users. This Privacy Policy ("Privacy Policy") is designed to help you understand how we collect, use, disclose, and safeguard the information you provide to us, and to assist you in making informed decisions when using our Service. For purposes of this Privacy Policy, "Site" refers to the Company's website, which can be accessed at tesora.ai. "Service" refers to the Company's products and services accessed via the Site, through which users can use AI agents for actuarial analysis, rating, ingestion, and audit workflows . "You" refers to you, as a user of our Site or our Service, whether on your own behalf or on behalf of an organization you represent. Tesora is primarily a business-to-business service. Where you use the Service under an agreement between your organization and the Company, that organization is the controller of the data it submits, and our handling of that data is governed by the terms of that agreement. To the extent of any conflict between this Privacy Policy and a signed agreement covering your use of the Service, the signed agreement controls. By accessing our Site or our Service, you accept this Privacy Policy and our Terms of Use (found here: tesora.ai/terms), and you consent to our collection, storage, use, and disclosure of your information as described in this Privacy Policy. ## I. INFORMATION WE COLLECT We collect "Non-Personal Information" and "Personal Information." Non-Personal Information includes information that cannot reasonably be used to identify you, such as aggregated or de-identified usage data, general demographic information, referring and exit pages, platform types, and interaction counts. 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ARTIFICIAL INTELLIGENCE AND AUTOMATED PROCESSING The Service uses artificial intelligence and machine learning to analyze Customer Content and generate outputs. We want to be clear about how that works. We do not train shared or foundation models on Customer Content. Your rate plans, filings, books, submissions, and other Customer Content are not used to train models that are shared across customers. Each customer's data is processed within a dedicated, isolated tenant, with no cross-tenant inference and no shared embeddings or vector stores. Human oversight and accuracy. Outputs generated by AI may contain errors or omissions and are intended to support, not replace, the judgment of qualified professionals. You are responsible for reviewing outputs before relying on them, and AI outputs should not be treated as actuarial, legal, financial, or other professional advice. 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We will verify your request, respond within the time required by applicable law, and may ask for information reasonably necessary to confirm your identity. You may use an authorized agent to submit a request on your behalf where permitted by law. ## IX. COOKIES AND YOUR CHOICES On our public marketing Site, we present a consent banner that adapts to your region. If you are in the European Economic Area, the United Kingdom, or a similar jurisdiction, non-essential analytics and marketing cookies load only after you accept them, and you can decline without losing access to the Site. If you are in California or a similar jurisdiction, we provide a "Do Not Sell or Share My Personal Information" option that opts you out of analytics and marketing technologies that may share information with third parties. A persistent "Your Privacy Choices" link in the footer lets you reopen these controls and change your choice at any time. You can also manage cookies through your browser settings, though disabling certain cookies may affect how the Site functions. ## X. LINKS TO OTHER WEBSITES As part of the Service, we may provide links to or integrations with other websites and applications. We are not responsible for the privacy practices of those third parties or the content they provide. This Privacy Policy applies solely to information collected by us through the Site and the Service. When you access a third-party website or application, that party's privacy policy governs your use of it. We encourage you to read the privacy statements of any third-party services before using them. ## XI. CHILDREN'S PRIVACY The Site and the Service are intended for business use by adults and are not directed to anyone under the age of 18. We do not knowingly collect Personal Information from anyone under 18. If we learn that we have collected Personal Information from someone under 18, we will delete that information as soon as reasonably possible. If you believe we have collected such information, please contact us at privacy@tesora.ai. ## XII. CHANGES TO THIS PRIVACY POLICY We reserve the right to change this Privacy Policy at any time. We will notify you of material changes by sending a notice to the primary email address associated with your account or by placing a prominent notice on the Site. Material changes take effect 30 days following such notice. Non-material changes or clarifications take effect immediately. Please check the Site and this page periodically for updates. ## XIII. CONTACT US If you have any questions about this Privacy Policy or our privacy practices, please contact us at privacy@tesora.ai, or by mail at: Tesora AI Inc. 1111B S Governors Ave, STE 28328 Dover, Delaware 19904 --- url: https://tesora.ai/rate-filing-software title: Rate filing software that anticipates the objection section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Rate filing software that anticipates the objection # Rate filing software that anticipates the objection A rate filing is only as strong as its documentation. Tesora prepares filings with every exhibit cited to its source, auto-drafts the supporting memos, and flags the methodology issues a regulator is likely to question — before you submit. ## From rate plan to filing - Prepare SERFF-ready filings with cited exhibits. - Auto-draft actuarial memoranda aligned to ASOP 41. - Predict likely objections and prepare responses in advance. - Keep a full audit trail of who changed what and when. ## Responding to objections When a state returns an objection letter, every response has to be defensible and tied to a schedule item. Tesora keeps the provenance of every factor so a response can point straight back to the source, and the audit log shows the full history of the filing. --- url: https://tesora.ai/rating title: Rating Agent — Base rates, factors, ILFs, callable pricing API section: Product last_modified: 2026-06-10T04:45:27.113Z --- # Rating Agent — Base rates, factors, ILFs, callable pricing API # Rating Agent — Base rates, factors, ILFs, callable pricing API # Turn PDF or Excel base rates, factors and ILFs into a callable pricing API and GUI. Builds and deploys Excel-native raters with trauma studies and SOX-ready audit trails. Most rate plans live as a 60-page filing and a spreadsheet only one person on the team can run. Rating turns that into a versioned, callable pricing API in days, not quarters. ## From quarters to minutes, with the rate plan intact. ## Author, reviewer, approver are three separate identities. Three environments — dev (actuaries build), test (QA validates), prod (underwriters use). Actuaries cannot push directly to prod. Full audit trail of who promoted what and when. Trauma studies gate every deploy. ## See Rating on your rate plan. Bring a SERFF filing or an Excel rater. We'll reconstruct it as a callable pricing API in front of you. --- url: https://tesora.ai/risk-modeling-software title: Insurance risk modeling software for pure premiums section: Product last_modified: 2026-06-20T23:18:09.704Z --- # Insurance risk modeling software for pure premiums # Insurance risk modeling software for pure premiums Risk modeling is where pricing starts: turning loss and exposure data into a defensible pure premium. Tesora helps actuaries build frequency-severity and GLM/GAM models that stay explainable, versioned, and traceable to the underlying data. ## Build models you can defend - Prepare data, engineer variables, and fit GLMs/GAMs with the actuary in control. - Keep models fully explainable for regulators and internal governance. - Version every model and document the process automatically. - Trace each factor back to the data that produced it. ## Frequency-severity, done right Sound pricing splits frequency (Poisson, with a log-exposure offset) from severity (Gamma), then combines them into a pure premium. Tesora follows actuarial practice rather than generic ML shortcuts, and validates with Actual/Expected checks by factor band, not just global fit. --- url: https://tesora.ai/security title: Security — SOC 2 Type II, SOX-ready, ASOP-aware section: Company last_modified: 2026-06-10T04:45:27.113Z --- # Security — SOC 2 Type II, SOX-ready, ASOP-aware # Security — SOC 2 Type II, SOX-ready, ASOP-aware # Built for one of the most heavily regulated industries Tesora was built by actuaries who understand the regulatory frameworks, and serves people who operate under those frameworks every day. **AICPA SOC 2 Type II badge** ## SOC 2 Type II audited, SOX-aligned, actuarial standards-aware Tesora is audited annually against the AICPA SOC 2 trust services criteria for security, availability, processing integrity, and confidentiality. ### Trust center Live SOC 2 report, subprocessor list, and current control status on our Secureframe Trust Center. Procurement teams can request access in one click. How customer data is stored, isolated, and used. For the formal collection and disclosure language, see our Privacy Policy . ## On-prem or hosted in an isolated environment Most carriers deploy Tesora in a hosted environment with full encryption and per-tenant isolation. For carriers with internal-only model policies, Tesora supports on-prem deployment with model inference in the carrier's own VPC. Same audit trail, same control plane, same agents. --- url: https://tesora.ai/students title: Students & Education — Production-grade actuarial tools section: Customers last_modified: 2026-06-10T04:45:27.113Z --- # Students & Education — Production-grade actuarial tools # Students & Education — Production-grade actuarial tools # Students. ## The best decade to enter the profession. A credentialed P&C actuary today is in short supply, in high demand, and increasingly underwater on grunt work. The chief actuaries we work with are open about the bottleneck: there is more work than there are people who can sign off on it. That is the gap students are walking into. ## Lower grunt work. Hold the audit standard. Tesora takes the steps where the work used to leak. Ingest, schedule build-up, citation, audit. The chief actuary still signs. You still own the judgment. The credential stays gold-standard because the audit trail is gold-standard. You spend the saved hours on the calls that move the rate plan, not on reformatting loss runs at midnight. ## Apply for free student access. Sandbox + public SERFF data. What's the first thing you build? ### Submitted Thanks. Philo will reply within a week. If you don't hear back, write directly to sales@tesora.ai. --- url: https://tesora.ai/students/cas-exams title: CAS exam study guides section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # CAS exam study guides # CAS exam study guides A guide to every exam on the Casualty Actuarial Society path, from the preliminary exams through the upper-level Exams 5–9, leading to the ACAS and FCAS designations. Pick an exam below for format, syllabus topics, and study tips. ## Preliminary exams - Exam P (CAS Exam 1) — Probability: Probability foundations: general probability, univariate and multivariate random variables. - Exam FM (CAS Exam 2) — Financial Mathematics: The time value of money and the mathematics of interest, annuities, bonds, and cash flows. - MAS-I — Modern Actuarial Statistics I: Probability models, statistics, and the foundations of stochastic processes for actuaries. - MAS-II — Modern Actuarial Statistics II: Generalized linear models, Bayesian analysis, and advanced statistical modeling for actuaries. ## ACAS exams - Exam 5 — Basic Techniques for Ratemaking and Estimating Claim Liabilities: Basic ratemaking and reserving — the core technical skills of a P&C actuary. - Exam 6 — Regulation and Financial Reporting: Insurance regulation, financial reporting, and statutory accounting for P&C insurers. ## FCAS exams - Exam 7 — Estimation of Policy Liabilities, Insurance Company Valuation, and ERM: Advanced reserving, insurance company valuation, and enterprise risk management. - Exam 8 — Advanced Ratemaking: Advanced ratemaking: classification, excess and deductible pricing, and credibility. - Exam 9 — Financial Risk and Rate of Return: Financial risk, portfolio theory, capital, and rate of return for insurers. --- url: https://tesora.ai/students/cas-exams/exam-5 title: Exam 5: Basic Techniques for Ratemaking and Estimating Claim Liabilities — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # Exam 5: Basic Techniques for Ratemaking and Estimating Claim Liabilities — study guide # Exam 5: Basic Techniques for Ratemaking and Estimating Claim Liabilities — study guide Basic ratemaking and reserving — the core technical skills of a P&C actuary. This guide covers the format, the syllabus topics, and how to study for Exam 5 on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Written-answer exam administered in an exam window ## What it covers - Ratemaking (45–55%): data, exposure bases, overall rate-level indications via pure premium and loss ratio methods - Estimating claim liabilities / reserving (45–55%): development triangles and unpaid-claim estimation - Methods: development/chain ladder, expected losses, Bornhuetter-Ferguson, Cape Cod, frequency-severity, Berquist-Sherman, Benktander ## How to study - Friedland’s "Estimating Unpaid Claims Using Basic Techniques" is the backbone of the reserving half. - Be able to select and justify a method, not just compute it. - Use the CAS retired sample items and Answering & Grading Insights videos — they show exactly how answers are graded. - Practice written-answer technique; partial credit and clear justification matter. ## Where it sits on the path Exam 5 is a ACAS requirement administered by the CAS. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/exam-6 title: Exam 6: Regulation and Financial Reporting — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # Exam 6: Regulation and Financial Reporting — study guide # Exam 6: Regulation and Financial Reporting — study guide Insurance regulation, financial reporting, and statutory accounting for P&C insurers. This guide covers the format, the syllabus topics, and how to study for Exam 6 on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Written-answer exam administered in an exam window (US, Canada, and other variants) ## What it covers - Insurance regulation and the role of the actuary - Statutory accounting and financial reporting - Reinsurance accounting - Statements of actuarial opinion ## How to study - Pick the correct regional variant (e.g. Exam 6-US vs 6-Canada) for your market. - This exam is reading-heavy — build a memorization plan early. - Confirm the current syllabus on the CAS exam page. ## Where it sits on the path Exam 6 is a ACAS requirement administered by the CAS. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/exam-7 title: Exam 7: Estimation of Policy Liabilities, Insurance Company Valuation, and ERM — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # Exam 7: Estimation of Policy Liabilities, Insurance Company Valuation, and ERM — study guide # Exam 7: Estimation of Policy Liabilities, Insurance Company Valuation, and ERM — study guide Advanced reserving, insurance company valuation, and enterprise risk management. This guide covers the format, the syllabus topics, and how to study for Exam 7 on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Written-answer exam administered in an exam window ## What it covers - Advanced estimation of claim liabilities - Insurance company valuation - Enterprise risk management (ERM) ## How to study - The reserving material builds directly on Exam 5 — keep those techniques sharp. - Expect open-ended problems that require analyzing a complex data set. - Confirm the current syllabus on the CAS exam page. ## Where it sits on the path Exam 7 is a FCAS requirement administered by the CAS. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/exam-8 title: Exam 8: Advanced Ratemaking — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # Exam 8: Advanced Ratemaking — study guide # Exam 8: Advanced Ratemaking — study guide Advanced ratemaking: classification, excess and deductible pricing, and credibility. This guide covers the format, the syllabus topics, and how to study for Exam 8 on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Written-answer exam administered in an exam window ## What it covers - Classification ratemaking and GLMs in pricing - Excess, deductible, and increased limits pricing - Individual risk rating and credibility - Catastrophe and reinsurance pricing concepts ## How to study - GLM fluency from MAS-II pays off heavily here. - Drill increased-limits and excess pricing until the mechanics are automatic. - Confirm the current syllabus on the CAS exam page. ## Where it sits on the path Exam 8 is a FCAS requirement administered by the CAS. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/exam-9 title: Exam 9: Financial Risk and Rate of Return — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # Exam 9: Financial Risk and Rate of Return — study guide # Exam 9: Financial Risk and Rate of Return — study guide Financial risk, portfolio theory, capital, and rate of return for insurers. This guide covers the format, the syllabus topics, and how to study for Exam 9 on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Written-answer exam administered in an exam window ## What it covers - Portfolio theory and asset pricing - Cost of capital and rate of return - Financial risk management - Capital allocation ## How to study - This is the most finance-heavy CAS exam — review portfolio theory fundamentals first. - Tie the finance concepts back to insurer capital and pricing. - Confirm the current syllabus on the CAS exam page. ## Where it sits on the path Exam 9 is a FCAS requirement administered by the CAS. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/exam-fm title: Exam FM (CAS Exam 2): Financial Mathematics — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # Exam FM (CAS Exam 2): Financial Mathematics — study guide # Exam FM (CAS Exam 2): Financial Mathematics — study guide The time value of money and the mathematics of interest, annuities, bonds, and cash flows. This guide covers the format, the syllabus topics, and how to study for Exam FM (CAS Exam 2) on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Computer-based, multiple-choice (Prometric) ## What it covers - Time value of money and interest theory - Annuities and cash flows - Loans and amortization - Bonds and general financial instruments - Immunization and asset-liability concepts ## How to study - Build fluency with the financial functions before drilling word problems. - P and FM can be taken in either order — most students take one of them first. - Practice under time pressure; the math is not hard but the pace is. ## Where it sits on the path Exam FM (CAS Exam 2) is a preliminary requirement administered by the SOA. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/exam-p title: Exam P (CAS Exam 1): Probability — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # Exam P (CAS Exam 1): Probability — study guide # Exam P (CAS Exam 1): Probability — study guide Probability foundations: general probability, univariate and multivariate random variables. This guide covers the format, the syllabus topics, and how to study for Exam P (CAS Exam 1) on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format 3-hour computer-based test, 30 multiple-choice questions (Prometric) ## What it covers - General probability - Univariate random variables (the most heavily weighted area) - Multivariate random variables - Risk-management applications of probability ## How to study - Calculus (series, differentiation, integration) is assumed knowledge going in. - Univariate random variables is the largest section — weight your study toward it. - Spend the bulk of your time on practice problems; finish with timed full-length exams. - Use the official SOA sample exam and past questions to calibrate difficulty. ## Where it sits on the path Exam P (CAS Exam 1) is a preliminary requirement administered by the SOA. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/mas-i title: MAS-I: Modern Actuarial Statistics I — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # MAS-I: Modern Actuarial Statistics I — study guide # MAS-I: Modern Actuarial Statistics I — study guide Probability models, statistics, and the foundations of stochastic processes for actuaries. This guide covers the format, the syllabus topics, and how to study for MAS-I on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Computer-based, multiple-choice ## What it covers - Probability models (stochastic processes, frequency and severity) - Statistics and parameter estimation - Extended linear models - Time series with constant variance ## How to study - MAS-I is a step up in breadth from P and FM — start early. - Work the official content outline objective by objective. - Confirm current syllabus weights on the CAS exam page before you plan. ## Where it sits on the path MAS-I is a preliminary requirement administered by the CAS. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/cas-exams/mas-ii title: MAS-II: Modern Actuarial Statistics II — study guide section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # MAS-II: Modern Actuarial Statistics II — study guide # MAS-II: Modern Actuarial Statistics II — study guide Generalized linear models, Bayesian analysis, and advanced statistical modeling for actuaries. This guide covers the format, the syllabus topics, and how to study for MAS-II on the path to your CAS credentials. Always confirm current fees, dates, and syllabus weights on the official page before you register. ## Format Computer-based, multiple-choice ## What it covers - Generalized linear models (GLMs) - Bayesian analysis and Markov Chain Monte Carlo - Credibility and statistical learning - Model selection and validation ## How to study - GLM intuition here pays off directly in pricing work and on Exam 8. - Practice interpreting model output, not just fitting models. - Confirm the current syllabus and weights on the CAS exam page. ## Where it sits on the path MAS-II is a preliminary requirement administered by the CAS. See the full CAS path from preliminary exams through the ACAS and FCAS designations. --- url: https://tesora.ai/students/how-to-become-pc-actuary title: How to become a property & casualty actuary section: Customers last_modified: 2026-06-20T23:18:09.704Z --- # How to become a property & casualty actuary # How to become a property & casualty actuary Becoming a credentialed P&C actuary means passing a series of exams administered by the Casualty Actuarial Society (CAS) and completing its supporting requirements, leading to the Associate (ACAS) and Fellow (FCAS) designations. Here is the path. ## The path at a glance - Preliminary exams: Exam P (Probability) and Exam FM (Financial Mathematics), administered by the SOA and accepted by the CAS. - Validation by Educational Experience (VEE): Economics and Accounting & Finance, usually met by college coursework. - Modern Actuarial Statistics: MAS-I and MAS-II, plus the Data and Insurance Series Courses (DISCs). - ACAS exams: Exam 5 (Basic Ratemaking & Reserving) and Exam 6 (Regulation & Financial Reporting), plus Property & Casualty Predictive Analytics (PCPA) and the Course on Professionalism. - FCAS exams: Exam 7 (Advanced Estimation of Claims Liabilities & ERM), Exam 8 (Advanced Ratemaking), and Exam 9 (Financial Risk & Rate of Return). ## How long it takes Most candidates take several years and invest a few hundred hours of study per upper-level exam, fitting exams around full-time work. The preliminary exams are multiple choice and math-focused; the upper-level exams (5–9) are broader and more open-ended. ## Why now is a strong time to enter Demand for credentialed P&C actuaries is high, the workforce skews toward retirement, and AI is removing grunt work rather than the judgment the credential certifies. The next cohort will own more of the rate plan, earlier. --- url: https://tesora.ai/terms title: Terms of Use section: Legal last_modified: 2026-07-07T00:06:59.824Z --- # Terms of Use # Terms of Use **Website Terms of Use** This service is currently in closed beta. Access is limited to invited users only, and features, functionality, and these terms may change without prior notice. The website located at (the "Site") is a copyrighted work belonging to Tesora AI Inc. ("Company", "us", "our", and "we"). Certain features of the Site may be subject to additional guidelines, terms, or rules, which will be posted on the Site in connection with such features. 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You hereby irrevocably waive (and agree to cause to be waived) any claims and assertions of moral rights or attribution with respect to your User Content. ### 3.3 Acceptable Use Policy The following terms constitute our "Acceptable Use Policy": You agree not to use the Site to collect, upload, transmit, display, or distribute any User Content (i) that violates any third-party right, including any copyright, trademark, patent, trade secret, moral right, privacy right, right of publicity, or any other intellectual property or proprietary right, (ii) that is unlawful, harassing, abusive, tortious, threatening, harmful, invasive of another's privacy, vulgar, defamatory, false, intentionally misleading, trade libelous, pornographic, obscene, patently offensive, promotes racism, bigotry, hatred, or physical harm of any kind against any group or individual or is otherwise objectionable, (iii) that is harmful to minors in any way, or (iv) that is in violation of any law, regulation, or obligations or restrictions imposed by any third party. In addition, you agree not to: (i) upload, transmit, or distribute to or through the Site any computer viruses, worms, or any software intended to damage or alter a computer system or data; (ii) send through the Site unsolicited or unauthorized advertising, promotional materials, junk mail, spam, chain letters, pyramid schemes, or any other form of duplicative or unsolicited messages, whether commercial or otherwise; (iii) use the Site to harvest, collect, gather or assemble information or data regarding other users, including e-mail addresses, without their consent; (iv) interfere with, disrupt, or create an undue burden on servers or networks connected to the Site, or violate the regulations, policies or procedures of such networks; (v) attempt to gain unauthorized access to the Site (or to other computer systems or networks connected to or used together with the Site), whether through password mining or any other means; (vi) harass or interfere with any other user's use and enjoyment of the Site; or (vii) use software or automated agents or scripts to produce multiple accounts on the Site, or to generate automated searches, requests, or queries to (or to strip, scrape, or mine data from) the Site (provided, however, that we conditionally grant to the operators of public search engines revocable permission to use spiders to copy materials from the Site for the sole purpose of and solely to the extent necessary for creating publicly available searchable indices of the materials, but not caches or archives of such materials, subject to the parameters set forth in our robots.txt file). ### 3.4 Enforcement We reserve the right (but have no obligation) to review, refuse and/or remove any User Content in our sole discretion, and to investigate and/or take appropriate action against you in our sole discretion if you violate the Acceptable Use Policy or any other provision of these Terms or otherwise create liability for us or any other person. Such action may include removing or modifying your User Content, terminating your Account in accordance with Section 8, and/or reporting you to law enforcement authorities. ### 3.5 AI Features and Output The Site and Services use artificial intelligence and machine learning to analyze the inputs you submit and to generate results, analyses, and other materials ("Output"). As between you and Company, and subject to Section 2.5 and the rights of any third party, you retain your rights in the User Content you submit, and Company does not claim ownership of the Output generated for you through your use of the Services. You are responsible for your use of the Output. You acknowledge that AI-generated Output is probabilistic, may be inaccurate or incomplete, and may not reflect the most current information. Output is provided to support, and not to replace, the judgment of qualified professionals, and does not constitute actuarial, legal, financial, accounting, or other professional advice. In particular, the Output is not a statement of actuarial opinion and is not a substitute for the analysis, professional judgment, or sign-off of a qualified actuary. Where you or your organization use the Output in connection with actuarial work product, rate filings, reserving, or other regulated deliverables, a credentialed actuary remains solely responsible for that work and for compliance with all applicable actuarial standards of practice, qualification standards, and codes of professional conduct. You will not represent the Output, in whole or in part, as an actuarial opinion or as the work of a qualified actuary. You are solely responsible for reviewing and validating Output before relying on it, and for any decisions you make based on it. Given the nature of machine learning, Output generated for you may not be unique, and the Services may generate the same or similar output for others. Notwithstanding the license granted in Section 3.2, Company will not use your User Content to train foundation models or other models that are shared across customers, and the license in Section 3.2 does not extend to such use. Company processes your User Content within an isolated environment as further described in our Privacy Policy. You agree that you will not: (i) submit User Content that you do not have the right to submit or that violates the Acceptable Use Policy; (ii) use the Services or Output to develop or train a competing artificial intelligence or machine learning product or service; (iii) attempt to reverse engineer or discover the underlying models, weights, or components of the Services; or (iv) use the Output in a manner that misrepresents it as human-generated where disclosure of its AI origin is required by law. ## 4. Indemnification You agree to indemnify and hold Company (and its officers, employees, and agents) harmless, including costs and attorneys' fees, from any claim or demand made by any third party due to or arising out of (a) your use of the Site, (b) your violation of these Terms, (c) your violation of applicable laws or regulations or (d) your User Content. Company reserves the right, at your expense, to assume the exclusive defense and control of any matter for which you are required to indemnify us, and you agree to cooperate with our defense of these claims. You agree not to settle any matter without the prior written consent of Company. Company will use reasonable efforts to notify you of any such claim, action or proceeding upon becoming aware of it. ## 5. Third-Party Links & Ads; Other Users ### 5.1 Third-Party Links & Ads The Site may contain links to third-party websites and services, and/or display advertisements for third parties (collectively, "Third-Party Links & Ads"). Such Third-Party Links & Ads are not under the control of Company, and Company is not responsible for any Third-Party Links & Ads. Company provides access to these Third-Party Links & Ads only as a convenience to you, and does not review, approve, monitor, endorse, warrant, or make any representations with respect to Third-Party Links & Ads. You use all Third-Party Links & Ads at your own risk, and should apply a suitable level of caution and discretion in doing so. When you click on any of the Third-Party Links & Ads, the applicable third party's terms and policies apply, including the third party's privacy and data gathering practices. ### 5.2 Other Users Each Site user is solely responsible for any and all of its own User Content. Since we do not control User Content, you acknowledge and agree that we are not responsible for any User Content, whether provided by you or by others. We make no guarantees regarding the accuracy, currency, suitability, appropriateness, or quality of any User Content. Your interactions with other Site users are solely between you and such users. You agree that Company will not be responsible for any loss or damage incurred as the result of any such interactions. If there is a dispute between you and any Site user, we are under no obligation to become involved. ### 5.3 Release You hereby release and forever discharge Company (and our officers, employees, agents, successors, and assigns) from, and hereby waive and relinquish, each and every past, present and future dispute, claim, controversy, demand, right, obligation, liability, action and cause of action of every kind and nature (including personal injuries, death, and property damage), that has arisen or arises directly or indirectly out of, or that relates directly or indirectly to, the Site (including any interactions with, or act or omission of, other Site users or any Third-Party Links & Ads). IF YOU ARE A CALIFORNIA RESIDENT, YOU HEREBY WAIVE CALIFORNIA CIVIL CODE SECTION 1542 IN CONNECTION WITH THE FOREGOING, WHICH STATES: "A GENERAL RELEASE DOES NOT EXTEND TO CLAIMS WHICH THE CREDITOR OR RELEASING PARTY DOES NOT KNOW OR SUSPECT TO EXIST IN HIS OR HER FAVOR AT THE TIME OF EXECUTING THE RELEASE, WHICH IF KNOWN BY HIM OR HER MUST HAVE MATERIALLY AFFECTED HIS OR HER SETTLEMENT WITH THE DEBTOR OR RELEASED PARTY." ## 6. Disclaimers THE SITE IS PROVIDED ON AN "AS-IS" AND "AS AVAILABLE" BASIS, AND COMPANY (AND OUR SUPPLIERS) EXPRESSLY DISCLAIM ANY AND ALL WARRANTIES AND CONDITIONS OF ANY KIND, WHETHER EXPRESS, IMPLIED, OR STATUTORY, INCLUDING ALL WARRANTIES OR CONDITIONS OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE, QUIET ENJOYMENT, ACCURACY, OR NON-INFRINGEMENT. WE (AND OUR SUPPLIERS) MAKE NO WARRANTY THAT THE SITE WILL MEET YOUR REQUIREMENTS, WILL BE AVAILABLE ON AN UNINTERRUPTED, TIMELY, SECURE, OR ERROR-FREE BASIS, OR WILL BE ACCURATE, RELIABLE, FREE OF VIRUSES OR OTHER HARMFUL CODE, COMPLETE, LEGAL, OR SAFE. IF APPLICABLE LAW REQUIRES ANY WARRANTIES WITH RESPECT TO THE SITE, ALL SUCH WARRANTIES ARE LIMITED IN DURATION TO 90 DAYS FROM THE DATE OF FIRST USE. SOME JURISDICTIONS DO NOT ALLOW THE EXCLUSION OF IMPLIED WARRANTIES, SO THE ABOVE EXCLUSION MAY NOT APPLY TO YOU. SOME JURISDICTIONS DO NOT ALLOW LIMITATIONS ON HOW LONG AN IMPLIED WARRANTY LASTS, SO THE ABOVE LIMITATION MAY NOT APPLY TO YOU. ## 7. Limitation on Liability TO THE MAXIMUM EXTENT PERMITTED BY LAW, IN NO EVENT SHALL COMPANY (OR OUR SUPPLIERS) BE LIABLE TO YOU OR ANY THIRD PARTY FOR ANY LOST PROFITS, LOST DATA, COSTS OF PROCUREMENT OF SUBSTITUTE PRODUCTS, OR ANY INDIRECT, CONSEQUENTIAL, EXEMPLARY, INCIDENTAL, SPECIAL OR PUNITIVE DAMAGES ARISING FROM OR RELATING TO THESE TERMS OR YOUR USE OF, OR INABILITY TO USE, THE SITE, EVEN IF COMPANY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. ACCESS TO, AND USE OF, THE SITE IS AT YOUR OWN DISCRETION AND RISK, AND YOU WILL BE SOLELY RESPONSIBLE FOR ANY DAMAGE TO YOUR DEVICE OR COMPUTER SYSTEM, OR LOSS OF DATA RESULTING THEREFROM. TO THE MAXIMUM EXTENT PERMITTED BY LAW, NOTWITHSTANDING ANYTHING TO THE CONTRARY CONTAINED HEREIN, OUR LIABILITY TO YOU FOR ANY DAMAGES ARISING FROM OR RELATED TO THESE TERMS (FOR ANY CAUSE WHATSOEVER AND REGARDLESS OF THE FORM OF THE ACTION), WILL AT ALL TIMES BE LIMITED TO A MAXIMUM OF FIFTY US DOLLARS. THE EXISTENCE OF MORE THAN ONE CLAIM WILL NOT ENLARGE THIS LIMIT. YOU AGREE THAT OUR SUPPLIERS WILL HAVE NO LIABILITY OF ANY KIND ARISING FROM OR RELATING TO THESE TERMS. SOME JURISDICTIONS DO NOT ALLOW THE LIMITATION OR EXCLUSION OF LIABILITY FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES, SO THE ABOVE LIMITATION OR EXCLUSION MAY NOT APPLY TO YOU. ## 8. Term and Termination Subject to this Section, these Terms will remain in full force and effect while you use the Site. We may suspend or terminate your rights to use the Site (including your Account) at any time for any reason at our sole discretion, including for any use of the Site in violation of these Terms. Upon termination of your rights under these Terms, your Account and right to access and use the Site will terminate immediately. You understand that any termination of your Account may involve deletion of your User Content associated with your Account from our live databases. Company will not have any liability whatsoever to you for any termination of your rights under these Terms, including for termination of your Account or deletion of your User Content. Even after your rights under these Terms are terminated, the following provisions of these Terms will remain in effect: Sections 2.2 through 2.6, Section 3 and Sections 4 through 10. ## 9. Copyright Policy Company respects the intellectual property of others and asks that users of our Site do the same. In connection with our Site, we have adopted and implemented a policy respecting copyright law that provides for the removal of any infringing materials and for the termination, in appropriate circumstances, of users of our online Site who are repeat infringers of intellectual property rights, including copyrights. If you believe that one of our users is, through the use of our Site, unlawfully infringing the copyright(s) in a work, and wish to have the allegedly infringing material removed, the following information in the form of a written notification (pursuant to 17 U.S.C. § 512(c)) must be provided to our designated Copyright Agent: - your physical or electronic signature; - identification of the copyrighted work(s) that you claim to have been infringed; - identification of the material on our services that you claim is infringing and that you request us to remove; - sufficient information to permit us to locate such material; - your address, telephone number, and e-mail address; - a statement that you have a good faith belief that use of the objectionable material is not authorized by the copyright owner, its agent, or under the law; and - a statement that the information in the notification is accurate, and under penalty of perjury, that you are either the owner of the copyright that has allegedly been infringed or that you are authorized to act on behalf of the copyright owner. Please note that, pursuant to 17 U.S.C. § 512(f), any misrepresentation of material fact (falsities) in a written notification automatically subjects the complaining party to liability for any damages, costs and attorney's fees incurred by us in connection with the written notification and allegation of copyright infringement. ## 10. General ### 10.1 Changes These Terms are subject to occasional revision, and if we make any substantial changes, we may notify you by sending you an e-mail to the last e-mail address you provided to us (if any), and/or by prominently posting notice of the changes on our Site. You are responsible for providing us with your most current e-mail address. In the event that the last e-mail address that you have provided us is not valid, or for any reason is not capable of delivering to you the notice described above, our dispatch of the e-mail containing such notice will nonetheless constitute effective notice of the changes described in the notice. Continued use of our Site following notice of such changes shall indicate your acknowledgement of such changes and agreement to be bound by the terms and conditions of such changes. ### 10.2 Dispute Resolution Please read the following arbitration agreement in this Section (the "Arbitration Agreement") carefully. It requires you to arbitrate disputes with Company, its parent companies, subsidiaries, affiliates, successors and assigns and all of their respective officers, directors, employees, agents, and representatives (collectively, the "Company Parties") and limits the manner in which you can seek relief from the Company Parties. #### 10.2.1 Applicability of Arbitration Agreement You agree that any dispute between you and any of the Company Parties relating in any way to the Site, the services offered on the Site (the "Services") or these Terms will be resolved by binding arbitration, rather than in court, except that (1) you and the Company Parties may assert individualized claims in small claims court if the claims qualify, remain in such court and advance solely on an individual, non-class basis; and (2) you or the Company Parties may seek equitable relief in court for infringement or other misuse of intellectual property rights (such as trademarks, trade dress, domain names, trade secrets, copyrights, and patents). #### 10.2.2 Informal Dispute Resolution There might be instances when a Dispute arises between you and Company. If that occurs, Company is committed to working with you to reach a reasonable resolution. You and Company agree that good faith informal efforts to resolve Disputes can result in a prompt, low‐cost and mutually beneficial outcome. You and Company therefore agree that before either party commences arbitration against the other (or initiates an action in small claims court if a party so elects), we will personally meet and confer telephonically or via videoconference, in a good faith effort to resolve informally any Dispute covered by this Arbitration Agreement ("Informal Dispute Resolution Conference"). If you are represented by counsel, your counsel may participate in the conference, but you will also participate in the conference. The party initiating a Dispute must give notice to the other party in writing of its intent to initiate an Informal Dispute Resolution Conference ("Notice"), which shall occur within 45 days after the other party receives such Notice, unless an extension is mutually agreed upon by the parties. Notice to Company that you intend to initiate an Informal Dispute Resolution Conference should be sent by email to: federico@tesora.ai, or by regular mail to 1111B S Governors Ave, STE 28328, Dover, Delaware 19904. The Notice must include: (1) your name, telephone number, mailing address, e‐mail address associated with your account (if you have one); (2) the name, telephone number, mailing address and e‐mail address of your counsel, if any; and (3) a description of your Dispute. #### 10.2.3 Arbitration Rules and Forum These Terms evidence a transaction involving interstate commerce; and notwithstanding any other provision herein with respect to the applicable substantive law, the Federal Arbitration Act, 9 U.S.C. § 1 et seq., will govern the interpretation and enforcement of this Arbitration Agreement and any arbitration proceedings. If the Informal Dispute Resolution Process described above does not resolve satisfactorily within 60 days after receipt of your Notice, you and Company agree that either party shall have the right to finally resolve the Dispute through binding arbitration. #### 10.2.4 Authority of Arbitrator The arbitrator shall have exclusive authority to resolve all disputes subject to arbitration hereunder including, without limitation, any dispute related to the interpretation, applicability, enforceability or formation of this Arbitration Agreement or any portion of the Arbitration Agreement. #### 10.2.5 Waiver of Jury Trial EXCEPT AS SPECIFIED in section 10.2(a) YOU AND THE COMPANY PARTIES HEREBY WAIVE ANY CONSTITUTIONAL AND STATUTORY RIGHTS TO SUE IN COURT AND HAVE A TRIAL IN FRONT OF A JUDGE OR A JURY. #### 10.2.6 Waiver of Class or Other Non-Individualized Relief YOU AND COMPANY AGREE THAT, EXCEPT AS SPECIFIED IN SUBSECTION 10.2(h) EACH OF US MAY BRING CLAIMS AGAINST THE OTHER ONLY ON AN INDIVIDUAL BASIS AND NOT ON A CLASS, REPRESENTATIVE, OR COLLECTIVE BASIS. ### 10.3 Export The Site may be subject to U.S. export control laws and may be subject to export or import regulations in other countries. You agree not to export, reexport, or transfer, directly or indirectly, any U.S. technical data acquired from Company, or any products utilizing such data, in violation of the United States export laws or regulations. ### 10.4 Electronic Communications The communications between you and Company use electronic means, whether you use the Site or send us emails, or whether Company posts notices on the Site or communicates with you via email. For contractual purposes, you (a) consent to receive communications from Company in an electronic form; and (b) agree that all terms and conditions, agreements, notices, disclosures, and other communications that Company provides to you electronically satisfy any legal requirement that such communications would satisfy if it were be in a hardcopy writing. ### 10.5 Relationship to Other Agreements If you or your organization has entered into a separate written agreement with Company governing access to the Site or the Services (such as a master subscription, enterprise, or data processing agreement), that agreement governs to the extent it addresses the same subject matter as these Terms, and in the event of any conflict between these Terms and that agreement, that agreement controls. These Terms otherwise govern your use of the Site. ## Contact Information Federico Reyes Address: 1111B S Governors Ave STE 28328 Dover, Delaware 19904 Telephone: 9146710700 Email: federico@tesora.ai