Directory of AI insurance pricing and actuarial platform vendors

Akur8 is an actuarial platform for non-life insurance pricing and reserving, built on what the company calls Transparent Machine Learning. The pricing product automates feature engineering and risk model construction while keeping every variable contribution visible to the actuary, and the reserving product, acquired as Arius from Milliman, replaces spreadsheet based reserve analysis. A rate repository and deployment engine carry approved rates into production through open interfaces, alongside tooling for re-rating, rate selection, demand modeling and financial forecasting. Buyers are non-life carriers, reinsurers, managing general agents and actuarial consultancies: more than 100 customers across 40 or more countries, with named users including AXA, Generali, Munich Re, MS&AD, the specialty insurer Canopius, the managing general agent Bass Underwriters, and the insurtechs Manypets and wefox. Reported daily actuarial users have grown from around 900 to more than 3,000 across personal, commercial and specialty lines. Strategic partnerships include Milliman, Guidewire, Duck Creek and Sapiens, and a partnership with hyperexponential covers specialty and commercial pricing. In January 2026 Akur8 acquired Matrisk AI, a New York platform that converts unstructured regulatory filings from public sources into searchable market intelligence, and launched the capability as Akur8 Discover. That product lets insurers search and analyze property and casualty rate and rule filings with structured variables, tables, rules and source linked citations, benchmark rating strategies, track rate movements across states, perils and lines of business, and anticipate regulatory objections before filing. The acquisition materially changed the company's technical base by adding large language model and unstructured data processing expertise alongside its original transparent modeling approach. Chief executive is Samuel Falmagne.

Pricing, rating and decisioning platform founded in Israel in 2001 and now operating from Boston with offices across the Americas, Europe, Asia Pacific and Israel, serving more than 80 insurers, banks and lenders across five continents. It sells into two industries from one platform: for insurers, dynamic pricing, an enterprise rating engine, analytical underwriting, product personalization and customer engagement; for banks and lenders, price optimization across unsecured loans, cards, auto finance and mortgages, with Lending Plus combining pricing analytics and simulation with automated credit risk decisioning. Predictive modeling is the capability the company was founded on. It has since layered generative and agentic capability on top: Earnix Copilot, AI Studio (September 2025) for building governed production agents with guardrails, permissions and test coverage, Engage-It for real time next best action across service and distribution channels, Filing Accelerator for regulatory rate filings, and AIOS, the AI Orchestration System for Insurance launched 17 June 2026 under chief executive Robin Gilthorpe, which extends decisioning across risk evaluation, underwriting, claims and engagement. Its generative line came largely by acquisition: it bought Zelros, a generative AI specialist for insurers and banks, and folded that recommendation capability into the predictive platform. Integrations include Guidewire PolicyCenter, demonstrated live in a named customer deployment, and Verisk's Electronic Rating Content for commercial lines rating with deviations preserved.

hyperexponential builds what it calls a pricing decision intelligence platform for commercial property and casualty insurers, reinsurers and managing general agents. Its core product hx Renew replaces spreadsheet based rating with a Python engine in which the carrier's own actuaries author, deploy and version pricing models, and underwriters run them against structured submission data, with more than $45 billion of gross written premium contracted through the platform annually. Around that core the company has added an artificial intelligence layer: a data ingestion library, a virtual actuarial assistant, Portfolio Intelligence, and Triage, an agentic product that reads incoming broker submissions and prioritizes them against each carrier's appetite rather than by arrival order. Every decision, rule change and model update is captured end to end for regulatory review, and customers retain structured access to their own data, configuration and code. Founded in London, with a New York office opened during a United States expansion into excess and surplus lines.

Lumnion is a Munich headquartered pricing platform for non life and health insurers, with engineering and a second base in Istanbul. The platform runs end to end across five named modules: Bee automates data preparation and earned premium calculation, Cheetah performs risk pricing and actuarial modeling, Dolphin handles commercial price management and scenario analysis, Engine is an integrated rate engine that pushes a commercial price decision into the market directly, and Octopus enriches internal data with external sources. The modeling layer is deliberately open rather than proprietary: actuaries can fit gradient boosted trees, random forests, decision trees and both generalized linear and generalized additive models, then compare them side by side on the same dataset with statistical results published for every factor and model, automated and manual variable grouping, and advice on factors and interactions. Lumnion's own methodology converts the output of opaque machine learning models into base prices and coefficients, exposing which variables were used, their significance and their interactions, so that a result can be operated and audited rather than only trusted. Reporting is audit traceable and simulation results are shown geographically. Named customers on the company's own site include Allianz, Cigna, HDI, NN Hayat Emeklilik, Magdeburger, Mailo, Turkiye Sigorta, Aksigorta, AgeSA, Eureko, Fiba, Neova, Quick, Unico and the Turkish insurance sector information and monitoring center. Partnerships include Amazon Web Services, EY and SAP Fioneer, and the platform is listed on the Amazon marketplace. The company publishes four current certifications with the certificates themselves available for download.

Milliman is a global actuarial and consulting firm that also ships a portfolio of named, separately licensed analytics products to insurers. This profile covers those products rather than the consulting practice. Milliman IntelliScript serves life and health carriers with data driven risk assessment: Irix medical and prescription histories, the Curv suite of predictive models for identifying unknown risk in groups, and underwriting insight drawn from pharmacy and medical claims records. Milliman Nodal applies machine learning and natural language processing to structured and unstructured claim data, including adjuster notes, medical notes and police reports, to triage property and casualty claims, predict litigation likelihood, flag excessive medical cost and benchmark spend across workers compensation, auto liability and general liability. Nodal is delivered as a fully managed service with models tailored to each client's own claim and text data on top of a shared reference database, and companies deploying it report average cost savings between five and fifteen percent. Other products include AccuRate Fleet, a usage based score for pricing fleet exposure and driving behavior, Datalytics Defense for detecting patterns in attorney billing, an explainable platform for detecting and quantifying fraud, waste and abuse, Market Baskets for property and flood pricing, and the actuarial platforms Arius, Integrate and the Economic Scenario Generator. IntelliScript operates as a consumer reporting agency under the United States Fair Credit Reporting Act (FCRA) and appears on the Consumer Financial Protection Bureau list of consumer reporting companies, so an individual can obtain their own report free of charge and dispute its contents directly. Nodal was named the 2025 InsuranceERM Americas award winner in its category, chosen by an independent panel of industry experts.

Swallow is a London based insurance pricing platform that separates pricing models from application code. The workbench covers data import and versioning, a visual model builder needing no code, automated scenario and impact testing, governance with approvals and audit trails, and instant publishing of any model as a live rating interface, an embeddable quote form, a chatbot or a voice agent. Herbie, the AI actuary inside the platform, turns a prompt into a tested and deployable pricing model, generates test suites, writes compliance reports and version summaries, and answers product questions. A second line at serff.ai indexes United States rate filings at scale, extracts the rating logic inside them, and turns an approved filing into a working rater carrying base rates, factor tables, class plan, territory definitions, discounts, surcharges and minimum premium rules, then generates the filing artifact set for a credentialed actuary to certify. Market Pricing Analytics runs any risk through other carriers' reconstructed rating plans, built from filed rates rather than sampled quotes. The platform is state aware for United States filings, distinguishing file and use from prior approval states and handling premium taxes, minimum premium rules, residual market assessments and state specific rating restrictions. Named customers include Open, Rivr, MGT Insurance, Ouch and ISC, with the largest serving more than three million quotes a month and the largest by revenue above $1 billion a year. Founded in 2022 by Callum Rimmer, co founder of the usage based motor insurer By Miles, with Sam Clifton and Josh Overton, on pre seed funding co led by Connect Ventures and Jigsaw VC. Named in the InsurTech100 for 2024. Pricing starts at 2,500 pounds a month and scales on quote volume and gross written premium, with a discounted plan for insurers under 10 million pounds of premium.

Verisk is a publicly traded data analytics and technology provider to the global insurance industry, listed on Nasdaq and a constituent of both the S and P 500 and the Nasdaq 100. Through the Insurance Services Office, formed in 1971 and a wholly owned subsidiary since October 2009, it operates as a licensed advisory organization and statistical agent: it collects industry wide policy and claims data, projects future claim costs, and submits standardized forms and loss costs to state regulators on behalf of insurers. Those filings form the starting point from which most United States property and casualty carriers build their own rate filings. Its published data scale is 34.5 billion statistical records, comprising 8.2 billion commercial lines and 21.5 billion personal lines records, and its coverage language is maintained against roughly 10,000 legislative bills, 8,000 regulatory actions and 2,000 court decisions each year. The business reports in two groupings. Underwriting covers forms, rules and loss cost services plus extreme event and catastrophe solutions used in reinsurance and insurance linked securities. Claims covers anti fraud and casualty solutions alongside the Xactimate estimating ecosystem. AI is embedded into products carriers already run rather than sold as a separate line. Generative capability is live in the premium audit research tool, the form composition tool, the estimating platform and the claims document tool, with a claimed reduction of up to 98 percent in research time on premium audit documents. XactAI spans claim summaries, photo labeling and description generation, document data extraction, plain language estimate construction, inventory pricing and estimating recommendations, and integrates across the Xactimate, XactAnalysis, XactContents, XactXpert and ClaimXperience products. Licensee numbers rose nearly tenfold between March 2026 and mid 2026 to approximately 7,000. Digital Media Forensics detects image manipulation and deepfakes in claims. Seven Core Lines Reimagine modules shipped in the second quarter of 2026 against a stated target of 25 for the year. In May 2026 the company launched two Model Context Protocol connectors built with Anthropic for underwriting and claims, bringing its datasets into Claude workflows with retrieved data stated to remain inside the client session and outside model training, alongside a Claude Enterprise integration giving natural language access to loss cost trends and estimating intelligence. Governance is published rather than asserted. A Commitment to Ethical and Responsible AI disclosure sets out ethical principles, an AI governance structure, standards and review processes, and the claims document product's governance has been aligned to the state commissioners association model bulletin and the NIST AI Risk Management Framework through an independent governance vendor's control library. Second quarter 2026 revenue was $806.3 million, up 4.3 percent, with subscriptions at 83 percent of revenue and full year guidance of $3.19 to $3.24 billion. Headquartered in Jersey City, New Jersey, with teams across more than 20 countries.

WTW, the global broking and advisory group, licenses named software products to insurers through its Insurance Consulting and Technology division, rather than only selling consulting. This profile covers that division. It has more than 1,700 colleagues across 35 markets and states that over 1,000 client companies use its insurance software on six continents, including most of the world's leading insurance groups, backed by roughly 30 years of investment in analytics. The pricing suite is the historical incumbent in actuarial pricing software. Radar Base is the modeling and reporting environment, Radar Dashboard distributes pricing management information, Radar Optimizer performs price optimization, and Radar Live delivers rates into production as a full rating engine replacement scalable to billions of quotes a day. Emblem, licensed alongside Radar Base, fits generalized linear models and a range of machine learning and predictive models to large and complex datasets, and Classifier categorizes and assesses risk by geography. Radar 4 added gradient boosting machines and classification models built directly inside the decision support environment without programming. Radar 5, launched October 2025 under senior director Chris Halliday and global insurance technology leader Duncan Anderson, added generative capability applied to unstructured data in claims and underwriting, augmented underwriting technology, and enhanced hosted delivery, and was described by the company as the first of many planned releases across its insurance software. The environment supports joint deployment of customer written Python models alongside its own, with stated governance requirements for deploying open source code and retention of historic models for policy adjustments and regulatory purposes. Named users include Manitoba Public Insurance, which adopted Radar and Emblem for generalized linear model ratemaking.