Directory of AI insurance pricing and actuarial platform vendors

The AI FinTech Index holds 7 of them, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record.

No vendor pays for inclusion, placement or rating. Counts generated 2026-08-24 across 490 indexed vendors. What moved is in the change log.

A rating model has to be explainable to a regulator before it is accurate to an actuary, so transparency of the fitted model is a filing requirement rather than a preference. Ask how the vendor evidences that a model does not proxy for a prohibited rating factor.

What is in this directory. Screened to pricing, rating and reserving. Underwriting decision support and catastrophe modelling are held separately.

Part of the wider Insurance AI category.

What the public record shows in this directory

The share of the 7 indexed vendors here whose public record answers each of the nine regulatory questions a financial institution diligence process works through, and where this directory ranks against the other 50 directories in the index on the same question, highest share first. A thin share means the public record is thin, not that a control is absent.

how the model works and how it is validated100%
7 of 7 vendors, 1 highest of 50 directories
regulatory status and licensure29%
2 of 7 vendors, 34 highest of 50 directories
data privacy posture under GLBA29%
2 of 7 vendors, 19 highest of 50 directories
security certification depth57%
4 of 7 vendors, 3 highest of 50 directories
AI governance and bias testing14%
1 of 7 vendors, 22 highest of 50 directories
how much the system decides on its own100%
7 of 7 vendors, 6 highest of 50 directories
liability and customer recourse14%
1 of 7 vendors, 21 highest of 50 directories
which models sit underneath14%
1 of 7 vendors, 44 highest of 50 directories
deployment model and data residency0%
0 of 7 vendors, 48 highest of 50 directories
In summary

The AI FinTech Index lists 7 AI insurance pricing and actuarial platform vendors, graded on 15 capability axes from public sources with no paid placement and no aggregate score. Across this directory the best documented part of the public record is how the model works and how it is validated at 100 percent, and the thinnest is deployment model and data residency at 0 percent, which is 48 highest of 50 directories in the index on that question. Across the whole index of 490 vendors, none documents all nine regulatory axes in public and the average documents 2.94.

Source: AI FinTech Index, August 2026

Vendors in this directory
7 indexed
Vendor Category AI Centrality Website
A
Akur8
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 modelling 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 analyse 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 modelling approach. Chief executive is Samuel Falmagne.
Insurance AI B akur8.com
E
Earnix
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 personalisation and customer engagement; for banks and lenders, price optimisation across unsecured loans, cards, auto finance and mortgages, with Lending Plus combining pricing analytics and simulation with automated credit risk decisioning. Predictive modelling 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.
Insurance AI B earnix.com
H
hyperexponential
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 dollars 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 prioritises 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.
Insurance AI C hyperexponential.com
L
Lumnion
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 modelling, 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 modelling layer is deliberately open rather than proprietary: actuaries can fit gradient boosted trees, random forests, decision trees and both generalised linear and generalised 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 centre. 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.
Insurance AI B lumnion.com
M
Milliman
Milliman is a global actuarial and consulting firm that also ships a portfolio of named, separately licensed analytics products to insurers, and is judged here on those products rather than on 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 behaviour, 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 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.
Insurance AI B milliman.com
S
Swallow
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 artefact 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 one billion dollars 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.
Insurance AI B swallow.app
W
WTW
Graded on the Insurance Consulting and Technology division of the global broking and advisory group WTW, which licenses named software products to insurers rather than only selling consulting. That division 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 modelling and reporting environment, Radar Dashboard distributes pricing management information, Radar Optimiser performs price optimisation, 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 generalised linear models and a range of machine learning and predictive models to large and complex datasets, and Classifier categorises 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 generalised linear model ratemaking.
Insurance AI B wtwco.com

Common questions

Is there a directory of AI insurance pricing and actuarial platform vendors?

Yes. The AI FinTech Index lists 7 AI insurance pricing and actuarial platform vendors, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record. No vendor pays for inclusion, placement or rating, no vendor is contacted before it is listed, and nothing sits behind a form. Counts generated 2026-08-24.

What counts as insurance pricing and actuarial in this directory?

Screened to pricing, rating and reserving. Underwriting decision support and catastrophe modelling are held separately. The index holds 7 vendors meeting that screen, drawn from a wider Insurance AI category and from adjacent categories where the vendor belongs on the same shortlist. A vendor filed under a different category can still appear here, because a buyer building this shortlist does not sort by our filing.

What should a buyer check before shortlisting insurance pricing and actuarial vendors?

Start with what this segment does not publish. Across the 7 indexed vendors, the thinnest parts of the public record are deployment model and data residency at 0 percent, which models sit underneath at 14 percent, and liability and customer recourse at 14 percent. A thin public record predicts the length of a diligence process rather than the absence of a control, so these are the questions to put in writing early. A rating model has to be explainable to a regulator before it is accurate to an actuary, so transparency of the fitted model is a filing requirement rather than a preference. Ask how the vendor evidences that a model does not proxy for a prohibited rating factor.

Head to Head

Comparisons inside this directory

1 published

Other directories in Insurance AI

One category is several buying decisions sharing a label. Each of these narrows the same market to a different one.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 489 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 5, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
© 2026 AI FinTech Index
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