Akur8 vs Earnix (2026)
Two insurance pricing platforms that are close on the model itself and far apart on what surrounds it. In both, AI is one layer of a broader platform, both serve a wide span of institutions with named customer results, and both keep a human gate between a model and a live rate. The difference is regulatory. Akur8 lives inside the rate filing regime: every model it produces is signed by a certified actuary and filed with a regulator, and it treats constraint on pricing variables as a product feature. Earnix is broader, running pricing, rating, personalization and engagement for insurers and price optimization and credit decisioning for banks from one platform, and it publishes no fairness testing for price optimization, exactly the practice consumer fairness rules target hardest. Akur8 also publishes how it charges and names the scope of its SOC 2 Type II attestation; Earnix does neither.
- Your models go to a regulator as rate filings. Akur8's rate repository is built for regulatory submission, and every model is signed by a certified actuary under professional obligation and filed with a supervisor who can reject it.
- You want actuaries to read every coefficient. Transparent Machine Learning automates feature engineering, variable selection and geospatial smoothing while keeping each variable's contribution visible, and the vendor states models are built up to ten times faster than by hand.
- You want to know how you will be charged. Akur8 prices on the volume of premium modeled on the platform rather than per user, so putting more of the actuarial team on the tool costs nothing extra.
- Reserving is in scope. The reserving product came from Milliman as Arius and replaces spreadsheet reserve analysis, with Milliman retaining equity.
- You price across insurance and lending. Earnix runs dynamic pricing and rating for insurers and price optimization across loans, cards, auto finance and mortgages for banks, with Lending Plus adding automated credit decisions, from one platform.
- Speed to market is the constraint. Warta, among Poland's largest insurers, deploys prices within hours, and Domestic and General reports pricing 40 times more plans per month.
- You run Guidewire PolicyCenter. Co-operators externalized its pricing and rating into Earnix integrated with PolicyCenter, a named live deployment rather than a partner logo.
- You want pricing and personalization together. Earnix sells product personalization and real time next best action across service and distribution channels alongside the rating engine, extended by its acquisition of the generative AI specialist Zelros.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Akur8 and Earnix are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Akur8 | Earnix | |
|---|---|---|
| Primary category | Insurance AI | Insurance AI |
| Founded | 2018 | 2001 |
| Headquarters | Paris, France | Boston, United States |
| Website | www.akur8.com | earnix.com |
Side by Side
Select any grade to read the note behind it.
| Axis | A Akur8 |
E Earnix |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Akur8
-
Product / capability
Akur8 launched Akur8 Agents, starting with one agent for each module of its insurance pricing platform.
Source -
Integration / interoperability
Akur8 launched the Akur8 Deploy Rating Accelerator on the Guidewire Marketplace.
Source
Earnix
-
Product / capability
Earnix released its Q4 2026 pricing and rating enhancements, led by a new Online Testing Hub where analysts generate and run API requests in a staging environment to check pricing and underwriting rules before production.
Source -
Product / capability
Earnix launched Agent Hub, a curated catalog of more than 25 insurance specific AI agents and apps inside Earnix AIOS, its AI Orchestration System.
Source
The short version of each
Akur8
Akur8 is an actuarial platform for non life insurance pricing and reserving built on what it calls Transparent Machine Learning, automating feature engineering and risk model construction while keeping every variable contribution visible to the actuary, with a rate repository and deployment engine carrying approved rates into production. According to the AI FinTech Index, every model is signed by a certified actuary and filed with a regulator, and it serves roughly 330 customers in more than 40 countries including AXA, Generali, Munich Re, MAPFRE and Tokio Marine. It publishes a pricing basis on premium modeled rather than seats. It makes no residency commitment on its single named cloud, Amazon Web Services, and publishes no data processing terms.
Source: AI FinTech Index, 2026
Earnix
Earnix is a pricing, rating and decisioning platform founded in 2001 and run from Boston, serving more than 80 insurers, banks and lenders with dynamic pricing, an enterprise rating engine, personalization and engagement for insurers and price optimization and credit decisioning for lenders. According to the AI FinTech Index, named results include Domestic and General pricing 40 times more plans per month and Warta deploying prices within hours, and Co-operators runs a named Guidewire PolicyCenter deployment. It publishes no fairness testing on price optimization, the practice consumer fairness rules target most, and no statement on pooled data across competing carriers. No model is named after the Zelros acquisition, and no security certification is published.
Source: AI FinTech Index, 2026
Common questions
Is Akur8 or Earnix better for insurance pricing?
They are close on the model and apart on regulation. Every Akur8 model is signed by a certified actuary and filed with a regulator, and Akur8 treats constraint on pricing variables as a product feature. Earnix is broader, covering insurance and bank lending from one platform with personalization and engagement, and publishes no fairness testing. Both serve a wide span of institutions and name customer results. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 21, 2026. No vendor pays for placement.
Which pricing platform is easier to defend to a regulator?
Akur8, judging by what each publishes. Its outputs are built to be legible coefficient by coefficient, its rate repository is designed for regulatory submission, and it states that unexplainable outputs carry legal risk. Earnix sells model governance and a filing accelerator as product features but publishes nothing about testing its own models and claims no regulatory standing of its own. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 21, 2026. No vendor pays for placement.
Do Akur8 and Earnix test pricing for fairness?
Akur8 publishes work on constraining pricing variables and treats that constraint as a product feature, although explainability alone does not show whether outcomes fall unevenly across groups. Earnix publishes no fairness testing, protected characteristic handling or disparate impact analysis, its most consequential gap given that price optimization is the practice fairness rules target hardest. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 21, 2026. No vendor pays for placement.
How do Akur8 and Earnix charge?
Akur8 discloses its basis: pricing follows the volume of premium modeled on the platform, not the number of users. Earnix publishes no pricing, and its licensing is described only by third parties as an enterprise subscription scaling with modules, policy volume and deployment size. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 21, 2026. No vendor pays for placement.
Can either platform be used by banks as well as insurers?
Earnix can: it sells price optimization across unsecured loans, cards, auto finance and mortgages, with Lending Plus combining pricing analytics with automated credit decisions. Akur8 is built for non life insurance pricing and reserving, serving carriers, reinsurers, mutuals and managing general agents. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 21, 2026. No vendor pays for placement.
Where does each publish the most, and the least?
Akur8 publishes most on validation, its place in the rate filing regime, who it serves and customer results, and documents bias and fairness, pricing and security certifications in part. Earnix publishes most on who it serves and customer results, and says little about bias and fairness, how customer data is kept apart, pricing or security certifications. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 21, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Insurance AI page.
Earnix's most consequential gap is bias and fairness: no fairness testing, protected characteristic handling or disparate impact analysis is published, while price optimization and personalization are the practice consumer fairness regulation targets most directly, including the United Kingdom regulator's rules on general insurance pricing practices.
Nothing states whether one carrier's portfolio experience informs models a competing carrier runs on the same multi tenant platform, and no certification or trust page is published. Akur8's gaps are narrower: Amazon Web Services is named as its only cloud with no region selection or residency commitment, and no data protection agreement, subprocessor list or retention schedule is published for the policyholder level exposure and claims history it holds. Both say little about liability, and neither publishes an accuracy commitment on the models it helps build.