Akur8
Akur8 helps insurers build accurate pricing models 5x faster with transparent AI.
Akur8 is an AI-powered SaaS platform that automates insurance pricing and reserving using machine learning while maintaining regulatory transparency. The platform enables actuaries to build predictive pricing models 5x faster than traditional methods by combining gradient-boosted machine learning accuracy with GLM-comparable explainability. Serving 300+ insurers including AXA, Generali, and Munich Re across 40+ countries, Akur8 solves the critical problem of reconciling advanced AI sophistication with insurance regulatory compliance requirements.
Problem solved
Insurance actuaries spend months building pricing models using outdated GLM methods, and deploying advanced ML models is blocked by regulatory transparency requirements.
Target customer
Mid-market to enterprise property & casualty, health, and life insurance companies with dedicated actuarial teams requiring regulatory-compliant pricing automation.
Founders
S
Samuel Falmagne
CEO & Co-Founder
15 years at IBM in international sales and management, then Head of Sales at Shift (AI fraud detection insurtech) before founding Akur8.
G
Guillaume Beraud-Sudreau
Co-Founder, Head of Product & Data Science
Data science and product leader with actuarial and machine learning expertise.
J
Jean Marc Leoni
Co-Founder, Former CTO
Technical co-founder with architecture and engineering leadership background.
Funding history
Seed
Unknown
2018
Led by Kamet
· Unknown
Series A
Unknown
March 2020
Led by BlackFin Capital Partners
· MTech Capital
Series B
$30M
June 2021
Led by BlackFin Capital Partners
· MTech Capital
Series C-1
$25M
2023
Led by BlackFin Capital Partners
· FinTLV Ventures, Guidewire
Series C
$120M
September 2024
Led by One Peak
· Partners Group, Guidewire Software
Total raised:
$180M
Industries
Pricing
Not publicly available. Uses SaaS delivery model with likely per-seat or enterprise pricing.
Notable customers
AXA, Generali, Munich Re, MAPFRE, HDI, Tokio Marine, MS&AD, Branch
Integrations
Guidewire (investor/partner), DocuSign, Google Workspace, MailChimp
Tech stack
jQuery (JavaScript libraries)
DocuSign
HSTS (Security)
Google Font API (Font scripts)
Apple iCloud Mail (Webmail)
Google Workspace (Email)
Google Hosted Libraries (CDN)
MailChimp (Marketing automation)
Google Tag Manager (Tag managers)
Cookie Script (Cookie compliance)
Weglot (Translation)
Segment (Customer data platform)
Website
Competitors
Earnix
Broader pricing optimization platform but less emphasis on regulatory transparency and GLM explainability.
Planck
Insurance pricing solution with different technical architecture and less proven ML-transparency balance.
MotionsCloud
Insurance operations platform with wider scope but narrower focus on pricing model development speed.
Insuresoft
Insurance software suite covering broader operations, not specialized in transparent ML pricing.
Orus
Insurance pricing platform with different feature set and customer focus.
Why this matters: Akur8 has rapidly become a category leader by solving a critical constraint in insurance—how to deploy sophisticated AI while satisfying regulator demands for transparency. The $180M Series C (September 2024) led by One Peak and backed by strategic investor Guidewire validates the massive market opportunity in automating actuarial workflows globally.
Best for: Insurance carriers that need to accelerate pricing model development from months to weeks while maintaining regulatory audit trails and actuarial control.
Use cases
Accelerating P&C Pricing Model Development
A mid-market insurer uses Akur8 to replace manual GLM modeling, reducing pricing model build time from 12 weeks to 2 weeks while maintaining full regulatory transparency. Actuaries retain control over variable selection and model logic through Akur8's explainable AI interface.
Regulatory Compliance with Advanced ML
A large European insurer deploys gradient-boosted models through Akur8 that are 15-20% more accurate than traditional GLMs while generating regulatory-compliant documentation and audit trails. The platform bridges the gap between data science sophistication and insurance regulator requirements.
Multi-Line Pricing Standardization
An enterprise insurer uses Akur8 across P&C, health, and life lines to standardize pricing workflows globally. The platform's transparency allows local actuaries to explain model decisions to regional regulators without centralizing all authority.
Alternatives
Earnix
Broader pricing optimization and revenue management platform, but less specialized in regulatory transparency for ML models.
SAS Viya (Insurance)
Established enterprise analytics platform with insurance modules, but requires more technical configuration and lacks Akur8's insurance-specific UX.
H2O AutoML
Open-source ML automation framework, requires significant technical implementation and doesn't include insurance-specific features or regulatory compliance tools.
FAQ
What does Akur8 do? +
Akur8 is an AI-powered platform that automates insurance pricing and reserving model development. It uses machine learning to build accurate predictive models 5x faster than traditional methods while maintaining regulatory transparency through explainable AI comparable to GLMs. The platform serves 300+ insurance companies globally across P&C, health, and life lines.
How much does Akur8 cost? +
Pricing is not publicly available. Akur8 uses a SaaS model likely based on per-seat or enterprise licensing. Contact their sales team at akur8.com for custom pricing.
What are alternatives to Akur8? +
Earnix offers broader pricing and revenue management; SAS Viya provides established enterprise analytics with insurance modules; Planck and MotionsCloud are other insurance pricing platforms. Akur8's unique advantage is combining ML accuracy with regulatory transparency for insurance specifically.
Who uses Akur8? +
Mid-market to enterprise insurance carriers with dedicated actuarial teams. Notable customers include AXA, Generali, Munich Re, MAPFRE, HDI, Tokio Marine, and MS&AD. Over 3,000 actuaries use Akur8 daily across 40+ countries.
How does Akur8 compare to traditional GLM-based pricing? +
Akur8 delivers 15-20% better model accuracy than traditional GLMs while maintaining comparable transparency and regulatory auditability. It reduces model development from months to weeks. Traditional GLMs are slower and less accurate, but Akur8's explainable AI preserves the regulatory compliance advantages actuaries need.
What makes Akur8 different from other ML pricing platforms? +
Akur8's core differentiation is solving the 'regulator-friendly ML' problem—delivering gradient-boosted machine learning accuracy with GLM-comparable explainability. Most competitors force a choice between accuracy and transparency; Akur8 provides both, specifically designed for insurance regulatory requirements.
Tags
insurance pricing
actuarial automation
machine learning
explainable AI
regulatory compliance
insurtech
SaaS