
Akur8
Transparent AI pricing and reserving for insurers
About
Akur8 is an actuarial AI platform that helps property-and-casualty insurers build pricing models and reserve projections faster, blending machine learning with transparent, auditable modeling in the GLM tradition. It reports 300+ insurer customers across 40+ countries with 3,000+ actuaries using it daily (company claims), and expanded into life and annuity insurance after acquiring Slope Software. It's also listed on AWS Marketplace. This is enterprise insurance software: it needs an actuarial team and clean policy data, and there's no self-serve pricing.
What it can do
- AI insurance pricing models
- Reserving projections
- Transparent, auditable machine learning
- Model deployment to rating engines
- Life and annuity modeling (via Slope)
- AWS Marketplace availability
Setup
- Contact Akur8 for an enterprise evaluation
- Load historical policy, claims, and exposure data
- Build pricing models with actuarial oversight and validation
- Deploy approved models to rating engines via API or exported tables
Prerequisites
Insurance carrier; actuarial team; historical policy and claims data; enterprise contract
Use cases
Works with
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: 300+ insurer customers across 40+ countries per company reporting; Active product development; Slope Software acquisition expanded scope; Proprietary platform; no public code or self-serve API. License: Proprietary commercial product; enterprise contract required..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 4.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · 300+ insurer customers across 40+ countries per company reporting
- · Active product development; Slope Software acquisition expanded scope
- · Proprietary platform; no public code or self-serve API
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.