Earnix provides an AI‑driven decisioning platform that automates and unifies predictive, generative, and agentic models across underwriting, pricing, rating, and personalization workflows for insurers and banks. The cloud‑native solution delivers real‑time analytics, explainable decisions, and integrated governance to accelerate time‑to‑market, ensure regulatory compliance, and enable personalized, data‑driven pricing at scale.
Funding
$75M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
JVFounders
Product
Problem
Insurance and banking firms often rely on legacy underwriting and pricing systems that are slow to update, require extensive manual effort, and struggle to meet modern regulatory, data quality, and personalization demands.
Solution
Earnix offers an AI‑driven decisioning platform that unifies predictive, generative, and agentic models across the entire underwriting, pricing, rating, and personalization workflow. The platform delivers faster time‑to‑market by automating model development, scenario analysis, and rate deployment while maintaining explainability and regulatory compliance. Integrated cloud architecture provides real‑time analytics, continuous optimization, and embedded governance, enabling firms to respond quickly to market changes and deliver personalized customer experiences. Earnix also supplies pre‑built connectors for major policy administration systems and a disaster‑recovery framework to ensure high availability and operational resilience.
Target Audience
Earnix serves commercial insurers, life insurers, MGAs, brokers, and banking institutions (including consumer and auto lenders) that need agile, data‑driven pricing and underwriting capabilities.
Features
- Predictive, generative and agentic AI models for pricing, rating, underwriting and customer personalization
- End‑to‑end workflow automation from model creation to rate deployment with explainable outputs
- Real‑time scenario testing and continuous optimization through the Pricing Accelerator suite
- Pre‑built integrations with Guidewire PolicyCenter, Sapiens IDIT Suite and other core policy systems
- Cloud‑native, multi‑AZ AWS deployment with optional cross‑region failover for high availability and disaster recovery
- Embedded governance tools that track data drift, KPI impact, and regulatory compliance
- API‑first design enabling seamless embedding of AI insights into existing banking and insurance platforms