Earnix

What it does

Earnix is an AI-native insurance rating, pricing, and product personalization platform used by P&C and life insurers to modernize their actuarial pricing processes and deploy dynamic, personalized insurance products. Its AI capabilities include ML-powered insurance pricing models that incorporate thousands of rating factors for more accurate risk-based pricing, real-time rate calculation APIs that deliver personalized premiums at quote speed, AI-driven product rules management that enables insurers to configure and test product variations without IT development cycles, and pricing analytics that continuously monitor the financial performance of pricing decisions and recommend adjustments. Earnix enables insurers to move from static annual rate filings to continuously optimized, personalized pricing that improves competitiveness and profitability simultaneously.

Strengths

• P&C and life insurance carriers use Earnix for AI-powered pricing transformation - ML risk models replacing legacy actuarial ratemaking and real-time personalization improving quote competitiveness without sacrificing underwriting discipline.
• Earnix is an AI-native insurance rating, pricing, and product personalization platform used by P&C and life insurers to modernize their actuarial pricing processes and deploy dynamic, personalized insurance products.
• Its AI capabilities include ML-powered insurance pricing models that incorporate thousands of rating factors for more accurate risk-based pricing, real-time rate calculation APIs that deliver personalized premiums at quote speed, AI-driven product rules management that enables insurers to configure and test product variations without IT development cycles, and pricing analytics that continuously monitor the financial performance of pricing decisions and recommend adjustments.

Watch-outs

• Enterprise insurance carrier focus only: Earnix is designed for insurance pricing and rating — non-insurance financial services and other industries have no applicable use case.
• Regulatory approval required for rate changes: Insurance pricing is heavily regulated — AI-powered rate optimization must work within state regulatory approval processes that can slow the speed of pricing changes, reducing some of the agility the platform enables.
• Actuarial expertise required to maximize value: Earnix enables more sophisticated pricing models but getting the most from ML pricing requires experienced actuaries and data scientists who understand both the insurance domain and the AI modeling capabilities.

Pricing

Earnix enterprise contracts not published. Large carrier deployments run multi-million annually. Annual contracts with professional services for implementation.