Earnix AIOS
by Earnix · Lending and origination · Ramat Gan, Israel
AI orchestration system purpose-built for insurance decisioning, pricing, underwriting and engagement.
What Earnix AIOS does
- Real-time AI orchestration across pricing, underwriting and engagement
- Enterprise rating engine that deploys rates in milliseconds
- Dynamic pricing backed by data science and ML capabilities
- Product personalization and bundling
- Analytical modeling and predictive capabilities
- Built-in compliance and audit trails
- Role-based workflows for business managers
- Integration with existing tech stacks
What Earnix AIOS is used for
- Quote generation 12x faster than legacy solutions
- New product launches in fraction of time
- Rate creation and updates
- Smarter risk selection and underwriting
- Customer engagement and conversion improvement
Who Earnix AIOS is for
- Insurers
- Banks
- Lenders
About Earnix
AI orchestration platform for insurance pricing, underwriting, rating and customer engagement.
Earnix in the vendor registry: its products, features and similar vendors.
Also by Earnix
- Enterprise Rating Engine: Core component that processes rates in milliseconds for insurance and lending products.
- Dynamic Pricing: AI-driven pricing optimization for determining optimal rates based on risk, volume and profitability targets.
- Earnix for Insurance: SaaS solution for insurance carriers to price, rate, underwrite and engage customers more effectively.
- Earnix for Banking and Lending: Digital decisioning solution for lenders to optimize loan pricing and manage portfolio risk.
- Earnix Copilot: AI-powered digital agent that provides recommendations and generates code for process automation.
- Engage-It: Customer engagement solution that connects decisioning to real-time customer interactions.
More in this category: Loan origination and lending software.
Weighing up Earnix AIOS? Create a free procurement account to run the question as a procurement: Earnix and the alternatives answer your requirements side by side, on the same terms.
Built by Vederca from public sources, last updated 2026-10-18.