About
Zelros is an AI-powered decisioning platform tailored for the insurance and banking industries, enabling organizations to make faster, smarter, and more explainable decisions across the full pricing, underwriting, rating, and personalization cycle. Now operating under the Earnix umbrella, the platform integrates predictive, generative, and agentic AI to help insurers and lenders stay competitive in rapidly evolving markets. Key capabilities include a real-time AI-driven rating engine, dynamic pricing tools, analytical underwriting workflows, and sophisticated product personalization engines. The platform is designed for regulated environments, offering built-in governance, robust explainability, and enterprise-grade AI modeling to ensure decisions are accurate, consistent, and audit-ready. Organizations using Zelros/Earnix can deploy new pricing or underwriting rules in minutes rather than weeks, significantly accelerating time to market. The platform streamlines filing processes, reduces errors and fines, and integrates smoothly with existing enterprise architectures. It is trusted by 100+ global insurers, brokers, MGAs, banks, and lenders, helping them generate billions in premiums and loans annually. Zelros is ideal for pricing actuaries, underwriting teams, data scientists, and product leaders in financial services who need to operationalize AI with speed, precision, and regulatory compliance.
Key Features
- Dynamic AI Pricing Engine: Real-time, AI-driven rating and pricing engine that allows insurers and banks to update pricing rules in minutes and respond to market changes with agility.
- Analytical Underwriting: Integrates predictive and generative AI models into underwriting workflows, enabling more accurate risk assessment and consistent decision-making at scale.
- Product Personalization: Delivers tailored product recommendations and customer engagement strategies based on real-time data and AI-driven insights across the policy lifecycle.
- Built-in Governance & Explainability: Enterprise-grade AI modeling with robust explainability and compliance controls, designed for regulated insurance and banking environments.
- Rapid Model Deployment: Unified platform enabling fast deployment of new models and workflows, dramatically reducing time to market for new products and pricing strategies.
Use Cases
- An insurance carrier uses Zelros to dynamically adjust auto insurance pricing in real time based on market data, loss ratios, and competitor signals—reducing time-to-market from weeks to minutes.
- A bank leverages the platform's analytical underwriting tools to automate loan risk assessment, improving accuracy and consistency while reducing manual underwriter workload.
- An MGA deploys the product personalization engine to recommend the most relevant coverage options to customers at the point of sale, increasing conversion and customer satisfaction.
- A global insurer uses the built-in governance and explainability features to ensure all AI-driven underwriting decisions meet regulatory requirements across multiple jurisdictions.
- A financial services group integrates Zelros/Earnix with its existing core systems to streamline the rate filing process, cutting filing errors and associated fines significantly.
Pros
- Speed to Market: Pricing and underwriting rule changes can be deployed in under minutes, giving insurers a significant competitive advantage over legacy systems.
- Regulatory Compliance Built-In: The platform is specifically designed for regulated environments, with explainable AI decisions and governance features that reduce filing errors and fines.
- Seamless Integration: Praised by enterprise customers for relatively quick and easy integration with existing IT architectures, reducing implementation risk.
- Proven at Scale: Trusted by 100+ global insurers, brokers, MGAs, banks, and lenders, processing billions of quotes and premiums annually.
Cons
- Enterprise-Focused Pricing: The platform is built for large insurers and banks, making it potentially cost-prohibitive or over-featured for smaller organizations or startups.
- Implementation Complexity: Despite integration improvements, onboarding an enterprise AI decisioning platform still requires significant IT involvement and change management.
- Limited Transparency on Standalone Zelros Features: Following the Earnix acquisition, it may be unclear which features originated with Zelros versus Earnix, complicating vendor evaluation.
Frequently Asked Questions
What is Zelros and how does it relate to Earnix?
Zelros is an AI decisioning platform for the insurance industry that has merged with or been acquired by Earnix. The combined platform now operates under the Earnix brand, offering expanded capabilities across pricing, underwriting, personalization, and customer engagement.
Who is Zelros designed for?
Zelros/Earnix is designed for insurance carriers, brokers, MGAs, banks, and lenders—particularly pricing actuaries, underwriting teams, data scientists, and product leaders who need to operationalize AI within regulated environments.
How quickly can pricing rules be updated on the platform?
The platform enables pricing or underwriting rule changes to go live in under a few minutes, compared to weeks or months with traditional legacy systems.
Does the platform support regulatory compliance and explainability?
Yes. The platform includes built-in governance, explainable AI modeling, and audit-ready decision trails to help organizations meet regulatory requirements and minimize filing errors.
What types of AI does Zelros/Earnix use?
The platform integrates predictive AI (for risk modeling and pricing), generative AI (for content and recommendations), and agentic AI (for automated decisioning workflows), covering the full insurance and banking decisioning cycle.
