The Claims Reasoning Engine
Evidence-Based AI for Accurate, Proactive Claims
The Claims Reasoning Engine is Carpe Data's foundational AI decision spine, turning raw claim inputs and public online signals into clear, source-backed, workflow-ready findings that hold up in court instead of more predictions teams cannot defend.
The Five Pillars of the Claims Reasoning Engine
The Claims Reasoning Engine scales continuous claims assessment and decision support across workflows so your team can act with speed and accuracy.
Evidence-Based
Rigorous ID validation and online investigation practices, all saved in a secure chain of custody.
Explainable
Every alert includes a clear reasoning path and confidence so teams can review the "why" in seconds.
Scalable
Built to evaluate across high claim volumes so carriers gain broader oversight without adding expense or relying on sampled review.
Streamlined
Delivers outputs where teams already work, through APIs and integrated workbenches like Verisk ClaimSearch.
Compliant
Auditable reasoning creates a durable record of how outcomes were generated, supporting regulatory, legal, and internal standards.
How It Works
How the Claims Reasoning Engine Works
Scroll to advance the pipeline through its eight stages, from carrier intake through analyst-reviewed delivery. Each stage's sub-steps reveal as you scroll, no clicks required.
Data Input
Carrier System
CRE starts with the claim data you already capture in your core claims platform. This keeps the process grounded in the facts, timing, and context of the loss.
Put the Claims Reasoning Engine to Work
Every Carpe Data claims product is built on the Claims Reasoning Engine, which is what powers Online Injury Alerts, Investigative Reports, Carpe Vision, and the rest of the claims portfolio with the same evidence-based, explainable, and auditable foundation.