Standard benchmarks weren't built for insurance extraction. We share the evaluation framework before the results — so you can judge the methodology, not just the outcome.
Five evaluation groups for insurance document intelligence. The first four map to standard dimensions. Group 5 — audit and compliance — is where the field narrows.
Read the framework →Which tool should we use? Wrong question. The right question is which tier the field requires. Tier determines tool, infrastructure, and sovereignty posture.
Read the framework →Three architectures on a 7-page NY WC FNOL with a dual-employer layout trap. The approach marketed for its audit trail hallucinated the claimant's name and date of injury. Zero-LLM extracted 19/19 deterministic fields.
Read the case study →Head-to-head on Cat 1 fields — VIN, DL#, DOB, policy number — across 200 FNOL and police report documents.
Coming soonDPI degradation curve at 300/200/150/75 DPI across 50 scanned insurance documents.
Coming soonWe work with insurers and MGAs who are serious about the architecture — not just the demo. Conversations start with the problem, not the product.