Brainiall for Insurance
Turn ACORD forms, claims and loss runs into structured data — one API call, no model training.
The Document AI Verticals bundle ships pre-built field schemas for the documents insurance operations handle every day: ACORD 25/125 forms, claim forms, policy declaration pages and loss run reports. Send the document image, pick the type, get typed JSON back — policy numbers, coverage limits, claim amounts, loss dates.
What we hear from Insurance teams
Textract gives you generic forms and tables, but every ACORD field has to be hand-written as a separate Query. Weeks of prompt engineering before the first clean extraction.
Azure Document Intelligence needs a custom model trained per document type — collect samples, label, train, re-train every quarter, plus about $50 per 1,000 pages.
Claims and underwriting volume is seasonal and spiky. Paying enterprise IDP contracts for capacity you only use part of the year burns budget.
How Brainiall solves them
Pre-built ACORD, claim, policy and loss-run schemas
Four insurance document types with every field already named and typed. POST the image, pick the doc_type, get structured JSON. No Query authoring, no model training round-trip.
One call, typed JSON, audit-ready
Each extraction returns a clean object plus the recognised text and a per-call request ID. Wire it straight into a claims system or a reconciliation pipeline — every call is logged and auditable by default.
Usage-priced, one Bearer key
About $0.025 per page of vertical extraction, no minimums, no per-type setup fee. The same key also unlocks identity verification, fraud scoring and content safety — the rest of an insurance AI stack.
Built for insurance operations
- Claims intake — ACORD and claim-form extraction feeding a triage queue.
- Underwriting — policy declaration and loss-run digitisation for risk scoring.
- Broker automation — certificate-of-insurance (ACORD 25) parsing at scale.
Insurance ready to ship?
$10 free credits. No card required. Cancel any time — walk away with whatever you built.