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๐Ÿ“„ Bundle

Document AI Verticals
Pre-built field schemas for insurance, healthcare and finance documents.

18 industry document types across 3 packs โ€” ACORD forms, CMS-1500 claims, W-2s, bank statements, IRS filings and more. One /v1/document/extract call returns typed JSON. No custom model training, no per-type setup.

Document AI Verticals โ€” three stacks of insurance, healthcare and finance documents being scanned, with extracted structured fields floating above each stack

Three industry packs

4 doc types

Insurance

ACORD forms, claims, policy declarations and loss runs โ€” the documents underwriting and claims teams process every day.

  • ACORD forms (25 / 125)
  • Insurance claim forms
  • Policy declaration pages
  • Loss run reports
6 doc types

Healthcare

Claims, benefits and clinical documents โ€” with the codes (ICD, CPT, NPI) extracted as typed, structured fields.

  • CMS-1500 claim forms
  • Explanation of Benefits (EOB)
  • Superbills
  • Prior authorization forms
  • Lab reports
  • Health insurance cards
8 doc types

Finance & Tax

Tax forms, statements and filings โ€” every figure pulled into typed JSON, ready for reconciliation and audit.

  • W-2 wage statements
  • Pay stubs
  • Bank statements
  • IRS Form 1040
  • Schedule C
  • Schedule K-1
  • Balance sheets
  • Mortgage statements

How it works

Each pack is just a set of curated doc_type values on the existing Document Intelligence endpoint. Send a document image, pick the type, get back typed JSON with every field already named โ€” no template drawing, no model training round-trip.

POST /v1/document/extract
{
  "image": "<base64>",
  "doc_type": "cms1500"
}

โ†’ { "doc_type": "cms1500",
    "fields": {
      "patient_name": "...",
      "diagnosis_codes": ["..."],
      "service_lines": [ ... ],
      "total_charge": 1240.00
    },
    "extraction_engine": "Brainiall Document Intelligence engine" }

How we compare

ProviderEquivalent surface
AWSTextract handles generic forms, tables and queries โ€” but insurance / health / tax field schemas must be hand-written as Textract Queries, one field at a time.
AzureDocument Intelligence ships ~15 prebuilt models; anything else needs a custom model trained per type (~$50 / 1,000 pages).
Brainiall18 vertical schemas pre-built, one extract call, zero training. Shares your existing Document Intelligence usage.

Pricing

Document AI Verticals doc types share your existing Brainiall Document Intelligence usage โ€” no separate bundle subscription. Vertical extraction runs about $0.025 / page; the Free tier covers your first documents each month.

Document AI Verticals โ€” Brainiall | Brainiall