Focus 01 — Document Intelligence at Scale

Can you build the pipeline that turns COIs, dec pages, endorsements, loss runs, SOVs, and medical records into governed data my underwriters and adjusters can actually trust?


Why this matters

More than 80% of the information that drives underwriting, claims, and servicing lives in COIs, dec pages, endorsements, loss runs, SOVs, and medical records. Owning this means deploying extraction pipelines with ACORD-aligned schemas, full lineage from raw page to decision, and E&O-grade accuracy thresholds. The work is measurable on cycle time, straight-through processing rate, and re-keying labor eliminated.

What I’ve shipped

What’s coming next

Quarter Deliverable
Q2 2026 COI scanner public beta + accuracy scorecard v1
Q3 2026 Loss runs as a new document type · Open benchmark suite on GitHub
Q3 2026 MCP server for COI parsing — submitted to Anthropic directory
Q4 2026 SOVs as a new document type · Medical-record extraction pilot

Market signal I track

Hyperscience · Indico Data · Roots Automation · Send · Convr · Cytora · Federato · Ushur · Sixfold · ACORD Forms Working Group · IVANS releases · NAIC SERFF · Applied Epic, Vertafore AMS360/Sagitta, EZLynx, HawkSoft document capabilities · Verisk and CCC Intelligent Solutions earnings on document AI.

Success metrics


For more details see LinkedIn GitHub