Extend

Extend is an AI native document processing platform that rebuilds document intelligence from the ground up on large language models rather than legacy optical character recognition. Founded in 2023 by chief executive Kushal Byatnal and chief technology officer Eli Badgio, both of whom built data quality and validation pipelines at Flatiron Health, the company set out to turn messy, unstructured documents into structured, production ready data that technical teams can trust. It raised seventeen million dollars in seed and Series A funding led by Innovation Endeavors, with Y Combinator among its backers, and reached profitability early.

The platform handles the documents that break older tools: complex tables, merged cells, signatures, handwriting, images, and degraded scans. At its core is an agentic approach that uses vision language models to review and correct low confidence extractions, combined with an ensemble of frontier models and proprietary context engineering. Extend reports accuracy in the mid to high ninety percent range across use cases, and it covers the full lifecycle from parsing and classification through extraction, splitting, validation, and conversion to clean markdown for downstream language model use.

Two capabilities set Extend apart from raw extraction. Its Composer optimization agent lets a team upload a few sample documents and then automatically generates and refines the extraction schema, running optimization loops in the background so accuracy improves over time without manual prompt tuning. Alongside it, a built in evaluation framework produces accuracy reports at both the field and document level, catches regressions, and supports schema versioning with draft, publish, and pin controls, so domain experts can iterate and ship with confidence from one interface rather than brittle scripts.

Extend is built for developers first, with modern application programming interfaces and end to end orchestration that lets teams compose multi step workflows to parse, split, extract, validate, and route documents, with versioning and durability built in. Teams can toggle between processing modes tuned for low latency, bulk cost efficiency, or maximum accuracy. Customers including Brex, Square, Checkr, and Flatiron Health rely on Extend to process millions of documents where a single error is costly, across finance, healthcare, and logistics.