Unsiloed AI

About Unsiloed AI

Unsiloed AI is a document-parsing API that turns PDFs, scans, images, and spreadsheets into JSON and Markdown that LLMs and agents can actually reason over. The pitch starts from a specific complaint about the alternatives: generic OCR and hand-rolled pipelines are static, so they break the moment a layout changes, and the company cites that most in-house document pipelines never make it out of pilot. Unsiloed's answer is a dual-stream vision model that reads a page the way a person does — text, tables, figures, and hierarchy in a single pass — rather than running OCR and then trying to reconstruct structure from the wreckage. Three capabilities sit on one API and can be used standalone or chained. Parse converts a document into LLM-ready Markdown while preserving the structure OCR normally flattens. Extract pulls named fields into JSON against a schema you define, with enough domain awareness to know that a freight charge is not a line item, and returns per-field confidence. Split breaks a multi-document file into its constituent documents and chops long ones into retrievable chunks, using parent-child indexing so a clause keeps its surrounding context when it lands in a vector store. The same endpoints serve a prototype and a production pipeline, and the team claims a first-place finish on olmOCR-Bench. There is a browser playground for trying it without writing code.

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