of enterprise data is unstructured. It lives in documents, spreadsheets, scans, calls, and systems your LLM cannot reliably read.
[ DOCUMENT INTELLIGENCE ]
The context layer for enterprise AI.
We turn the documents, spreadsheets, scans, and systems your company already relies on into structured data your LLMs and AI agents can reason over.
[ PROBLEM STATEMENT ]
AI is only as useful as the context beneath it.
is often spent stitching together OCR, parsers, schemas, and exception handling before an AI workflow reaches production.
of internal document pipelines make it to dependable production use without breaking when a format or layout changes.
Generic OCR and one-off pipelines are too brittle for operational AI. We build the document layer that turns source material into dependable context, with the structure, provenance, and review paths production systems need.
Discuss your data[ HOW IT WORKS ]
From raw data to LLM-ready context.
- Connect any source.
- Parse, extract, or split.
- Ship reliable AI workflows.
S3, SharePoint, Drive, Snowflake, your DMS. We work where your data already lives.
[ CORE CAPABILITIES ]
Three capabilities. One context layer.
Use them separately or chain them into a production pipeline. Every output stays grounded in the source material your AI depends on.
[ 01 ]
Parse
Convert PDFs, scans, images, spreadsheets, and mixed files into structured Markdown that preserves tables, figures, hierarchy, and source context.
[ 02 ]
Extract
Pull the fields your workflow needs into validated JSON. One schema works across layouts, templates, and real-world document variation.
[ 03 ]
Split
Separate multi-document files into retrievable units while retaining the parent context that makes each clause, table, or record meaningful.
[ READY FOR AI THAT UNDERSTANDS YOUR BUSINESS ]
Start with the context your company already has.
We will map your unstructured data, define the right outputs, and build the foundation your AI systems need to work reliably.
Book a demo