About ContextBoard
Document-to-context infrastructure for AI applications.
Every AI application that reasons about real-world documents runs into the same problem: turning a PDF, a spreadsheet, or a scanned form into something a model can actually use, without losing the ability to trace an answer back to its source. ContextBoard exists to solve that problem once, properly, instead of every team rebuilding a brittle version of it.
What we believe
- Structure should be extracted once and reused, not re-parsed by every downstream consumer.
- Every extracted value should carry a citation back to its exact source text -- no silent guesses.
- Human review and model output should coexist in the audit trail, not overwrite each other.
- The same capability should be usable from a UI, a REST API, or an agent over MCP.
Get in touch
See careers if you want to work on this, or contact sales if you want to use it.