Outcome

Document knowledge extraction

Extract structured, provenance-tracked knowledge from complex documents using AI and ontology-aligned identity.

Sketch-style isometric flow from left to right: a fanned stack of paginated source documents on the left, with one line accented in brick red, threads along curved pipes into a central tower-like extraction engine, which in turn distributes structured outputs into a graph of cubic and cylindrical knowledge nodes on the right, with one node ringed in brick red.

Applied domains

Where this has been applied

Financial services

Extract terms, obligations, and risk parameters from contracts, regulatory filings, and compliance documentation with full provenance.

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Engineering

Extract design parameters, equipment specifications, and operating conditions from engineering design documents, technical specifications, and vendor documentation (for example drawing legends and datasheets) with source-anchored provenance.

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Healthcare

Extract structured clinical data from medical records, discharge summaries, and lab reports with provenance back to the source document.

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Media rights

Extract rights terms, territorial restrictions, and royalty structures from licensing contracts and distribution agreements.

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