Text is not structure
A paragraph can hide entities, relations, exceptions, and definitions. Flat extraction misses the system underneath the sentences.
Frontier lab for structured knowledge
OntoWeaver
Documents become
woven structure.
We parse complex documents, curate domain ontology, and weave knowledge graphs that systems — and experts — can actually use.
The extraction problem
Knowledge is trapped
in prose.
Enterprises run on PDFs, contracts, manuals, filings, and research notes. Humans can read them. Machines cannot reason over them — until the text is parsed, typed, and linked.
Ontology is the missing layer
Without shared types and meanings, every document stays an island. Ontology turns scattered mentions into a coherent vocabulary.
Graphs make knowledge operable
Once entities and relations are linked, you can query, traverse, and compose — not just search for similar wording.
Manual curation does not scale
Experts should define the schema and validate edge cases — not re-key every clause by hand.
What we build now
From document
to graph.
Our current focus is the full chain: parse the source, curate the ontology, materialize the knowledge graph.
-
Ingest PDFs, scans, and structured files. Recover layout, tables, sections, and citations. Emit clean, span-addressable text with provenance back to the source page.
-
Define the types that matter for the domain — entities, relations, attributes, constraints. Align extracted mentions to a living schema experts can inspect and revise.
-
Weave a graph: nodes for concepts, edges for relations, attributes for facts. Queryable structure with lineage to the paragraphs that justified each claim.
Thesis
Unstructured documents are not a search problem.
They are a representation problem.
Parse with fidelity
If the source structure is lost, every downstream model invents its own. We keep layout, tables, and citations intact.
Name things carefully
Ontology is where domain expertise becomes executable. Shared types are how teams stop arguing about synonyms and start querying facts.
Weave what can be linked
A knowledge graph is not a dump of triples. It is a maintained map of what the documents actually say — and how those sayings connect.
Research partnership
If the domain has documents,
definitions, and dependencies —
it can be woven.
The knowledge already exists. It lives in manuals, contracts, policies, standards, and expert notes. OntoWeaver turns that material into parseable text, curated ontology, and operable graphs.
regulatory filings
technical manuals
clinical guidelines
enterprise policies
research corpora
contracts & clauses