OntoWeaver

Crafting Domain-Native Intelligence

Every domain’s core is its ontology. We curate it to turn structured and unstructured data into a deterministic, fact-grounded knowledge base that powers systems, agents, and experts.

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.

01

Text is not structure

A paragraph can hide entities, relations, exceptions, and definitions. Flat extraction misses the system underneath the sentences.

02

Ontology is the missing layer

Without shared types and meanings, every document stays an island. Ontology turns scattered mentions into a coherent vocabulary.

03

Graphs make knowledge operable

Once entities and relations are linked, you can query, traverse, and compose — not just search for similar wording.

04

Manual curation does not scale

Experts should define the schema and validate edge cases — not re-key every clause by hand.

From document to graph.

Our current focus is the full chain: parse the source, curate the ontology, materialize the knowledge graph.

  1. Stage 01

    Document parsing

    Ingest PDFs, scans, and structured files. Recover layout, tables, sections, and citations. Emit clean, span-addressable text with provenance back to the source page.

    • layout recovery
    • table extraction
    • provenance spans
  2. Stage 02

    Ontology curation

    Define the types that matter for the domain — entities, relations, attributes, constraints. Align extracted mentions to a living schema experts can inspect and revise.

    • entity types
    • relation inventory
    • expert review loops
  3. Stage 03

    Knowledge graphs

    Weave a graph: nodes for concepts, edges for relations, attributes for facts. Queryable structure with lineage to the paragraphs that justified each claim.

    • entity resolution
    • relation linking
    • lineage & audit

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