Data Pipeline
Turn every source into living facts in your ontology.
Connect ERP, CRM, MES and other systems, plus PDFs, spreadsheets and CSVs. Extract, transform, resolve identities, then publish into the ontology in a way you can preview and recover.
Integration moves data. It doesn't explain it.
The same customer has three names across ERP, CRM and invoices. ERP owns order status, but the review decision lives somewhere else. Classic ETL puts data in one place without answering “who is this?” or “who is authoritative?”. Data Pipeline treats both as first-class questions.
LawRelation
What Data Pipeline does
System connectors
Connect via APIs, webhooks, scheduled and incremental pulls. Read and write capabilities are separate; credentials never reach logs or previews.
Files and manual intake
Upload PDFs (including scanned pages via OCR), Excel, CSV or pasted data. Models extract against a declared schema, so new layouts need no bespoke training.
Identity resolution
Recognise the same customer, part or supplier across sources. Uncertain matches go to human review, and every decision is traceable.
Field-level authority
Declare which system owns each field: ERP for order status, the platform for internal reviews. A manual upload never silently overrides a system fact.
Preview, then publish
See old and new values, match results and blast radius on samples before publishing. Previews never trigger production writes.
Recoverable runs
Retries, checkpoints and de-duplication are built in. Unresolved inputs are kept, not dropped, and re-runs never create duplicates.
From source to ontology
Connect
Plug in system APIs, webhooks or uploaded files.
Extract & transform
Deterministic rules plus model-assisted extraction into a declared shape.
Resolve identity
Merge records from many sources into one business object.
Publish
Validated and authorised writes to objects and relations.
What you get
Turn your business into a world AI can understand.
Bring one concrete business problem. We'll tell you honestly whether it makes a good first use case.