Compile a graph people can inspect and machines can reuse.
For: Data and knowledge architects
Turn document facts into stable semantic objects and evidence-bound relations inside a versioned World.
A graph that cannot show why an edge exists is difficult to review, govern or trust downstream.
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From filing text to objects and edges.
- 01
Create semantic objects
- 02
Hold uncertain identities for review
- 03
Bind source evidence
- 04
Emit evidence-bound relations
- 05
Activate a reviewed World
What loads into the store you already run.
- Stable object and relation IDs
- Ontology and graph exports
- Version history and rollback
- Evidence for every qualified edge
WHAT TO PLAN FOR Before your first compile
The graph is compiled from documents, so an object exists only where a source region supports it.
Exports are Turtle, JSON-LD and CSV — load them into any store you already run.
An uncertain merge is never decided silently: it is held for review with the regions that support each side.
Working with a design partner.
What an early partner works with:
- A compile of your own corpus, arranged with us.Rather than a self-serve upload, we set the collection up with you and run it.
- The limits for your formats, in writing, before anything runs.The same capability manifest TAVONEL validates every upload against, read against the files you actually have.
- Your result with its receipts.Every compiled fact carries the source location it was read from, and the package is verifiable with the published scripts rather than on our word.
- A direct line to the people writing the compiler.What you find changes what gets built next, and you see the change land.
No name, logo or quote on this site belongs to a customer, and none will until a customer signs off on the exact wording. Availability is a conversation, not a checkout: request access and say what you are trying to compile.
Next: Build on it in Resources, or the exact product contract in the documentation.