Knowledge graph

One clean schema over everything, with provenance on every answer

The outcome of the workflow is a single knowledge graph that unifies all connected data under one schema. Agents, software and analysts query all organizational data in one database query, without knowing which source system originally held each record.

Traceable answers

Results carry datasource attribution, so every answer can be traced back to the systems that produced it. That is the difference between an analytics platform and a plausible-sounding chat window.

  • One query, every source. Cross-system questions stop being integration projects.
  • High quality by construction. The graph is cleaned, unified and enriched before anything reads from it.
  • Stable for applications. Software integrates against a documented schema rather than a moving target.
Query Data
A natural language question answered across IMDB and DVDRental sources with attribution
GIST upper ontology

Anchored to a common upper ontology

By default, every generated schema extends GIST, a minimalist business ontology maintained by Semantic Arts. Anchoring all mappings to a common upper ontology enforces clean ontology hygiene: concepts are defined once, categories do not proliferate, and schemas produced for different deployments remain mutually consistent.

  • Concepts defined once. Not once per source, per team, per project.
  • Bring your own. Organizations that have already invested in an ontology can use theirs; SetMeld Composer normalizes connected sources to that model.
  • Consistent across deployments. What you learn on the first integration transfers to the tenth.
The periodic table of the GIST upper ontology showing its core concept categories
Downstream

What the graph supports downstream

Business intelligence

BI tools connect to the graph as a single source instead of maintaining their own semantic layer over a dozen extracts.

Applications

Software integrates against a stable, well-documented schema that does not change every time a source system is upgraded.

AI agents

Agents query with provenance and access controls intact, making the graph a trustworthy substrate for agentic workflows.

Your existing data lake

Optionally push the validated graph onward as the lake’s upstream source of record, so what lands there is already cleaned and unified.

Ask one question across every system

Tell us something your organization cannot currently answer in a single query, and we will show you that query running.