How Calliope works
Connect your data, generate semantic ontology, enforce business rules, and deploy agents that operate with rigor, governance, and traceability.
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Data Infrastructure
Automated Data Pipeline
From data source to operational agent in minutes. The pipeline captures, structures, loads, generates ontology, and creates validated examples automatically. Each conversation operates on a versioned DuckDB snapshot: a frozen, consistent, and reproducible world.
- Capture → Structure → Load → Ontology → Examples
- Versioned snapshots for per-conversation consistency
Semantic Layer
Ontology as Agents' Tool Schema
The ontology is part of the pipeline, not a side project someone maintains by hand: it is phase four of five, regenerated every time new data lands. The merge is one-directional — AI-written descriptions are replaced, human-written ones are kept. At query time the agent is handed only the slice of schema its question needs, not the whole catalogue.
- Phase four of five, re-run on every ingest
- The merge replaces AI text and keeps human edits
- Schema relevance: the agent sees only what its question needs
Query-time enforcement
Rules Applied Where the Query Is Built
Each rule is a stored object: a markdown description, a category, an on/off switch, versioned like anything else in the platform. They are applied at the point the query is assembled, which is why they reach every question the agent answers rather than the dashboards somebody remembered to configure.
- Objects with a description, a category and a toggle
- Versioned, so you can see what changed and when
- Applied to every query, not configured per dashboard
