Celvari is an agentic, AI-native data platform that turns plain-language requests into governed, production-ready data products — in a day instead of weeks.
Your data team is buried in pipeline requests. Every business question goes to engineers, gets rebuilt as pipelines, tested, reviewed, and weeks later something comes back close — but not quite right. Then it has to be documented, its lineage traced, its quality rules written, its glossary kept current, all by hand. The tooling was built for a world before AI, and it still charges you for the old way of working.
Celvari was built AI-native from the ground up. You describe what you need; a coordinated system of AI agents plans, builds, tests, governs, and deploys it — with one human decision before anything ships.
What makes it different:

Agentic, not assistive — agents do the work end to end, not just suggest code an engineer still has to finish.
Governance by construction — quality gates, lineage, tags, and glossary terms are written into an open catalog you own, while the work happens. Nothing is bolted on afterward.
Nothing locked away — your data products, lineage, and domains live in an open catalog on your own database, with your choice of AI model. If you walked away tomorrow, you'd keep all of it.

Three hard gates sit on every build: quality before code, passing tests before progress, and one human approval before deploy.

In real use-cases, Celvari has delivered work estimated at two weeks in under three days — fully governed and AI-ready.

Celvari is developed after years spent inside enterprise data and AI transformation — its founders have led large-scale data initiatives across several commercial industries and the public sector, lived the translation, trust, and governance costs firsthand, and built Celvari to solve the problems they spent careers working around.

Celvari

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Celvari

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