Data products in a day, not weeks.
Your team is buried in pipeline requests. Celvari clears the backlog — describe a data product in plain language, and AI agents build, test, and govern it, ready to ship the same day.
Member of the NVIDIA Inception program 
Six workflows. 25+ specialized agents. One governed platform.
From your documents to answered questions — every step agentic, every step governed, on your own infrastructure.
Knowledge Ingestion
Your documents become governed metadata — terms, definitions, and synonyms extracted and linked to real columns.
02Profiling & Classification
Every column profiled and classified — PII and sensitive data flagged automatically, at column grain.
03Domain Building
Your estate organized into governed business domains — every table classified, owned, and searchable.
04Domain Design
Agents design the data model from your business questions — the grain declared in plain English and proven against your data.
05Data Product Build
Intent to a tested, deployed data product — through hard quality gates and one human approval.
06Explore & Ask
Ask deployed products questions in plain language — answers, charts, and the SQL behind them.
Legacy ETL tools bolted AI onto a thirty-year-old engine. They can only ever assist.
Copilots assist.
They suggest SQL. An engineer still builds, tests, documents, and ships. The bottleneck stays.
Legacy ETL moves data.
The pipes carry the data. Turning it into something you can trust is still weeks of manual work.
Celvari was built AI-native from the ground up — so the agents don’t just suggest the work, they do it.
Celvari ships data products.
A plain-language request goes in. A governed, tested, deployed data product comes out — with one human decision in between. Not a faster version of the old tools. The thing that replaces them.
Your data platform is the most expensive thing standing between you and your data.
Three hidden costs sit between every business question and a trustworthy answer — and your team pays all three, by hand, on every data product.
Every request is rebuilt by hand — and comes back wrong.
A business need goes to engineers, gets rebuilt as pipelines, tested, reviewed — and weeks later something comes back that is close, but not what anyone asked for. So it goes back, and the queue grows. Poor data quality alone costs the average organization this much every year, before a single AI project.
Data you can’t trust can’t power AI — so the projects stall.
You have tried to hire your way out: people who speak both business and code, restructure, wait years. But your best people spend their time keeping brittle pipelines and definitions alive — and the data underneath still isn’t governed or trustworthy enough to build on. That is exactly where AI stalls: Gartner expects organizations to abandon 60% of AI projects through 2026 for lack of AI-ready data.
And the build is only half the work.
Every data product still has to be documented, its lineage traced, its quality rules written, its glossary kept current — by hand, after the fact. So engineers spend more time proving the work than doing it. Little wonder Gartner expects 80% of data and analytics governance initiatives to fail by 2027 — the governance that slips under deadline pressure is the first thing to go.
The problem was never your team. It’s tooling built for a world before AI — still charging you for the old way of working.
The agents do the work. Your team makes the calls.
Copilots suggest code for an engineer to finish — the bottleneck stays. Celvari runs the work itself: across profiling, domain design, build, and governance, 25+ specialized agents carry every workflow, and your engineers direct the outcome.
- Agents do the work — profile, classify, design, build, test, document, deploy.
- Your team decides — confirm the design, approve the deploy, own the judgment.
- Three hard gates keep it safe — quality before code, tests before progress, a human before production.
Why you can’t get this by adding AI to the tools you already have.
Agentic, not assistive.
Most tools offer an assistant: it suggests, and a person still builds, tests, documents, and ships. Celvari’s agents do the work — they plan it, build it, test it, fix their own failures, and hand a person one decision: ship it or don’t.
You can add intelligence to the edge of an old engine. You cannot move it to the center without building a new one.
Governance by construction.
Celvari doesn’t bolt governance on afterwards, and it doesn’t hide it in a black box. Quality rules run as a hard gate from your catalog. Lineage, tags, and glossary terms are written into an open catalog you own, while the work happens. It stays clean automatically — because keeping it clean is part of the build, not a job for later.
Governance added afterwards is a risk you manage. Built into the path, it is something you can prove.
Nothing locked away.
Legacy platforms are designed to be hard to leave. Celvari locks nothing away — your data products, lineage, glossary, and domains live in an open catalog you own, on your database, with your choice of AI model. If you walked away tomorrow, you would keep all of it.
A confident platform competes on what it does — not on the cost of leaving.
What customer success looks like.
An eCommerce company needed a full view of the customer lifecycle, from marketing to retention. The data lived in 3 different systems across 14 tables, and collecting and preparing it took days of manual work every time.
With Celvari, the first data product was live two hours after deployment. All twelve data products were finished in three days — work the team had estimated at around fourteen days of development. Every source and every product is now fully governed.
The data products now feed AI agents that automate the customer lifecycle — and revenue grew by 35%.
A public-sector authority ran a critical dashboard built from external feeds and internal data sources. Building it had taken months of manual work — and the data was still not ready for AI.
With Celvari, five data products were built automatically in two days — fully governed and AI‑ready.
Celvari is in pilot with partners across EMEA. We name no one without permission — but we will happily build your example live.
The questions everyone asks first.
What is Celvari?
Celvari is an agentic, AI-native data platform. You describe a data product in plain language and a coordinated system of AI agents builds, tests, governs, and deploys it — in a day instead of weeks — inside your own environment, with one human approving before anything ships.
How is this different from an AI copilot or text-to-SQL tool?
A copilot hands an engineer a draft they still have to validate, test, document, and ship — so the bottleneck stays on your team. Celvari's agents carry the work all the way through quality gates, generation, testing, lineage, and deployment, and stop only for a single human approval. You get a governed production data product, not a suggestion.
This sounds like AI hype. Is it actually real?
It's real, and it works because the AI is fenced in by engineering, not trusted blindly. Transformations run as deterministic, versioned SQL on your own database; a hard quality gate and a full test suite stand between a request and production; and it's already running in pilots delivering governed data products in days. The demo runs on your data, not a canned script.
How can I trust a data product an AI built?
Nothing ships on trust — it ships on evidence. Every build clears a data-quality gate before any code exists, every model is tested and must pass to advance, and a person signs off on the intent, generated logic, test results, and quality findings together. If a step fails, the agent reasons about why and corrects itself instead of passing the error downstream.
Does Celvari replace my data team?
No — it moves them off the work that wastes them. Your engineers stop hand-coding, testing, and documenting pipelines and start directing the work: defining what the business needs and owning the one approval that matters. The skills they build alongside it are standard and transferable, not locked to us.
Bring your worst backlog item. Watch Celvari clear it.
In a working session, we build a real data product live — and show how it's governed, tested, and deployed. Then we map it to the rest of your backlog.