The operating system
for data quality.
Velum finds where your data broke, why it broke, and fixes it. Then it writes the contract so it never breaks that way again.
BY RESEARCHERS FROM
Your numbers diverge. Velum finds out why — and fixes it.
Watch how Velum detects a discrepancy between teams, traces the root cause through your query lineage, and deploys a fix — automatically.
Divergence
Two teams pull the same number. They get different results. The dashboards look fine. The queries don’t error. Nobody notices until the board deck doesn’t add up.
Understanding
Velum traces the divergence to its root: different data sources, different filters, different scopes. It maps the full query lineage and shows exactly where and why the numbers split.
Resolution
Velum proposes a unified definition, generates the migration, and deploys the fix. Then it writes a contract so this specific break never happens again. The numbers converge — and stay converged.
Ask two teams for revenue. Get two different numbers.
You pull a number. It looks wrong. So you send a data engineer to trace it — through pipelines, transforms, and team-specific logic — to figure out if it's real. That investigation takes days. Now multiply that by every number in every dashboard.
Nobody knows which number is right
Two teams compute revenue differently. Both queries run fine. Both dashboards look correct. The discrepancy surfaces in the board deck — weeks later.
Discovery is manual and slow
When numbers look wrong, someone has to trace the data back through every pipeline, transform, and source. It takes days. The answer is usually “someone changed a filter six months ago.”
Fixes don’t stick
You fix the discrepancy. Six months later, a schema change or a new query quietly reintroduces it. Without contracts, every fix is temporary.
Detect. Trace. Fix. Prevent.
Velum covers the full lifecycle of a data problem — from the moment something goes wrong to making sure it never happens again.
Catch what’s broken — before anyone notices
Velum monitors query patterns, value distributions, and schema changes continuously. When a number starts drifting, a column goes null, or a JOIN silently drops rows — Velum flags it.
Find the root cause in seconds, not days
A live dependency graph built from production query traffic. Which teams depend on which data, how far a change propagates, where the break actually happened. Not documentation from last year — what’s happening right now.
Propose the fix, deploy it, move on
Velum proposes a unified definition, generates the migration, and deploys it through your existing review workflow — git, dbt, CI/CD. No new tools.
Write the contract so it never breaks again
Every fix becomes a data contract — an enforceable rule that catches this class of break automatically in the future. No YAML authoring. No manual maintenance. Contracts that come from real problems, not guesswork.
Built for the people who get the “why don't these numbers match?” message.
For Data Team Leads
You’re the one who gets the Slack message. “The revenue numbers don’t match the board deck.” Velum does that investigation for you — finds the root cause, proposes the fix, and writes the contract. You go from firefighting to preventing fires.
For Data Engineers
Stop writing YAML contracts by hand. Stop triaging why this number doesn’t match that number. Velum generates contracts from real query traffic and catches breaks before they reach production.
For Executives & Stakeholders
Trust the numbers in the board deck. When the data says revenue is up 12%, know that 12% is real — not an artifact of a broken JOIN that nobody caught.
Fits your stack. No lock-in. No rip-and-replace.
Velum connects to the tools you already use. No rip-and-replace, no new infrastructure, no lock-in.
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