Every data team asks
Can we ship it?
Did we break something?
Great data teams answer both, with evidence, every time. CAT is the AI-native data quality toolkit they answer with.
Behind every great data team is quality assurance done right.
We are a data team too. We know which report gets opened first on Monday — and what it costs your organisation when the numbers are missing, wrong or both.
Start with the number that matters.
No blank page. CAT comes with what a check looks like, which ones are worth having and where they live — so your first day goes on picking the number, not on inventing a way to test it.
Who is CAT for? →Test the whole data solution.
Unit tests prove the part you changed still works. Quality assurance reaches everything downstream of it — every layer, down to the report finance opens on Monday.
Introduction →Proof comes from comparison.
Row counts and freshness said the load looked fine on the night the pipeline reported success and moved nothing. Holding the target against its source, row by row and across technologies, is what proves it.
What CAT actually is →AI-native means your agent does the work.
A CAT test is plain text and the CAT CLI runs headless, so Claude Code or any coding agent writes, runs and maintains your checks. You review them like any other change.
Start using CAT →A toolkit, not a platform.
A platform is adopted, rolled out and then served for years. A toolkit is installed in a minute, with no ticket, and used.
Why CAT? →So what do data teams test with CAT?
Data quality
Is the data right, and does it mean what the business thinks it means?
Data architecture
Did we build what we said we would build, and is it still that months later?
Data migration
Does the new system hold what the old one held?
Data reconciliation
Do the systems agree, when each of them is built on different technology?
Data access
Can people see only what their role allows them to?
Write the check once, and it keeps answering — on every deployment, after every load, every night. Automate your checks →
CAT does not make your data good. Your data team does. These docs are where they learn how.
Our week looks like yours.