Your AI data team
Jitto builds and helps manage your data warehouse. Your team asks questions in plain English. Every answer has a path back to its source.
Give Jitto one question your team can’t answer quickly today.
Less work between
you and the answer.
Your people spend less time building and reconciling data, and more time deciding.
The foundation. And what comes next.
Get the data ready for the questions that matter. Jitto handles the build work and makes the answers inspectable.
Describe what you need. Jitto plans, builds and checks the work. Your team reviews the evidence and approves the changes.
Starting fresh or improving what’s already there.
Every answer comes with the underlying evidence, so your team can see where the number came from and understand how it was calculated.
Net revenue is gross sales less refunds. Follow the calculation and the source tables.
Asks a short question when the request could mean different things.
Inspects tables, backup copies, activity logs and data inside text fields.
Counts rows and tests which columns identify a record.
Shows what it will build and explains anything left out.
Copies data without writing back to the source, then builds and tests the tables.
Compares row counts, totals and matching keys. Makes failures visible.
Connects a metric to its definition and prepares changes for approval.
Checks freshness against the agreed schedule and flags stale data.
An answer you can follow
Same business. Different definitions. Finance reports revenue after refunds; Sales reports it before refunds. Both can be valid.
The useful question is which definition you need—and what produced the answer.
Illustrative example · not a live queryAgree the definition before comparing the totals. A difference can be a business choice, not a broken calculation.
Keep gross revenue as a separate, clearly named metric when the business needs it.
Inspect the calculation and the data it uses. Lineage helps people review an answer; it doesn’t replace their judgment.
SELECT
gross_sales - refunds AS net_revenue
FROM revenue_summary;See the tables behind the answer and how they connect. The example shows a simplified lineage path.
Agent-run, human-signed-off
Jitto combines AI with independent checks designed for data work. You get the evidence to review—and keep control of the changes.
Checks live apart from the work. The system reruns them on a clean copy. The agent’s own account isn’t the proof.
A person you name reviews the changes before they merge. Sign-off covers Build changes, not every answer.
Trace an answer through its calculation to the underlying data. Inspect the path before acting on the result.
We try to fool our checks on purpose. When an attempt gets through, we fix the weakness and keep the record.
Illustrated replay, not a live testA summary table lost half its rows. The reconciliation step still called it healthy.
The same damage each time let a memorised answer pass.
Vary the damage on each run. Test the work again.
The changed check exposed the failure.
Start where you are
A first warehouse. An existing one that needs attention. A question that deserves a clearer answer.
For the business you’re building
Get your data into shape and give your team a way to ask questions. Jitto builds the warehouse tables, checks the work and puts the evidence in front of you.
You decide what’s ready.
For the decisions you own
Build on your existing data foundation. See how the numbers are defined, where they come from and what has changed before your team approves the work.
Put the evidence behind the decision.
For the team behind the numbers
Let Jitto handle the build work and assemble the checks. Keep definitions and their owners visible, review differences, and make the resulting data useful to the business.
Your standards. Inspectable results.
For the figures you need to explain
Follow an answer back through the query and the tables behind it. Give your team the evidence to explain a figure and investigate a difference.
Make the working part of the answer.
For the people building the system
Build produces a standard dbt project in your own git. Independent checks run apart from the work. Drive Build and Answer through an API or MCP endpoint.
Make it your question
Give Jitto one question your team can’t answer quickly today. In a one-hour working session, we’ll explore the data and the work behind the answer, using your data where practical.
A query or written description is enough to start. Rebuilding and checking the actual number depends on having suitable data.
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