OWOX Data Marts is one governed surface with two very different experiences — the analyst who sets the boundary, and everyone else who just asks a question within their favorite AI tool.
Bring Data Marts, define the joins, set the quality checks. The LLM only ever reads what you allow – and you see every SQL query it runs, including invented-field attempts, in Run History.

Connect OWOX to Claude or ChatGPT in one click. Ask your business a question in plain English and get an answer within your chat + a connected report in Google Sheets that you can refresh & share.

Define the joins and quality checks once. See every AI query — including invented-field attempts — in Run History.
Publish trusted Data Marts and define the joins — the trust boundary every AI answer respects. Set it up once; every future question inherits the same governance.

Every question asked through MCP is logged — including any attempt to invent a field. You stay the gatekeeper, not the bottleneck.

The LLM never writes SQL. It narrates an answer built from your analyst-approved joins — the same question gets the same answer, every time.




Connect in one click, ask in plain English, get a board-ready number with a chart — traceable to SQL your analyst wrote.
Connect OWOX to Claude or ChatGPT in one click via OAuth. No new tool to learn, no raw warehouse access granted.

Ask your business a question in plain English and get a board-ready number back — visualized, and traceable to SQL your analyst wrote.

Keep any answer by sending it straight to a Google Sheet your team already watches — no copy-paste required.




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Outcomes your company gets the moment your data marts go live.
No new tool to learn — ask your business a question right inside Claude or ChatGPT, the AI chat you already use.
Every question comes back with a visualized, board-ready answer — not a wall of numbers to interpret yourself.
No six-month semantic-layer project. Your analyst publishes a mart and defines the keys — MCP is live right after.
See every question the AI ever asked your data — including any attempt to invent a field. Nothing runs unseen.
Stop waiting on the data queue. Ask now, get a governed answer back in seconds.
The LLM narrates; analyst-approved SQL computes. Every number traces back to SQL your analyst wrote — never invented.
Govern the marts and joins one time. After that, every question in the org runs inside that same trusted boundary.
Skip the backlog. Get the number you need the moment you need it — straight from your own AI chat.
Stats with comment threads attached — like a colleague verifying your numbers in a shared sheet.
Connected BigQuery, set up 37 data marts, built a data model and had live reports in Sheets in under 15 minutes. My team thought I was joking when I showed them how they can now get live reports right in their sheets.
No. AI narrates the answer; analyst-approved SQL computes it. The LLM never invents a field or a join.
No — MCP answers use the latest scheduled refresh, not a live query. That's deliberate: predictable cost, consistent numbers.
No. OWOX queries your data in place — BigQuery, Snowflake, Databricks, Redshift, or Athena — and never copies it out. The CEO sees analyst-approved governed outputs, not raw data.
Claude and ChatGPT today. Cloud-only by design.
No. MCP takes the grunt work off their plate. Your analyst keeps the judgment calls — governing the marts and joins — and becomes more valuable, not less.
Weeks, not quarters. There's no semantic-layer project first — your analyst publishes a mart and defines the keys.
Get started free — connect Claude or ChatGPT in one click and get your first governed answer today.
We migrated 200+ reports from Looker to OWOX Data Marts. Our team now self-serves without filing a single Jira ticket. Easily the best infrastructure decision we made this year.