Solution

NewAsk @owox your data questions in Claude, or ChatGPT

Your team stopped pulling reports. Now they just ask.

The Senior Analyst answers the “why” — in plain language, in Claude, or ChatGPT — through MCP Server. Every answer is tracable & analyst-approved. Never a hallucinated number. It’s the analyst your whole company can trust.

Explore how different team members can iteract with trusted data using OWOX & Claude or ChatGPT

The analytics system 170,000 spreadsheet users already trust

Marketplace users

175K+

teams running OWOX from the Google Workspace Marketplace

G2 rating

4.9

296 verified reviews on G2

Connector downloads

156K+

open-source connector installs via npm

GitHub stars

231

the platform is open source — star it, fork it, self-host it

THE TRUST GAP

Your team is already asking AI your data questions. It’s guessing the answers.

Every department has someone pasting company data into ChatGPT. The numbers come back different every time. Here’s what changes when the answers are grounded.

Without a Senior Analyst

AI guesses

  • Stakeholders ask ChatGPT “what’s our ROAS?” — it writes a query on the fly that joins the wrong tables
  • The number’s different every run; nobody catches it until a board deck
  • You become the human help desk, answering “why did X happen?” in every Slack channel
  • “AI analytics” tools hallucinate context they don’t have
  • You stop being the help desk — the Senior Analyst answers 24/7

With a Senior Analyst

AI answers

  • Answers run on your analyst-approved Data Marts — deterministic, identical every time
  • Every number traces back to the SQL your team approved — fully auditable
  • Anyone can ask AI and get trusted answer — you’re out of the loop, still in control
  • AI writes the narrative; SQL computes the numbers — it never invents them
  • Your team uses AI for data. The answers are finally true.

The question isn’t whether your team uses AI for data. It’s whether the answers are true.

Get started free →

WHICH ANALYST YOU'RE HIRING

The Senior Analyst is the top of the ladder.

Start with the Reporting Analyst to build the governed library. Add the Senior Analyst when your team needs to ask “why.”

DATA INTERN — Free

Pulls and blends your data. The on-ramp. Refreshes reports on time. Collects data to dwh.

REPORTING ANALYST

Builds the library of data marts; every team self-serves reports in Sheets.

SENIOR ANALYST

Answers “why” in plain language — @owox in Claude, ChatGPT. Grounded, traceable, never hallucinated. You’re here.

F05 · HOW IT STAYS HONEST

It doesn’t guess. It reads the library your analyst already governs.

The Senior Analyst answers from the same Data Marts your Reporting Analyst published — analyst-defined logic, approved SQL, clear ownership. Ask a question; OWOX runs the governed query behind it and writes the answer around the result. The AI never touches raw tables and never makes up a number.

  • Grounded in analyst-approved Data Marts — delivered through MCP, not a chatbot guessing over raw schema.
  • Deterministic SQL behind every answer — same question, same number, every time
  • Patented technology — AI narrates, never invents

See it in action →

F06 · THE ANSWERS

“@owox, sales categories by market?"

Your stakeholders ask questions the way they’d ask a human analyst — in plain language, in the tools they already live in. The Senior Analyst replies with the number, the trend, and the narrative behind it.

  • Ask in Claude, ChatGPT, or email — wherever the question comes up
  • Get the “why,” not just the “what” — narrative answers, not raw rows
  • Every answer links back to the Data Mart and SQL it came from

Start getting answers you trust →

F07 · The fan-out

One Data Mart. Every report. Every channel.

A single published Data Mart feeds multiple Sheets, Looker Studio dashboards, Slack digests, and email summaries — simultaneously. Same SQL, same numbers everywhere. You never duplicate a query again.

  • Multiple reports with different filters from one Data Mart — one per team, region, or client
  • Fan out to Sheets, Looker Studio, Slack, Teams, Email — each on its own schedule
  • New stakeholder asks for a view? Add a report — not a query

Start free →

How it works

From question to trusted answer — in three steps

Point the Senior Analyst at your governed library. Your team asks in plain language. It answers, traceably.

Step 1

Connect the governed library

Point the Senior Analyst at the Data Marts your team already published. Approved logic, nothing raw.

Step 2

Your team asks @owox

In Claude, or ChatGPT, in plain language. “Why did CAC spike?” “What’s our best-performing channel this month?”

Step 3

It answers, traceably

OWOX runs the governed query, writes the narrative, and links every number back to its SQL. No hallucinations.

OWOX MCP

Trusted company data, inside the AI you already use

It's called MCP: a secure connection between your governed Data Marts and the AI your team already uses — Claude or ChatGPT. They ask their business a question; OWOX answers over the marts your analyst approved, with the SQL attached. The AI never touches your raw warehouse and never writes its own joins.

  • Works with Claude, and ChatGPT — via MCP
  • Answers carry your business context — definitions, ownership, access rules
  • Right people, right data — context-based access on every Data Mart

F11 · RUN HISTORY

Every question your org asks — and the exact SQL that answered it.

When the whole company can @mention an analyst, you might worry you've lost the thread. You haven't. Run History logs every AI query and the governed SQL behind it — including the moment an assistant reaches for a field you never published. You stay the authority because you can see everything.

  • See every AI query, in order
  • Every answer's SQL, attached
  • Catch invented-field attempts before anyone else does

See it in action →

F12 · A FREE TOOL FOR YOUR DATA TEAM

Model the “why” before you answer it — free, no login.

Model Canvas is a standalone visual data-modeling tool (open OKF format, pre-built domain models). Map how CAC, spend, and revenue connect, then bring the model into OWOX. A genuinely useful gift for your analyst — not a pitch.

  • Open OKF format — no vendor lock-in
  • Pre-built domain models for SaaS, marketing, and finance
  • Free forever, no login required

Explore data models →

What changes for you

Stop being the human help desk

When anyone can mention @owox and get a trusted answer, you get your time back.

Answers, not just reports

Your team gets the “why” without a meeting or a ticket. The Senior Analyst replies in their tools, on their schedule.

AI you can put in front of the board

Every number is deterministic and traceable, not an LLM guess. Board-defensible from day one.

You stay the authority

Your analysts define the logic; the AI only narrates it. You’re out of the Slack thread, still in control of the truth.

What users are saying

What analysts say

Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.

A3re: trusting AI
Nodari RizunFounder & CEO, Pürblack®
“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
C7re: removing hallucinations
Nodari RizunFounder & CEO, Pürblack®
“OWOX removed the AI hallucinations from AI — and that's a huge problem, because AI by its nature will hallucinate. You need guardrails so you can trust your data.”
E1re: AI on solid data
Mark SimmonsCMO, Pürblack®
“There's an AI layer on top that develops the insights — but we know the data underneath is solid, so the risk of hallucination is much, much smaller.”

Customer stories

FAQ

Questions data analysts ask

How is this different from just asking ChatGPT our data questions?
ChatGPT writes a fresh query each time and can join the wrong tables — different answer every run. The Senior Analyst answers from your analyst-approved Data Marts: the SQL is fixed and governed, the number is deterministic, and every answer is traceable. AI writes the words; it never computes the number. Every query is delivered through MCP and logged in Run History, so you can see exactly what was asked and which SQL answered it.
Do I need the Reporting Analyst first?

Yes — the Senior Analyst answers from the governed Data Mart library the Reporting Analyst builds. Start there, then add the Senior Analyst when 'can you pull this?' turns into 'why did this happen?

Where can my team ask questions?
Slack, Teams, email, and your AI assistant of choice — Claude, Gemini, or ChatGPT, connected via MCP. And no, you're not handing your warehouse over to a chatbot: the AI only ever sees the Data Marts your analyst has explicitly published — never your raw warehouse — and every answer comes with traceable SQL attached.
Can it hallucinate a number?

No. Numbers come from deterministic SQL your analyst approved. AI only writes the narrative around them. Patented technology; every cell traces back to source.

What does the Senior Analyst cost?

The Senior Analyst starts at $90/month with 75 credits. You can start free with the Data Intern tier — 30 one-time credits, no credit card. The self-managed edition is free forever on your own infrastructure. Enterprise pricing is custom.

Can I self-host OWOX?

Yes. OWOX Data Marts runs on your infrastructure — GCP, AWS, Azure, Docker, or your laptop. Platform is ELv2-licensed (free for internal use), connectors are MIT. Your data never touches OWOX servers. Deployment options on GitHub.

Still have questions? Talk to us →