Trusted, proven, recognized

Trusted by 170k spreadsheet users

170K+
Users trust OWOX[1]
Analysts, marketers, and data teams across 20+ industries
4.9★
Rating on G2[2]
“A trusted data analytics partner” — verified review
370K+
Data marts delivered
Created and served by OWOX to business users
120K+
npm installs[3]
Self-managed OWOX Edition from GitHub
The founder’s dilemma

You’re making decisions on numbers you can’t verify

You ask for a revenue number. Someone pulls it from a dashboard, a CSV, or ChatGPT. A week later you find out the number was wrong – or that marketing and finance had different versions of the same revenue... Sound familiar?

How you get data today

Asking people, waiting, hoping

You ask your CMO for ROAS. They ask the analyst. The analyst asks which dashboard. A week passes.
Finance and marketing report different revenue numbers — because they pull from different sources
John pastes a ChatGPT answer into Slack. It looks right. You make a decision. The number was wrong.
Your one analyst spends 90% of time pulling numbers for people, instead of analyzing.
Thinking about hiring another analyst – but you’re not sure what the first one should be doing differently...
With OWOX

Answers delivered. Numbers verified.

Ask for revenue, CAC, pipeline, or churn in your AI chat — answer on the spot, traced to SQL
Marketing, finance, and ops pull from the same library — same definitions, same numbers
Every number traces back to SQL your analyst approved – deterministic, verifiable
Your team self-serves from Sheets – they pick columns, filter, refresh, without filing tickets
Your analyst builds the system once. It serves the whole company. No more asking people for data.

You don’t need a bigger data team. You need a system that makes data accessible to everyone.

Get started free →
One source of truth

Every team pulls from the library. Same definitions. Same numbers.

Your analyst (or your most technical team member) picks tables from the data warehouse and builds a library with one click.

One-click library creation — aliases, descriptions, join keys, and ownership auto-generated
Revenue means the same thing in every report, every Sheets file, every answer in your AI chat
Technical and Business Owner on every Data Mart — you always know who defined the number
Every team pulls from the library. Same definitions. Same numbers.
Every team pulls from the library. Same definitions. Same numbers.
Every leader self-serves — in the tools they already use.
Data for everyone

Every leader self-serves — in the tools they already use.

Your CMO, CFO, and product lead each browse the governed library in Google Sheets — business-friendly names, trusted numbers, no tickets.

Column picker shows business-friendly names — "Revenue by Channel," not raw database columns
Every cell value is trusted, traceable, verifiable – no AI-generated hallucinations
See it for each team leader: CMO · CFO · CPO · CDO
Every leader self-serves — in the tools they already use.
Your Monday morning ROUTIBE

Ask your business. Get an answer you can act on.

Revenue, margin, what's really driving growth — right inside Claude, ChatGPT, or Slack, and get an answer you can act on.

Every number is the result of a deterministic SQL query, not an LLM guess – patented technology.
AI writes the narration.
Monday leadership brief, weekly board update, daily ops pulse – you always have the latest data at your fingertips.
AI Insights turn your Data Mart output into a recurring executive narrative – revenue, CAC, pipeline, churn – delivered to Slack, Teams, or email every Monday at 8am.
Build a gold layer you actually trust

Forward this to your data team. Ask your first question in your AI chat before the day's out

Your data team connects the warehouse and builds the library once.
You stop asking people for numbers. Forever.

How it works

From 'can someone pull this?' to self-service analytics in 3 simple steps

Your analyst sets it up once. You get executive briefings on schedule. No more asking people for data.

Your analyst builds the library

Connect data warehouse, pick tables, one-click populates data assets. Takes minutes, not months.

Connect data warehouse, pick tables, one-click populates data assets. Takes minutes, not months.

Everyone self-serves in Sheets

Marketing, finance, ops — everyone browses the library from Sheets, picks columns, and set refreshes.

Marketing, finance, ops — everyone browses the library from Sheets, picks columns, and set refreshes.

You get briefings on schedule

You ask, and get answers — in Claude, ChatGPT, or Slack; every number traces to the SQL your analyst approved

You ask, and get answers — in Claude, ChatGPT, or Slack; every number traces to the SQL your analyst approved
Connect data warehouse, pick tables, one-click populates data assets. Takes minutes, not months.
Marketing, finance, ops — everyone browses the library from Sheets, picks columns, and set refreshes.
You ask, and get answers — in Claude, ChatGPT, or Slack; every number traces to the SQL your analyst approved
What changes for your company

Make decisions on numbers you trust

When every team member has access to governed data, the company moves faster.

Decisions in minutes, not weeks

Ask a question in your chat and get a trusted answer in seconds; your team self-serves in Sheets all week

One version of the truth

Marketing and finance report the same revenue number because they pull from the same Data Mart. No more reconciliations.

A subscription instead of a salary

A Reporting Analyst starts at $65/month. A new analyst hire costs $80–120K/year and takes three months to ramp up...

What company leaders say

Customer stories

Companies that deployed self-service analytics

Organizations that scaled analytics without scaling headcount

All case studies →
FAQ

Questions CEOs ask

Do I need a data team to use OWOX?
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How do I know the numbers are real and not AI-generated?
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What does this actually cost?
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My marketing lead already uses ChatGPT for data questions. Why is this better?
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How long until I’m actually using this?
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Can I start without a data warehouse?
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RECOMMENDED

Ask your first question free

Connect your data, build the library, and ask your business in your own AI chat – with zero hallucinations

Free to start
Works with Claude and ChaGPT
Get a setup plan your team can execute this week
NEED HELP?

Book a demo with our team

Walk through the platform with a data strategist. See how your company’s data flows from the source to a traced answer in your AI chat.

30-minute walkthrough tailored to your company
See the Monday morning brief in action
Share this page with your most technical team member to set up