OWOX turns your data warehouse into a self-service system where every stakeholder — the CEO, the Head of Marketing, the ops lead — gets a dedicated data buddy in Google Sheets. Joinable Data Marts, a column picker, and deterministic AI Insights on schedule. No hallucinations. No analyst queue.

Demand for data keeps growing. Your team can’t keep up. The instinct is to hire — another analyst, another tool, another dashboard layer. But headcount doesn’t scale analytics. A system does.
You don’t need more analysts. You need a system that makes every analyst 10× more effective.
Get started free →Your data team picks tables from the warehouse and one-click populates a governed Data Mart library — descriptions, aliases, join keys, and ownership auto-generated. Every team in the company self-serves from the same source of truth.



The OWOX sidebar puts the Data Mart library inside Google Sheets. Every stakeholder browses, joins Data Marts by analyst-defined keys, picks columns, and refreshes — 24/7. The analyst who built the library is effectively cloned for every user.

Insights turn Data Mart output into recurring executive narratives — delivered to Slack, Teams, or email on schedule. AI writes the prose. Your analyst approves the SQL. Every number is the result of a deterministic query, not an LLM guess.


Connect your warehouse, build the Data Mart library, and hand it off in Google Sheets. Your CEO gets a Monday morning brief. Your marketing lead picks columns on the fly. Your ops team refreshes daily — all from the same governed source.
Your data team builds the library. Every team member in the company self-serves from it. AI delivers insights on schedule. The hiring gap closes without a single new hire.
Your data team picks tables or pastes SQL. OWOX auto-generates governance — aliases, join keys, descriptions, ownership. A governed library in one click.

The Sheets Extension puts the library inside Google Sheets. Marketing, sales, finance, leadership — everyone browses, joins, picks columns, and refreshes. No tickets.

Insights turn Data Mart output into executive narratives delivered to Slack, Teams, or email. The CEO gets a Monday brief. Ops gets a daily recap. All deterministic.




When every team member has a data buddy, your analytics function transforms.
One analyst’s library serves the whole company. Every stakeholder self-serves 24/7 in Sheets — the queue disappears.
Every cell traces back to analyst-approved SQL. Deterministic. Verifiable. No AI hallucinations — patented technology.
When the reporting backlog drops to zero, your analysts finally work on the problems you hired them to solve.
Organizations that scaled analytics without scaling headcount
Think about what a new analyst hire would do in their first 90 days: learn the warehouse, understand the metrics, build reports for 3–4 teams, then spend the rest of the year maintaining those reports and fielding “can you add one more column?” tickets. OWOX compresses that entire cycle. Your existing data team picks tables from the warehouse, one-click populates a governed Data Mart library, and publishes it. From that point on, every stakeholder opens Google Sheets, browses the library with the column picker, joins Data Marts by analyst-defined keys, picks the columns they need, and refreshes on schedule. You didn’t hire someone new. You made the person you already have 10× more effective.
This is the question that matters most. When your CMO asks ChatGPT “what’s our ROAS by channel?”, the LLM generates a SQL query on the fly — and that query might be different every time, might join wrong tables, might hallucinate a column that doesn’t exist. Nobody catches it until the wrong number shows up in a board deck. OWOX works the opposite way. Your analyst writes the SQL, approves the logic, and publishes it as a Data Mart. When a stakeholder pulls data through the column picker, they’re picking columns from that pre-approved schema — the query is deterministic, identical every time. AI Insights work the same way: the analyst defines SQL templates with data placeholders, AI writes the narrative prose around the numbers, but the numbers themselves are the result of those deterministic queries. Patented technology. Every cell is traceable.
This is the exact problem the Data Mart library solves. Your data team defines “revenue” once — as a Data Mart with a clear SQL definition, a business-friendly alias, a description of what it includes and excludes, and an assigned Business Owner. That single Data Mart gets published to the library. When marketing, sales, finance, ops, product, and leadership pull revenue data in Google Sheets, they all pull from the same Data Mart. Same definition. Same numbers. The reconciliation problem disappears because you eliminated the root cause: multiple definitions.
The first Data Mart takes minutes — connect your warehouse, pick a table, OWOX auto-generates the governance layer. A useful initial library covering your top 10–15 most-requested metrics can be built in a few days. Stakeholders see the library in Google Sheets immediately after publishing — there’s no training period because the interface is a column picker inside the spreadsheet they already live in. This isn’t a six-month semantic-layer implementation. Your data team builds incrementally: start with the metrics that generate the most tickets, publish those first, watch the queue shrink, then expand.
An analyst costs $80–120K/year fully loaded, takes 3 months to ramp, and serves maybe 3–4 teams before becoming a bottleneck again. OWOX Cloud Starter is $30/month. Team plans — which include AI Insights, multi-destination delivery (Sheets, Slack, Teams, email), multiple projects, and SLA — start at $875/month. That’s roughly 1% of an analyst salary for a system that scales to every team in the company without burning out. Enterprise pricing is custom. The self-managed edition is free forever on your own infrastructure.
Yes — and this matters more than most analytics vendors acknowledge. OWOX Data Marts can run entirely on your infrastructure: GCP, AWS, Azure, DigitalOcean, Render, or a local machine. The platform code is ELv2-licensed (free for internal use and client work), connectors are MIT. Your data never touches OWOX servers. For teams that need Cloud convenience but still want control, the Cloud edition also keeps data in your warehouse — OWOX queries it, never replicates it. Enterprise features like SSO (SAML), granular access permissions, and monitoring require a separate license. Six deployment paths, zero lock-in.
Connect your warehouse, build the Data Mart library, and hand it off in Sheets. Every stakeholder self-serves. Your data team works on strategy.
Full OWOX platform on your infrastructure. ELv2 + MIT licensed. Free for internal use and client work — forever.