OWOX gives you a Monday brief with metrics nobody made up. Your marketing lead, your ops person, your finance team — they all self-serve tabular data from the same source of truth. Deterministic. Verifiable. No AI hallucinations.

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?
You don’t need a bigger data team. You need a system that makes data accessible to everyone.
Get started free →Your analyst (or your most technical team member) picks tables from the data warehouse and builds a library with one click.



Every team member browses the library of data assets shared with them.

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.


Share this page with your most technical team member. They’ll connect the data warehouse, build the library, and share it. You’ll get your first brief in Slack – with numbers nobody made up – before the week is over.
Your analyst sets it up once. You get executive briefings on schedule. No more asking people for data.
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.

AI Insights deliver executive narratives to Slack or email – revenue, growth, pipeline. Numbers nobody made up.




When every team member has access to governed data, the company moves faster.
Your Monday brief arrives in Slack at 8am. Your team uses Sheets all week. You never wait for someone to "pull the numbers" again.
Marketing and finance report the same revenue number because they pull from the same Data Mart. No more reconciliations.
OWOX Cloud Starter costs less than a single lunch. A new analyst hire costs $80K and takes 3 months to ramp.
Organizations that scaled analytics without scaling headcount
Not a team — a person. Your most technical team member — an analyst, a marketing ops lead, even a technically confident marketing manager — can set up OWOX in an afternoon. They connect the warehouse (BigQuery has a generous free tier), pick tables, one-click populate the library, and publish it. From that point on, everyone in the company self-serves in Google Sheets. If you have zero technical people, we can walk you through the setup in a 30-minute demo. But honestly, if your company uses Google Sheets and runs ad campaigns, someone on your team can handle this.
This is the core difference between OWOX and every "AI analytics" tool your team has been pasting into Slack. When someone asks ChatGPT "what’s our ROAS?", the LLM generates a query on the fly — different every time, potentially wrong, impossible to verify. OWOX works the opposite way: your analyst defines the SQL, approves the logic, publishes it as a Data Mart. When the Monday brief arrives in Slack, every number in it is the result of that pre-approved SQL running against your actual warehouse data. AI writes the narrative prose, but the numbers are deterministic — same query, same result, every time. Patented technology. Every number is traceable.
Cloud Starter is $30/month. That includes connectors (pull data from ad platforms into your warehouse), Data Mart management (govern and join your data), and the Google Sheets Extension (self-serve column picker). For context: a freelance analyst charges $75–150/hour. A full-time analyst is $80–120K/year plus 3 months to ramp. OWOX gives you a system that scales to every team member for less than a business lunch. Team plans from $875/month add AI Insights (the Monday morning brief), multi-destination delivery, and SLA. Enterprise is custom.
Because ChatGPT makes up numbers and your marketing lead can’t tell the difference. It generates SQL on the fly, joins tables it shouldn’t, hallucinates columns that don’t exist, and gives a different answer every time you ask the same question. One wrong number in a board deck is all it takes. OWOX gives your marketing lead the same self-service experience — ask a question, get data in Sheets — but the data comes from governed Data Marts with analyst-approved SQL. Every cell is deterministic. Every join follows pre-defined keys. No hallucinations. Same answer every time. Your marketing lead gets speed. You get trust.
Your first Data Mart takes minutes. A useful library covering your core metrics — revenue, CAC, pipeline, campaign performance — can be built in a day or two. Your team sees the library in Google Sheets immediately after publishing. AI Insights can deliver your first Monday morning brief the following week. This isn’t a six-month project. There’s no implementation phase, no vendor professional services engagement, no migration. Connect the warehouse, build the library, publish it. Done.
You need a warehouse, but getting one is easier than you think. Google BigQuery has a free tier that covers most small company data volumes — 10GB storage, 1TB queries/month, no credit card required. Your marketing ops person or a freelance analyst can set it up in an afternoon. OWOX connectors then pull your ad platform data into BigQuery automatically, and you’re off. If you already use Snowflake, Databricks, Redshift, or Athena — OWOX connects to all of them. Your data stays in your warehouse. OWOX reads from it, never copies it.
Connect your warehouse, build the Data Mart library, and get AI-narrated metrics in Slack every Monday — with numbers nobody made up.
Walk through the platform with a data strategist. See how your company’s data flows from warehouse to Slack brief — with your actual metrics in mind.