Your data isn't ready for AI. We get it ready.
Everyone is buying AI tools. Almost nobody has the clean, structured data to make them work. We fix the part you skipped.
You didn't fail at AI. Your data did.
You bought the tools. You ran the pilots. The demos looked incredible. Then it hit real life and fell apart.
The model isn't the problem. Your data is.
It lives in twelve places. Half of it is duplicated. Nobody agrees on what a "customer" even means. There are no labels, no structure, no governance. So the AI guesses, hallucinates, or quietly does nothing useful.
You can't automate a mess. You have to clean it first.
We make your data AI-ready.
Four things stand between your business and AI that actually works. We handle all four.
Find it.
We map every place your data lives. Systems, spreadsheets, inboxes, tools nobody remembers buying. You can't fix what you can't see.
Clean it.
Duplicates gone. Gaps filled. One source of truth. The boring work that makes everything after it possible.
Structure it.
We organize and label your data so AI tools and agents can actually use it. This is where most teams get stuck. It's where we start.
Govern it.
Access rules, privacy, and guardrails so your data stays clean and safe after we leave. No new mess six months later.
Built for teams that are done waiting.
You tried an AI rollout and it stalled. You know the tool wasn't the issue.
You want to deploy agents or RAG, but your data isn't in a state to support it.
You don't have a data team, and hiring one would take a year you don't have.
A clear path, not a science project.
- Step 1Readiness Audit.
We assess your data, your systems, and your goals. You get a straight answer on how far you are from AI-ready and exactly what it takes to get there. Fixed scope. Fast turnaround.
- Step 2Get Ready.
We do the work. Find, clean, structure, govern. You watch your data go from liability to asset.
- Step 3Stay Ready.
Optional ongoing governance so it stays clean as you grow. Most messes come back because nobody owns them. We can own it.
What "ready" actually gets you.
- AI tools that return real answers instead of confident nonsense.
- Agents you can trust with real workflows.
- Reports your team stops arguing about.
- A data foundation that makes the next ten AI decisions easier.
Built by operators, not theorists.
DataDoula is led by people who have spent 20-plus years building and scaling real companies in the Microsoft and AI ecosystem. We have cleaned up enterprise data, shipped AI products, and run agents in production. We know the difference between a slide and a system.
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Start with an audit. Decide from there.
A full read on your data and a clear plan to get AI-ready.
We do the full cleanup, structuring, and setup.
Ongoing governance so the mess never comes back.
Not sure where you land? Book a Readiness Call and we'll tell you straight.
Questions, answered.
How is this different from hiring a data engineer?
A data engineer is one person and a long hire. We're a focused team with a fixed plan and a finish line. You get AI-ready in weeks, not quarters.
Do we need to buy new tools?
Usually not. Most companies already own what they need. The problem is the data feeding those tools, not the tools.
What if our data is really bad?
Good. That's the job. The worse it is, the more the audit is worth.
How long does it take?
The audit is fast, typically days. The cleanup depends on scope, and the audit tells you exactly what that looks like before you commit a dollar.
Do you keep our data?
No. It's your data. We make it clean, structured, and yours, with governance so it stays that way.
Stop blaming the model.
Get your data ready, and AI starts working. We'll show you how far you are in one call.