We build and run your entire data stack — so your team can ask AI real questions and trust what comes back — for a fraction of the cost of an in-house team.
We take on 2–3 new clients per quarter.
CSV exports on Monday mornings. A spreadsheet with 47 tabs. Every question takes 2 weeks to answer.
You need a data engineer, an analytics engineer, and an analyst. That's three job posts, 600 resumes, and $400k+ in salary. Six months later — still no dashboards.
Six weeks of "discovery," a strategy deck, and a Jira board. Six months and $200k later, still no dashboard.
You plugged AI into your data. It's giving wrong answers because the data underneath is a mess. Now nobody trusts it.
You give us access to your data sources and Slack. We assess your current stack, evaluate your AI-readiness, and tell you exactly what to build, what tools to use, and what to fix.
Pipelines, data models, dashboards — built and documented for AI from day one. Every field gets business context. Every metric gets a definition. Your BI tools get configured so AI gives accurate answers.
This isn't a one-time project. We manage your data stack as your business evolves — with AI monitoring that catches problems before you do.
The numbers behind 2+ years embedded with a vertical SaaS company.
DTC, wellness, beauty, health tech, pet food, fitness — we've seen and solved every type of data problem. We build the whole thing — pipelines, models, dashboards — and we do it in weeks because we've done it all before.
We'll ask you about your data problems, show you what we'd build first, and tell you honestly if we're the right team for it.
We respond faster than most pipelines refresh.