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.
2+ years embedded with a vertical SaaS company:
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.