What it is
Most operations run on data spread across a dozen tools, none of which agree with each other. That mismatch compounds every time a new tool gets added, until nobody fully trusts the numbers enough to build on them — including an AI system pointed at the same ungoverned data, which fails the same way a person does: confidently, and without knowing it.
We consolidate it. Data moves from where it sits into pipelines, then into a data model refined in stages until it's reliable enough to build on. Not a one-time export — a system that keeps pulling and keeps agreeing with itself.
Once it's reliable, we build the connections that make it reachable: by your team, through the tools they already use, and by anything else you point at it. That includes whatever AI systems come next. Grounded data is the difference between a system that answers from real numbers and one that answers with confidence and nothing under it.
What you get
- Data pipelines pulling from the systems you already run.
- A refined data model, staged until it's reliable enough to build on.
- Direct connections for your team, and for the tools and AI systems you point at it.
How it runs
Every engagement starts with the audit — mapping what data exists, where it lives, and what has to be true for it to be trustworthy. Audit, architecture, build, deploy: the same order for every offering.
Grounding is the standard we build to. A system that can't verify a number doesn't get to state it. That's engineering discipline, not a promise — the failure mode we build against is confident fiction: data that looks trustworthy and isn't.
From $25k · 4–8 weeks