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Six industries. The recurring problems we know cold.
We focus on a handful of industries on purpose. The data problems that show up in mid-sized companies tend to repeat, and we know how to handle them — including the clean-data groundwork that AI projects depend on.
Where we focus.
Most of our work falls into six industries. We're happy to work outside them too — we'll just tell you straight when we're learning on your time versus drawing on twenty similar projects.
Financial Services
Banks, credit unions, and asset managers with reporting deadlines for regulators that simply can't slip.
Healthcare & Life Sciences
Moving patient and claims data to a modern platform with privacy protections built in from the start, not bolted on after.
Retail & E-Commerce
From overnight updates to near-real-time, so your merchandising team can act on what's selling today.
Logistics & Supply Chain
Predicting arrival times, routing on the fly, and smarter pricing — all on one clean, shared data foundation.
B2B SaaS
Product usage data, billing based on what customers use, and one clean view of each customer — without three copies of the same data.
Professional Services
Managing your practice, time and billing, and project profitability — all from one trusted set of numbers.
What we get hired for.
Replace aging data plumbing
The behind-the-scenes tools that move your data around — often built by people who left years ago. We keep the logic that works, drop the dead weight, and add the tests and traceability that should have been there from the start.
Move to a modern platform
The most common project we run. We move you onto Snowflake in scoped, quoted stages, running the old and new side by side so reports keep matching — and we can switch back at any point until you're ready to go live for good.
Build a clean data foundation
Set up a modern cloud data platform that's organized, well-managed, and ready to grow. Everyday reporting and heavier data-science work all pull from the same trusted, clean data.
Get your cloud spending under control
Clear tracking, dashboards that show who's spending what, and a sizing approach that consistently cuts Snowflake bills by 30-50%.
Move from your own servers to the cloud
Your on-site databases holding regulated data — moved with no big-bang weekend cutover, changes copied over continuously, and a full record of everything that happened.
Turn one-off models into reliable systems
Take the prediction models running on someone's laptop and turn them into a real system your team can run, monitor, and fix. Pursuing AI on top of this? See AI Enablement for the data-foundation work that makes AI assistants, scoring, and AI that takes action actually ship.
Get the data foundation right before scaling AI
One clean record per customer, the ability to trace where every number came from, agreed definitions for your business numbers, well-organized documents, and the controls AI needs. The work that turns an impressive early demo into a system you can run. Pressure-test where you stand with The Data Foundation for AI Checklist — 22 questions across the six layers.
See AI enablement →Tell us what you're trying to do.
The candid conversation is free. We'll either help you scope it, refer you to someone better suited, or tell you not to do it yet.