Started in 2015 as a Tableau consulting shop. Evolved into full-stack data engineering because half of every Tableau project turned out to be "fix the upstream data first." Today we do the whole pipeline — ingestion, modeling, transformation, warehousing, dashboards, and the AI agents that increasingly sit on top of it all.
We keep the team deliberately small. Every person who touches your project is senior. No juniors getting their reps on your codebase. No offshore handoffs at 11pm. The person in the kickoff is the person in the production review.
We work across industries — retail, fintech, healthcare, media, SaaS — but the pattern is always the same. Somebody has a data problem that's growing faster than the team can keep up with. We show up, ship the thing, document everything, and hand back a system that keeps working after we leave.