Three disciplines, practiced together.
Every project goes through our four-phase process. The disciplines below describe what we actually build — and how we work across them.
AI Strategy
Sulfur — the intelligence layer
AI is most useful when it sits inside a system designed for it. We scope, build, and operationalize AI capabilities that pay rent — measured, evaluated, and improving over time.
Data Platform
Salt — the foundation
Without clean data, nothing downstream is real. We design platforms that move data reliably from source to insight — with the kind of quiet dependability that lets the interesting work happen on top.
Cloud Architecture
Mercury — the connective layer
The infrastructure layer where everything actually runs. We design for the load you have today and the one you'll have in two years — without paying for either of them right now.
Three models for different kinds of work.
Discovery Sprint
Workshops, stakeholder interviews, technical due diligence. You leave with a written roadmap, not slides.
Build Engagement
A focused build of a specific capability — model, pipeline, platform module — shipped to production.
Embedded Lab
A small, senior team that sits inside yours — for compounding problems that don't end at delivery.
Tell us what you're trying to make.
We'll propose the right approach within a week.
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