01 / 03
Build.
Net-new product development, MVP to v1. You have a wedge. We build the thing.
Service 02 / Engineering
We build software. AI is in how we build it.
Small pods. Two-week sprints. Eval gates on every AI feature. We do not run 12-month waterfall projects. We will walk away from RFPs that require it.
Three engagement types.
02 / 03
Rebuild.
Modernizing existing software with AI inside the product or the delivery model. You have a working system that isn't AI-native. We rebuild it so it is.
03 / 03
Embed.
Adding AI features to a product in market. You can't slow the rest of the roadmap. We won't.
How we work.
- —Small pods, sized to the work. Engineering lead, engineers, optional product and design.
- —AI-assisted from day one. Every engineer pairs with an AI assistant — writing, reviewing, refactoring, testing.
- —Fixed-scope sprints, two weeks, explicit acceptance criteria.
- —Eval gates on every AI-involved feature. If you can't put numbers on the behavior, we won't call it done.
- —Daily client visibility. The work is observable in real time, not at end-of-sprint reveals.
What's different from a traditional dev shop.
- —We code with AI. A small AI-paired pod lands more than a larger team without.
- —We test with AI. Test generation, edge-case discovery, regression sweeps run alongside the engineer, not after.
- —We document as we build. Runbooks stay current. They don't rot.
- —We measure AI features with evals. Receipts, not adjectives.
- —We don't over-staff. The team is smaller. The output isn't.
Call us when…
- —You have funding and a wedge, and you need a small team that can land v1 fast.
- —You inherited a codebase that works but isn't AI-native. Rebuild it.
- —You need an AI feature in your product in 90 days and don't have the bench.