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.
- 01
Small pods, sized to the work. Engineering lead, engineers, optional product and design.
- 02
AI-assisted from day one. Every engineer pairs with an AI assistant — writing, reviewing, refactoring, testing.
- 03
Fixed-scope sprints, two weeks, explicit acceptance criteria.
- 04
Eval gates on every AI-involved feature. If you can't put numbers on the behavior, we won't call it done.
- 05
Daily client visibility. The work is observable in real time, not at end-of-sprint reveals.
Differentiators
What's different from a traditional dev shop.
01
We code with AI. A small AI-paired pod lands more than a larger team without.
02
We test with AI. Test generation, edge-case discovery, regression sweeps run alongside the engineer, not after.
03
We document as we build. Runbooks stay current. They don't rot.
04
We measure AI features with evals. Receipts, not adjectives.
05
We don't over-staff. The team is smaller. The output isn't.
When to reach out
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.
