Get AI tools, automations, and software built by an AI-native engineering team.

Who actually does the work?

Mentor-supervised teams from our active Sigmaschool cohort and alumni network. Every project has a senior engineer overseeing quality. We assemble the right team for each project — usually 2–3 builders + a senior mentor — based on the stack and scope you need.

What's the typical turnaround?

Sprint builds (single feature, small tool, automation) ship in about 2 weeks. MVPs typically take 4–6 weeks. Larger or more complex scopes are quoted on the scoping call. We commit to weekly deployed progress so you never wait until the end to see what we're building.

Who owns the code?

You do, from day one. At handover you get the full repo, deployment access, environment configuration, and brief documentation. We don't use proprietary platforms, we don't licence anything we build to you — you walk away owning the entire stack.

Can I hire the team afterwards?

Yes. Many clients hire builders they worked with as full-time engineers afterward — we treat this as a feature, not a bug. If you'd rather start with hiring directly, see /hire for our graduate hiring pipeline.

NDA / IP protection?

Standard mutual NDAs available on request before the scoping call. All builders sign IP-assignment agreements with Sigmaschool, which transfer to you at handover. Sensitive projects (financial, medical, regulated) can be flagged on the brief — we'll match you with builders who have the right background.

What if we're not happy with the work?

Weekly demos mean issues surface early — not at the end. If a sprint genuinely misses the mark, we re-do it on us. If we mutually decide the fit isn't right after the first sprint, you keep everything built so far and only pay for completed work.