For startups
MVP development as a fixed-scope 4-6 week sprint that ends with a deployed product, the complete codebase, and a technical roadmap. Enough to put working software in front of users and investors.
01 - The situation
If you need to build an MVP without a technical co-founder, one team covers product, design, code, and deployment.
02 - What we offer
01
Our core MVP development service for pre-seed and seed startups: a fixed-scope, 4-6 week sprint to a working product.
Together we cut the idea down to the features that prove the concept. Then we design, build, and deploy a functional application - web product or AI product alike.
A deployed product, the codebase, the infrastructure setup, and a written roadmap for the next stage. Everything a technical due diligence will ask for.
02
For a small number of startups per year, we take part of the fee in equity instead of cash.
The same MVP sprint, at a significantly reduced cash fee, in exchange for a small equity stake. We say no more often than yes - it has to be a fit.
You conserve runway at the stage where it matters most, and you get a technical team whose payoff depends on your product working.
03
After validation or funding, we continue as your development team on a monthly retainer.
A dedicated pod of developers and a product strategist who already know your codebase, building out the full product.
You keep shipping while you hire. When your own team starts, they inherit a documented codebase instead of a prototype held together with tape.
03 - The MVP development timeline
Idea. We lock a fixed scope - the smallest product worth shipping.
Core user stories, product architecture, and a prioritized backlog. We decide together what's in and what's out.
Focused implementation of the core features, with check-ins and a demo at the end of each week.
The MVP goes to a live environment. You get the codebase, documentation, and the v1.0 roadmap.
Continue with us, hire your own team, or pause. You own everything either way.
04 - Proof
Real engagements with clients in a similar situation - what they needed, how the engagement ran, and what they walked away with.
Legal technology, AI-assisted legal research
A small team, roughly three months, three phases: an ingestion pipeline that tamed tens of thousands of court decisions from a government database, a semantic search engine with citations a lawyer can trust, and a multi-tenant AI research workbench legal teams work in all day.
Read the case studyCommodity trading, circular economy
One week of on-site agentic development training, then eight weeks of guidance: a scale-up's own developers ported their internal operations platform from an AI app builder to a production TypeScript stack - over 2,500 commits in six weeks, roughly three quarters of them authored by the team itself.
Read the case studyBook a free scoping session. We'll whiteboard the product together, and you leave with a concrete plan - whether you build it with us or not.
