Overview
Most founders lose their competitive window waiting for the right moment to build. We eliminate that wait. Starting from your idea, we design, scope, and ship a production-quality AI MVP in four weeks — backed by a guarantee. You walk into your next investor conversation with something real.

Why this matters
Investors back momentum, not slides. A working AI product — even at MVP scope — compresses your fundraise timeline and unlocks pilot conversations that decks can't. The 4-week window exists because founders who ship in 4 weeks close rounds in 8–12 weeks, while founders who take 4 months to build often lose the window entirely.
How we run it
Week 1 — Discovery & Scope
Stress-test the idea against real user workflows. Define MVP boundaries. Select AI architecture (RAG, agents, fine-tuning, or straight LLM calls). Design data flow and pick the tech stack.
Week 2 — Core Build
Frontend scaffolding, backend APIs, AI pipeline wiring. Production-ready patterns from day one — no throwaway prototype code.
Week 3 — AI Layer & Integration
Tune prompts and retrieval. Integrate with your existing tools (Slack, CRM, DB). Set up evaluation harness so you can measure AI quality objectively.
Week 4 — Polish, Deploy & Handoff
UX polish, deploy to production cloud, demo preparation, and a working handoff to your team — or continue with us into V1.0.
What you get
- Discovery and scoping workshop — we challenge the spec before we write a line of code
- AI product architecture and technology selection
- Full-stack build with GenAI integration
- Demo preparation and investor presentation coaching
- 4-week delivery — guaranteed, or we keep building at no extra cost
- Post-launch handoff and documentation
Our technology choice
We default to a modern, boring stack: Next.js for frontend, FastAPI or Node for backend, OpenAI / Azure OpenAI / Anthropic for LLMs. Vector stores only when RAG is required. We choose tech you can hire for after us — not lock-in infrastructure.