From idea to a live, production-ready product in 4–8 weeks — with AI built into the architecture, not bolted on at the end.
You're a founder who has raised a pre-seed, seed, or Series A round. You have a thesis, an early customer signal, and a runway clock. You don't have time for a six-month build, and you don't want to hire and manage four full-stack engineers right now.
You need a partner who can take your product from a Notion doc to a real, live, working v1 — and ship it in weeks, not quarters.
A production-ready, AI-native v1 of your product. That means:
We lock the scope of your v1 in a structured working session. You leave with a written spec, an architecture diagram, and a sprint plan. No discovery-phase invoices.
Weekly sprints, each ending with a working demo. You see progress every Friday. No black box, no end-of-project surprises.
Production deployment, monitoring set up, documentation handed over. If you want us to keep operating it under SLA, we slide directly into our Build & Run service.
We scope every build to a fixed fee in the first call. MVP builds typically fall into one of three tiers:
Single-surface product. 1–2 integrations. Light AI layer (LLM API calls, prompt orchestration). Best for proving a core hypothesis fast.
Multi-surface product. 3–5 integrations. RAG or agent layer. Production observability. Best for shipping a v1 that can hold real customers.
Multiple AI workflows. Custom retrieval. Enterprise integrations. Compliance-ready logging. Best when AI is the core product, not a feature.
No hourly billing. No discovery-phase invoices. The scope and the price are locked in the first working session.
If you're not in one of these, talk to us anyway — these are where we have proof, not where we're limited.
We're honest about this. We're not the right team if:
An AI-native MVP treats AI as an architectural foundation rather than a bolt-on feature. From week 1 we make decisions about retrieval architecture, agent orchestration, model selection, and prompt routing — the same way other teams make decisions about databases or auth. A bolted-on MVP wraps a ChatGPT call around an existing product. An AI-native build assumes the model is the product.
Yes, when scope is locked in week 1 and we run weekly sprints with full visibility. The reason most agencies quote 4–6 months for the same work is staffing economics, not technical reality. Our 6-week timeline assumes a tightly scoped v1 — usually one core workflow done excellently rather than ten workflows done partially.
Three options. (1) You take the codebase and run it with your in-house team. (2) We slide into our Build & Run service and operate it under SLA while you hire. (3) We do a 30/60/90-day post-launch warranty at no extra cost. You choose at handover.
Yes, this is most of our work. We handle all the architecture and engineering decisions. Your job is to be clear about the business outcome you want and available for weekly sprint reviews.
Book a scoping call and we'll tell you exactly what we can build for you — and what it will cost.