AI SaaS
A complete AI product, from idea to first paying customer. The model, the app around it, and the economics that keep it alive.
Scoping that cuts
We help you find the smallest product that proves the idea. The features you skip at first are as important as the ones you build.
The AI core
Model selection tested against your real use case, retrieval where it needs your data, agents where it needs to act. Built model-agnostic.
The SaaS around it
Auth, multi-tenancy, Stripe billing, admin. The unglamorous majority of an AI product is still a product, and we build all of it.
Unit economics
Token costs designed per feature: caching, model routing, and budget caps, so your margin survives your growth.
Evals and monitoring
Automated quality checks against known-good answers before every release, and production monitoring after it.
Launch and handover
Deployment, documentation, and a codebase that is yours. You can keep us on for iteration or take it fully in-house.
What a first version usually includes
The cut varies per product, but a fundable, launchable first version tends to be exactly this and nothing more.
- One core AI loop that delivers the product's actual value
- Sign-up, auth, and workspaces
- Stripe billing with one or two plans
- Usage limits, so free users can't burn your model budget
- Evals and cost monitoring from day one
- A landing page that explains the product honestly
MVP means minimum.
The AI product graveyard is full of six-month builds that met their first user on launch day. We push hard for the smallest version real users can react to, and then let their reaction decide what gets built next.
Questions we actually get
Short answers, no sales language. If yours isn't here, ask an engineer directly.
Ask us anythingWhat does an AI SaaS MVP cost?
It depends on scope, which is why we scope first: a short call, then a fixed-price proposal with a feature cut we'd actually build. We don't publish a number because an honest one doesn't exist without knowing your product.
How long until launch?
An MVP built to prove the idea with real users typically takes weeks to a few months depending on the cut. We ship a working product early and iterate, rather than disappearing for half a year.
Who owns the code and the IP?
You do, fully. The repository is yours from day one, the accounts are in your name, and nothing depends on us to keep running.
What happens after launch?
Your call. Some clients keep us on a retainer for iteration and new features, some hand the codebase to an in-house team. We document for the second case even when the first happens.
Have an AI product idea?
Pitch it in a paragraph. We reply with an honest read and what an MVP cut could look like.