AI SaaS

We design, build, and ship complete AI products, from idea to first paying customer. That covers the model layer, the app around it, and the running costs.

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. Most of an AI product is ordinary product work, and we build all of it.

Unit economics

Token costs designed per feature: caching, model routing, and budget caps, so your margin holds as usage grows.

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 first version you can launch usually includes this list 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.

A six-month build that meets its first user on launch day is a big bet. We push for the smallest version real users can react to, then let their reaction decide what gets built next.

Questions clients ask

Short answers, no sales language. If yours isn't here, ask an engineer directly.

Ask us anything

What does an AI SaaS MVP cost?

It depends on scope. We bill $30 an hour, or by milestone. For milestone work we scope first: a short call, then a proposal with a feature cut we'd actually build. We don't publish a project total because we can't give an honest one 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 keep improving it from there.

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 hourly work 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.

Do you work with early-stage founders?

Yes. Many AI SaaS projects start with a founder and an idea, before there is a team or a codebase. We help you cut the idea down to a first version real users would pay for, then write that cut into a scope split into milestones. Payments follow milestones you accept. The code and accounts are yours from day one, so you can hire your own team later.

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Have an AI product idea?

Pitch it in a paragraph. We reply with an honest read and what an MVP cut could look like.

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