AI product development
From an idea and a domain you know well, to something people can use.
We take an AI product from nothing to a working, launchable version: architecture, the model work, the interface around it, and the evaluation harness that tells you whether it still works next month.
Full builds start at $4,500, fixed scope and fixed price. You own every line, every prompt and every eval from the first commit. Building a first version? See AI MVP development, or MVP development if AI is not the core of the product.
Who this is for
Someone with deep knowledge of a problem and no engineering team - a domain expert, a consultant who has automated their own workflow in spreadsheets, a founder who needs something demonstrable to raise or to show a design partner. The expertise is real; the missing piece is a team who has shipped this kind of system before.
What you get
- 01Architecture, the model work and the interface around it.
- 02An evaluation harness from the first week rather than the last.
- 03Weekly demos on a staging environment you can use, and written status you can forward.
- 04Production deployment on your accounts, with monitoring and cost dashboards.
- 05A feature flag in front of the AI path, and a rollback that is a config change rather than a release.
- 06Documentation, runbooks, the eval harness and a recorded walkthrough.
How a build runs
- 01free, 60 minutes
Strategy session
What the product should do for one specific user, what data exists, what success looks like as a number. We also say what we would not build.
- 022-3 days
Scope and fixed quote
A written scope, an explicit out-of-scope list, one price and one date. The number does not move unless the scope does.
- 033-12 weeks
Build
Weekly demos on a staging environment you can use, written status you can forward, and an evaluation harness from the first week rather than the last.
- 04final week
Launch
Production deployment on your accounts, monitoring and cost dashboards, a feature flag in front of the AI path, and a rollback that is a config change rather than a release.
- 05included
Handover
Documentation, runbooks, the eval harness and a recorded walkthrough.
What separates a demo from a product
This is the gap that surprises people, so here it is explicitly.
| Area | Demo | Product |
|---|---|---|
| Data | A clean sample | Everything, including the 2014 scans |
| Wrong answers | Nobody notices | A refusal path and a confidence threshold |
| Permissions | One user, all data | Retrieval filtered by who is asking |
| Change | Edit the prompt and hope | A regression suite that runs on every change |
| Cost | Irrelevant at ten queries | Instrumented per request, with alerts |
| Failure | Restart it | A feature flag, a fallback and a logged trace |
| Handover | It lives on a laptop | Runbooks, documentation and a recording |
The right-hand column is most of the cost of an AI product, and it is the reason a demo built in an afternoon is not 80% of the way there. We build the right-hand column; that is the service.
Builds from $4,500, most landing between $8,000 and $25,000.
See pricing for the published rates and what moves them. If you would rather have engineers on your team than a delivered project, dedicated pods start at $2,800 a month.
Frequently asked questions
That is the common case here. We take product decisions to you in plain language, write down the trade-offs, and hand over documentation a future CTO can actually read. We will also tell you when a decision is genuinely yours rather than ours.
You do, from the first commit - code, prompts, eval data, infrastructure definitions and documentation. Not on final payment, not on completion. We retain no licence and keep no copy after handover.
Your choice of a dedicated engineer on a monthly basis or a scoped maintenance arrangement. There is no obligation to keep us - the documentation and eval harness exist precisely so another team can pick it up.
A launchable first version starts at $4,500 and most land between $8,000 and $25,000 depending on integration count, data quality and how much of the product is the AI part.
Tell us the idea
Tell us the idea and the data you have. We come back with a written scope, one price and one date.