AI your users will actually use.

Search, drafting, chat, summaries and assistants built into your own product, on your own data, by a founder who ships 14 AI features in his SaaS.

From $5,0002 weeksReply within 24 hours

(01) The problem

What you get instead.

Your customers expect AI in your product. Bolting on a chatbot won’t do it, and your team is busy with the roadmap.

  • AI features designed around your users’ jobs
  • Built into your codebase, alongside your developers
  • Cost controls and usage limits from day one
  • Monitoring, and a fallback when a model fails
  • The right model per task: OpenAI GPT, Anthropic Claude, Google Gemini or xAI Grok
  • An MCP server, if your users should reach your product from their AI assistant
(02) Prices

AI features inside your product, priced up front.

Three fixed-price packages with a delivery time, and Enterprise for larger companies. You get a written scope and price before work starts.

Starter

One AI Feature

$5,000

Delivery: 2 weeks

One AI feature built into your product, with cost controls and usage limits.

Get a quote
Standard

AI Suite

$10,000

Delivery: 4 weeks

Several AI features around your users’ jobs, with monitoring.

Get a quote
Premium

AI Platform

$18,000

Delivery: about 7 weeks

AI across your product: assistants, search, automations and an MCP server.

Get a quote
Enterprise

Custom pricing

Company-wide AI, several agents, access rules.

Contact us

Models: OpenAI GPT, Anthropic Claude, Google Gemini and xAI Grok, chosen per task. Model usage is billed by the provider to your own account; we estimate it before the build and add usage limits so it stays predictable.

Want a senior engineer every month? Monthly plans from $2,000 a month, fixed or hourly. Discuss a monthly plan

(04) How it works

From first call to 30 days after launch.

  1. 01Pick the work.

    One task that costs your team the most hours, mapped with you.

  2. 02Prototype on your real data.

    To see that it genuinely helps before anything is built around it.

  3. 03Build it into your tools.

    With approvals, logs, usage limits and a fallback when a model fails.

  4. 04Launch, measure and 30 days of fixes.

    Usage and time saved tracked, then the next workflow if you want one.

(05) Questions

Questions before you start.

Can you work in our codebase?

Yes, with your developers, through pull requests they review.

What about AI costs?

We design for them from day one: caching, limits and the right model per task.

Start a project

Have a project in mind?

Where others see impossible, we see solutions.
When a project gets called too hard, our answer is simple: bring it.
We don’t fear complexity. It’s where we do our best work.

Tell us what you’re building and where it’s stuck. Within 24 hours you get useful questions and a proposed next step, or an honest answer if we’re not the right fit.

  1. 01Tell us about it.A few lines on the goal, the deadline and what exists today.
  2. 02A reply within 24 hours.Useful questions and a proposed next step, in writing.
  3. 03Scope and price agreed before work starts.Projects from $2,000. Ongoing fractional CTO work is billed monthly.
Response time
Within 24 hours, 7 days a week