For operations and technology leaders who have been handed the AI mandate and need a partner who ships. Most AI consultants hand you a deck. We run a two-week discovery sprint, give you a costed roadmap, then build and deploy it with the same team. You meet the founders on the first call and you own every line of code.






It's hard to know what's real today, so we have the numbers to back it up. Our data-backed four-step process is proven to integrate AI successfully into organizations across industries.

























Since 2012 we have designed, built and deployed more than 150 products, so the roadmap we hand you is one we know how to build.
Nine in ten clients come back for the next phase once the first release is live and measured.
An AI document pipeline removed 14 hours of manual work a day from one operations team.
Advice is only worth what it turns into. Every engagement leaves you with three things you keep, whether or not you build with us. It is the same engagement we run for manufacturers and healthcare companies before a line of code is written.
Scope, timeline, cost and expected return for each phase, in priority order, written for the person who signs the budget.

The riskiest piece built against your real data, so the plan rests on evidence, not a vendor demo.

An acceptable use policy and a training plan for the people who will use what gets built.


Stakeholder interviews, a data and systems audit and a shadow AI assessment show where the real friction is and what it costs you today.
We test the tools on the market against your workflow before you sign anything, and we tell you when an off the shelf product beats custom software.
Training for the people who will use what we build, plus an acceptable use policy. Available on its own through our AI governance consulting service.
Weeks 1 to 2. Stakeholder interviews, a data and systems audit, and a shadow AI assessment. We leave with one or two workflows worth automating and the numbers behind them.

Week 3. We prototype the riskiest piece against your real data so the roadmap rests on evidence, not a vendor demo.

Week 4. Scope, timeline, cost, return model and the governance policy your team needs to run it. You can fund this with us or with anyone.
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The same team builds the first release, integrates it with your systems, and trains the people who will use it. You own the code from day one.

AI consulting with a measurable impact
Strategy stops at the roadmap and the return model. Consulting carries on through the build. The same team designs the plan, writes the software and trains the people who will use it.
Yes. We are a software studio first. Every roadmap is written by engineers who will build it, and most clients move straight from the roadmap into a first release.
Then you build it. The roadmap and the prototype are yours, we hand over the code and train your engineers, and we stay available for design reviews. Many clients take the first phase in-house and come back for the second.
Fixed scope, fixed price, quoted on the first call once we know how many workflows and systems are in play.
Two weeks. You leave with a costed roadmap you can take to any vendor, including us.
The founders are on the first call and stay on the account. Day to day you work with a product manager and the ML engineers who build your system.
Yes, as part of a build or on its own. Our AI governance consulting service covers acceptable use policy, leadership sessions and department training.
A prioritized roadmap with costs and expected return, a validated prototype, a governance policy, and, if you continue with us, production software your team owns.
Build a new platform, or add AI capabilities to existing software, we deliver solutions that work in real operational environments.
Meet with founders Andrew Amann & Pavel Kirillov

Custom AI implementation roadmap
No sales pressure