Design · Build · Operate
Custom AI software for mid-market enterprises.
We design, build, and run AI systems for manufacturers, distributors, and industrial operators. Working prototype on your data in 14 days — then systems that stay in production for years.
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What we do
We cover the full lifecycle of an AI project.
From the first architecture decision to long-term operations — engaged phase by phase, or as one continuous program.
- Discover01
AI Strategy & Architecture
Assess readiness, choose the stack, scope the project. Decide whether AI delivers value before committing budget.
- Build02
Design & Build
Custom AI applications and autonomous agents, engineered into your workflows and existing systems.
- Scale03
Industrial Platforms
Large-scale platforms integrating data sources, processes, and interfaces across the organization.
- Operate04
Operations & Reliability
Production deployment, monitoring, and model lifecycle management. Keep it reliable for years.
Proof
They helped us cut through the clutter. The strategy process went beyond AI — it focused on understanding our business and uncovering where AI could truly add value. As a result, our sales team's productivity increased by 30%, and we achieved significant cost savings.
How we start
A predictable, three-step start.
- 01
Discovery call
30 minutes with both founders. No sales pitch — a real conversation about your problem and whether we're the right people for it.
- 02
Written follow-up
Within 24 hours of the call, you get a written summary: what we heard, where we see the work, and a scoped proposal for the discovery sprint.
- 03
Discovery sprint
Two weeks, fixed scope. A working prototype on your data, an architecture decision record, and a scoped proposal for the next phase.
Frequently asked
Practical questions before the first call.
How long from first call to a working prototype?
Two weeks. Every engagement starts with a fixed-scope discovery sprint that produces a working prototype on your data by day fourteen. From there we move in weekly cycles with a demo and decision point at the end of each cycle.
What happens if the project doesn't deliver?
We work in two-week cycles with weekly demos. Scope can be adjusted, paused, or ended after any cycle. Both founders are directly involved in every engagement — there is no handoff to a junior team after the sales call. We don't take on work we don't believe we can ship.
Who owns the code, data, and models?
You do. All code, models, and derivative artefacts are your property and delivered to your repositories. We don't train shared models on your data. Deployment runs in your cloud by default, or in ours if you prefer — your choice, documented before the discovery sprint begins.
How does pricing work for a typical project?
Every project is priced fixed-scope, set after the discovery sprint — when scope and architecture are concrete, not before. Most clients continue on a monthly retainer after the first delivery for ongoing development and operations. No hourly billing, no open-ended time and materials.
Can we start with a paid discovery sprint?
Yes. Most engagements begin with a fixed-scope two-week discovery sprint. The output is a working prototype on your data, an architecture decision record, and a scoped proposal for the next phase. You keep everything produced, whether or not you continue.
Where is the team located, and what time zones do you cover?
The team is based in Kraków, Poland. We work across European and US time zones, with core hours 9:00–18:00 CET and US overlap until 12:00 PT. Most clients work with us asynchronously via weekly demos and a shared documentation log.
Get in touch
From first call to a working prototype in two weeks.
Fixed-scope discovery sprint. You keep everything produced — whether or not we continue.