AI · automation · data foundations · Warsaw
AI that runs in production, not in a pilot.
We build AI agents, private AI workspaces, automation and the data foundations under them, for mid-sized companies and enterprises. Then we run them.
What do we do?
We find the work that wastes your team's time, then replace it with systems that run themselves.
- 01 · Empes AIAI that does a real job AI implementation for companies in Poland, built around a real job: an AI agent inside an existing process, an internal assistant, a private AI workspace for your staff, a consistent digital character, or a custom solution.
- 02 · Empes SynthesisSimpler ways of working, then automation Business process automation, starting with an audit. We look at how your business works today, find where time and energy are being wasted, and design simpler ways of working using the right mix of no-code tools, custom code and AI automation.
- 03 · Empes InfrastructureFoundations your reporting can stand on We build the data and technology foundation behind the scenes, so your reporting, automation and digital transformation efforts have something reliable to stand on.
- 04 · Empes StudioWebsites, brands and launches that keep working We design and build websites, shape the brand they carry and plan the campaign that launches them, with the sign-ups, admin panels and newsletters behind them built properly too.
Selected work
Systems in production.
Most clients are described, not named; the sites we built are named with the clients' agreement. Every result is the one the case study records.
- Global pharmaceutical · 2025Scaling enterprise data infrastructure: a 300+ source ingestion framework300+ data sources on one framework, 70+ TB
- Mid-sized company · 2026A private AI workspace for a company's staff: one chat, chosen models, costs that stay in bounds
Sports club, amateur league · 2026Liga Astra: a tennis league that publishes its own resultsabout 2 min from a saved score to the public tables
How?
Start with one process. Expand only when the numbers move.
01
Understand
We start with the real business context, not with tools. It begins with a free, 30-minute call: bring one process, and we tell you whether automation changes it.
You get A map of how the work happens today
02
Simplify
We reduce complexity, identify what matters and propose the clearest path forward. Steps that do not need to exist are removed before anything is automated.
You get A redesigned process and a plan
03
Build
We implement with the right mix of AI, automation, data and infrastructure, then document it and hand it over, so your team runs it.
You get A working system, documented and handed over
How we build
The system before the tool.
Each project on this site taught the same lesson from a different side. Consistency in AI output is a systems problem, not a prompting one. Automating a broken process makes it break faster. Scale comes from better abstractions, not bigger servers.
- Inputsstructured, versioned, reviewed
- Processsimplified before it is automated
- Pipelinesone framework, configured per source
- Failurealerting, so you know first
- Handoffdocumented, run by your team
Notes
The method, written down.
Guides, lessons learned and open topics drawn from the work, with every illustrative number labelled. All notes
- Choosing an AI implementation partner: the questions to ask before you signHow to choose an AI consultancy or AI implementation partner: one process first, a measured pilot, your own code and keys, your data protected, a real handover.
- Portable development environment: three piles, one catalogue and a checkHow to move a project, AI-built ones included, to a new laptop or cloud sandbox: sort what it needs into three piles, catalogue secrets by name, then check.
- Clean up after your AI agentsAI agents leave a working copy of the code behind for every task, and nothing removes it. The three checks we use to remove one safely, and why cleanup is part of done.
Tell us which process costs you the most hours.
Bring one process. We will tell you whether automation changes it.