AI implementation that
belongs to you.
First we check where AI saves time and money. In about 90 days you have a working prototype, built for your company.
The first call is free. No commitment to implement.
Over 9 years building AI systems for large companies. NEO pilot: documents and reminders, with the decision left to a person.
- 01Free call20 minutes, no commitment
- 02Analysiswhere AI saves time and money
- 03DecisionYou decide whether we go further
- 04Prototypeworking, in about 90 days
- 05A solution built for you belongs to youThe details go in the contract
Where AI pays off, and where it does not.
Examples of situations where you can start improving how work gets done.
Retyping data between systems
Keeping track of cases and tasks
When AI does not pay off
- the task is rare, so there is little to save,
- the data is scattered or incomplete and has to be put in order first,
- a plain rule or simple automation is enough, without AI.
When that is the case, we say so on the first call.
First we count. Then we build.
First we count
We recognise
We look at how the work runs today and where AI can save the most time and money.
We verify
On one real example we show the effect before anything is deployed.
This is where you decide whether we go further.
Then we build
We deploy
The prototype enters the team's daily work, together with documentation.
We measure
We compare before and after and agree how the solution will be maintained.
A working prototype takes about 90 days. Scope, schedule and budget are agreed after the analysis; after the first call you commit to nothing.

Mateusz Stachowicz
Founder
For over 9 years I have been working with AI systems: I designed, built and maintained them for the world's largest corporations.
View on LinkedInThe first call is free. No commitment to implement.
We set the rules before we start.
Four things we agree before work starts.
Data
We work only on the data you share with us, within the agreed scope and purpose. Access details are agreed before the start and described in the documentation.
A person decides
AI prepares, a person approves. You decide what goes out, and unusual cases go to a person for a decision.
Rights and access
What we build specifically for you belongs to you by default. Our existing products and third-party tools run under licence. The details go in the contract before work starts.
Where it runs
Where the solution runs is agreed before the start and described in the documentation.
From an idea to working with users.
In cooperation with Vinci & Vinci we prepared a pilot in which:
- documents and related sources are found in one place,
- reminders are prepared automatically,
- every send-out passes a human decision.
We define the measure of success individually, and we are held to the outcomes, not to the tools we deliver.
In cooperation with Fundacja Orchidea we built Neurohubs as an individual research and development project.
A specialist solution built around a dedicated domain model, designed for one field of expertise.
See Neurohubs (opens in a new tab)// COLLABORATION
What others say
From people we have built artificial intelligence systems with.
Frequently asked questions
How much does an implementation cost?
Scope, schedule and budget are agreed after we analyse your process. The first call is free and commits you to nothing.
What exactly does the project include?
We start with one process: analysis, a check on a real example, deployment, documentation and measurement. Further improvements are agreed separately.
What happens to my data?
We work only on the data you share with us, within the agreed scope and purpose. Access details are agreed before the start and described in the documentation.
Who owns the solution?
What we build specifically for you belongs to you by default. Our existing products and third-party tools run under licence. The details go in the contract before work starts.
Do I need my own technical team?
No. We build and deploy the solution, train the users and leave the documentation. The scope of maintenance and further development is agreed before deployment.
What if it turns out AI does not pay off?
We will tell you plainly, before anything is deployed. That is why we first check the effect on one real example, and after the first call you commit to nothing.
Let's talk about AI in your company.
Pick the convenient form: a short call or a description of the process we will come back to with a proposal.
Book a call
20 minutes is enough to understand your process and say whether AI makes sense.
Book 20 minutes (opens the booking window)Describe your process
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