About
We read balance sheets and we build the software
We combine 25 years in finance and management with building AI projects from scratch, from client work to a regulated fintech serving millions of users. We check the business case as carefully as the model.
01Why
What counts is what still works after the pilot
AI projects too often follow the same pattern. The presentation impresses, the trial works on hand-picked data, and three months later nobody uses the system. The technology was rarely the problem. Nobody had asked what the work it was meant to take over actually looked like.
The flip side is the belief that AI is only for large companies. Meanwhile the simplest jobs, such as grouping customer reviews by topic, tracking competitor prices or answering routine questions, are now cheap and measurable, and they still go undone.
Noothropic exists to do the unglamorous part well: understand the process, work out the cost, choose the cheapest tool that does the job, and leave the client with something they can run themselves.
02Team
The people you will work with
Maurycy Borkowski
AI/ML EngineerAI project lead
6+ years in AI and machine learning, from a company’s first AI project to systems running every day in a regulated financial business used by millions of people.
Every project gets a team sized to its scope. Data, machine learning and software engineers join within days, when the work calls for them.
03Principles
What you can rely on
Three principles we keep, even when a client asks for something different.
Control stays with you
Data, infrastructure and documentation belong to you. We stay for as long as you want us, and if you would rather run it yourself or with someone else, everything is ready for that.
Numbers before opinions
Before we switch anything on, we agree how its effect will be measured. If the improvement cannot be measured, we don’t start.
We say it straight
That includes telling you when AI is the wrong answer and an ordinary script or a change to the process will solve the problem.
Show us the process that costs your team the most time
Describe it in a few sentences. We’ll tell you whether it can be improved, roughly what that would cost, and whether it needs AI at all.