AI solutions that turn your data into decisions

What AI really does here, and what it does not

Reads emails and documents and extracts what is needed. At Ampwise, AI interprets supplier price quotes in whatever form they arrive.

Answers questions from the company’s own materials. That is how Bürokratt’s virtual assistants answer citizens’ questions.

Turns speech into finished text. In DocAid, a doctor’s documentation is ready 10⁠–⁠15 seconds after recording.

Predicts what happens next. FleetBrains shows which cars sell quickly on the market and which will end up sitting in stock.

Spots anomalies. For example, it finds errors in a large set of documents before they are published.

AI does not replace data that does not exist, and it does not make decisions for you. If the data is not enough, we tell you during process mapping. When the input always has the same structure, we build the solution without AI: it runs faster and is easier to control.

Situations we solve

Decisions are made on gut feeling, even though the figures are there

We build a tool that takes your past results into account and suggests the next step. Before you start using it, we compare its suggestions with the choices your team has made.

Errors and anomalies are spotted only once the damage is done

Orders, payments and measurements are monitored continuously, and an alert goes out as soon as something deviates from the norm. That way you can step in before an error starts costing money.

Key knowledge sits in a few colleagues’ heads and is not written down anywhere

We bring your manuals, contracts and other materials together in one place. You can ask questions there as you would ask a colleague, and the AI always cites its source so that the answer can be checked.

Your product could make its own recommendations, but the in‑house skills to build that are missing

We design and build the feature into your product and hand it over with the code and documentation. Your team can develop it further.

Results in numbers

Ampwise: the sales process in one AI workspace

According to Ampwise, its quarterly turnover grew from €70,000 to €1.8 million in two years. During that time, we built them an AI workspace that reads emails, interprets supplier price quotes in any format and finds suitable suppliers.

FleetBrains: our own product

We have taken an AI product of our own to market. FleetBrains predicts in real time which cars are most profitable for a car dealer to buy and sell, when, and at what price. The system shows which models and specifications are in demand on the market and which may end up sitting in stock. Its co‑founders are Martin Piirmaa, Rutmar Silde and Tauno Laja; in 2025 FleetBrains raised €800,000 from Icebreaker.vc.

Where the data is stored: On servers in the European Union or on your own server. If needed, we build an anonymised solution in which the AI sees no personal data or trade secrets.
Who can access it: Only the people you have authorised, and signing in requires two-step verification, such as a password and a phone. Every action is recorded in a log that belongs to you.
GDPR: Personal data is processed in line with the GDPR, solely for the purpose agreed in the contract.

Before you ask

Do we have enough data?: Often more than you think: emails, invoices and spreadsheets are data too. During process mapping we review together what you have and what is missing.
Who owns the code?: You do. We hand over the code, documentation and access; maintenance is your choice, not an obligation.

A working prototype in about three weeks

After process mapping, we choose one process together. You provide the data, and we build a working demo you can try yourself.

Book an initial call (opens in a new tab)Request a prototype

Answers and forecasts from your own data