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IT & AI innovation · own products · solutions for companies

IT and AI that work in production — in our products and in your company.

We run three products of our own in 25 countries: Brokik, Taniej po Lek and Qkwit. The same team designs and delivers dedicated solutions for companies — with AI that works in production, not in a demo.

  • 3own products
  • 25countries
  • 3/3with AI (Claude) in production

proof

Three products we run every day.

We don’t promise — we do it ourselves. Each product has its own page with the details.

rental management

Brokik

SaaS for running rentals, for property owners and tenants — with local rental law on every market.

25 countries

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medicine price comparison

Taniej po Lekoutside Poland as CheaperForDrug

Compares the price of a whole basket of medicines across hundreds of online pharmacies and shows where to buy cheapest.

9 countries

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AI accounting

Qkwit

Accounting for sole traders: AI reads the documents, a deterministic engine computes taxes and social contributions.

Sole traders · Poland

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All three run AI (Claude) in production.

All products

engineering principle

AI proposes. Code computes.

One rule in everything we build — for ourselves and for companies.

AI

reads, classifies and proposes

deterministic code

computes money and critical decisions

That is how Qkwit works: taxes and social contributions are computed by the engine, not the model.

How we deploy AI

how we work

We build like owners, because we are.

01

A small team, no intermediaries

No layers of account management. The people you talk to are the people who build.

02

Owner’s mindset

We run our own products, so we build company systems like our own — accountable for the result in production.

03

The simplest system that works

Deployed, measured and developed in production. Complexity lives in the engine, not in the interface.

from the blog

We write about what we actually deploy.

Process automation

Document workflow automation with AI: how it actually works

Document workflow automation with AI isn't one magic step — it's a concrete pipeline: intake, extraction, validation, exception escalation, and writing the result into your systems. Here's what that looks like in practice, without the marketing shortcut.

August 22, 2026 7 min read

AI deployments

Using AI in your company: where to start so it actually reaches production

Most conversations about AI in a company end with a list of ideas that never make it past the slide deck. Here's how we pick the first process to automate, what we never hand to a language model, and how we measure whether an implementation is even worth it.

August 22, 2026 8 min read