About Us

We are a team of perfectionists with a great attention to detail

We enjoy complex or unorthodox assignments and during development, we fine-tune and improve everything until the result is perfect for us. We have dozens of successful projects behind us and we have been collaborating with many of our clients for several years.

Tým

The highest value of our company is a stable and experienced team

Most people have been working with us for over 5 years, some even for 10 years. When we hire a new developer, we dedicate several months to intensively train them so they can identify with our approach to work and clients. Thanks to this, we can vouch for everyone, and perhaps that's why no customer has ever left us due to dissatisfaction in our history.

History

It All Started in 2013

Back then, three former classmates from the Faculty of Informatics at VUT Brno – Michal, Honza, and Martin – decided that after 5 years of gaining experience as employees, they would start their own company.

2013
First Office

We move into our first office on Dobrovského street. Although "office" is a stretch - it's really just one small room with a shared kitchenette.

2014
ROI Hunter

We report our first big success. As part of developing ROI Hunter (a Facebook ad management system), we fly to Facebook headquarters in Dublin. We win against other European companies developing similar products, and our client gains certified Facebook partner status.

2014
First Employees

We hire our first employees and the small office is no longer enough. We move a few hundred meters away to Rostislavovo Square, where we rent an entire floor of 120 m². We also celebrate the company's first birthday.

2015
Belgium

We manage to acquire our first foreign customer. They're from Belgium and send us great gifts.

2017
Cows

We begin long-term cooperation with the customer Českomoravská společnost chovatelů, a.s. Our first task is to develop a web application for verifying calf parentage based on DNA samples. This marks the beginning of the "cow" team.

2018
Building

Our company grows to 25 people. Company events no longer look like an intimate IT gathering, but like real team-building exercises. And our offices are again becoming too small, so we take additional space on the ground floor of the building - a former auto parts warehouse. We plan to redesign it beyond recognition with U1 designers.

2019
Moving

The move is complete, we occupy the ground floor and 1st floor of the building. We celebrate this milestone with a big party at Vinařství U Kapličky, our first overnight company event.

2020
Covid

The Covid pandemic prompted us to build a modest fitness center in the offices and set up a terrace. We focus mainly on long-term partnerships in web and mobile application development for end customers.

2021
Embedded software

We establish a department for embedded software development in C++. The first orders are various modules for software in rail vehicles for the customer Škoda Digital.

2022
Transformation

We transform the company to be less dependent on owners and to utilize more of our employees' potential. We introduce more systems and organization, while also strengthening our specific company culture.

2023
Photovoltaic Power Plants

For the Brno-based customer SOLSOL, we start developing an innovative product for smart management of home photovoltaic power plants. By the end of the year, the test concept becomes a production mobile application.

2023
Celebrating 10 Years

We celebrated Favorlogic's tenth birthday in a wine cellar in Bavory. After ten years of gaining contracts only through recommendations, we finally decided to start actively seeking them. We thus establish a sales and marketing department.

2024
Research and Development

Together with Škoda Digital and the Technical University of Ostrava, we begin a research project on predictive diagnostics of rail vehicle components using machine learning and predictive modeling.

Together with Škoda Digital and the Technical University of Ostrava, we begin a research project on predictive diagnostics of rail vehicle components using machine learning and predictive modeling.

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