Simteract

WE ARE SIMTERACT We started in 2014 as a software house specialized in training simulations. We have created professional simulators, like train driver simulator for US trainees. Thanks to that we have built basis of our current business, gained knowledge about simulations and technological proficiency needed for work with real data. Since 2018 our main focus is creating games. We are employing specialists with gaming experience and our team is now over 60 people strong. In everyday work we are using modern equipment, efficient ways of completing projects and our original technologies. Our gaming genre is premium category simulation games. Since 2021 our company has joined stock market. OUR GAMES We are an independent video game developer focusing on premium simulation games. We are currently working on two titles, keeping in mind that we value quality, not quantity of our products. We also cooperate with our international partners so that everyone from all over the world can enjoy our games. It is very important to us so that our games are available on multiple platforms. Since the very beginning of our project we are working not only on PC versions, but also on their console counterparts. We take great care so that quality of our games is the best possible one, on every platform, be it PC, PS4, PS5, Xbox One, Xbox Series S|X or Nintendo Switch. TECHNOLOGIES Everywhere possible we are taking advantage of our technological roots – professional simulators. We are putting great importance on innovative approach and modern tech – we are programming in C++ and Rust, and effects of our work in 3D we combine with Hudini Engine integrated with UE4. Our original techs allow us to create premium simulation games not only faster, but also cheaper than other studios. With every game we keep getting better – we can create 3D terrain from a flat picture, generate cities from open data, and buildings just from drafts. Our Traffic AI was used for training and testing of intelligent cars, and we are very proud of it.

Source: IGDB