The vast knowledge we have accumulated since 2001 is now applied to current projects. For more details of projects completed by our team, feel free to contact us at [email protected] or submit an online form.
Job Scheduler to Automate Manual Planning at Media Company
A system allows to track all the processes within an enterprise, score their efficiency against four major criteria, and visualize the results in comprehensive diagrams. Each diagram parameter can be customized to visualization needs.
A system allows to track all the processes within an enterprise, score their efficiency against four major criteria, and visualize the results in comprehensive diagrams. Each diagram parameter can be customized to visualization needs.
VoIP Application for Calls, Photos, and Drawing: 4x Increase in App Downloads
The developed application allows for making VoIP calls and taking pictures during the call. The pictures can be shared with the team, enabling users to mark up via a drawing tool and making comments in real time.
VR Distorted Visuals Simulator for Drivers: 87% User Engagement Rate
The application runs on Android devices transmitting distorted visuals to glasses of virtual reality. Is used at special trainings to improve skills of safe driving.
System for Isochronic, Multi-Angle Video Capturing and Processing
A video capturing/processing system that allows for several devices to shoot the video simultaneously from different angles and stream it to the tablet, granting a user remote control of the process.
Entertainment Application for Air Travelers, on and off Board
Onboard entertainment system based on “bring your own device” approach allows those traveling on medium-haul flights to enjoy live TV programs, video on demand (VoD), hotel booking, car reservations, weather forecasts, and much more.
Developing a System That Improves Customer Service of S7 Airlines
A high-load system extracting personal passenger data and building unique profiles to improve the airline’s service. With tuned prioritization algorithms, the system now identifies the company’s clients with better precision.
The mobile app with machine learning offers users to launch rockets by shaking his/her phone, play against friends, and compare scores. As the users play the game, the system continues to polish the gesture-recognition algorithm.
