Smart routing and POI optimization
Teaching a vehicle the most commonly used routes and points of interest with artificial intelligence in automotive
Reinforcing communication among navigation systems, human machine interfaces, and location platforms to inform drivers about hazardous road situations
Enabling lane detection and recognition of pedestrians, traffic, and road signs based on deep learning methodology
Predicting road conditions in advance to make data-driven decisions based on smart analytics and big data
Predictive vehicle maintenance
Collecting data from in-vehicle units and applying predictive analytics to alert drivers about urgent or planned maintenance
We work extensively with location data platforms and manage comprehensive SDKs
We’re one of the few companies in Ukraine with an in-house R&D department that runs experiments with neural networks for image recognition
Our automotive experts have a ton of experience in smart navigation using predictive analytics algorithms
Our computations for route analysis and optimization yield the best routes based on current traffic conditions and surrounding infrastructure
Success storiesView all case studies
AI-based predictive maintenance software
We’re building and supporting a comprehensive monitoring system for car diagnostics and real-time notifications to drivers. The software aims to help dealers schedule vehicle maintenance and handle large volume of vehicle data, including data on the performance of individual vehicle parts. To analyze this data smartly, we proposed introducing consumer IoT solutions and machine learning algorithms as well as an online support system with high fault tolerance.
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Handwriting recognition software for safe driving
We’re building an innovative solution to recognize drivers’ handwritten text. The custom keyboard application supports several modes of user input, understands finger-written text, and lets drivers communicate efficiently with their car infotainment system without taking their eyes off the road. Thanks to the system’s integration with user information, drivers can enter a destination, points of interest on the map, change climate control settings, turn on their favorite music, and call or message their contacts ─ all with the twist of a finger.
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3D object detection for autonomous vehicles
Modern solutions for self-driving cars use costly Lidar hardware to obtain three-dimensional information about the position of objects. We discovered a more cost-effective approach to acquiring the same data with stereo camera equipment and artificial intelligence and machine learning algorithms that simulate Lidar data outputs. We achieved a significant increase in the accuracy of image-based object detection with deep learning algorithms by changing the 3D depth representation to a Lidar simulation. Hence, this solution can be integrated into ADAS systems in autonomous vehicles.
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ADAS solution for electric vehicles
Our client, a Silicon Valley startup designing ambitious fully electric hypercar concepts, needed expert help implementing a navigation component and a digital horizon solution. Pulling accurate map and traffic data from the cloud, this digital horizon solution would allow cars to view the road a few kilometers ahead and react preemptively for better safety, efficiency, and comfort. We helped our client enrich an electric vehicle’s braking, steering, lighting, and power supply systems for safer and more efficient driving.
Learn more ADAS solution for electric vehicles