Nervtech
Nervtech is a high-tech R&D company specializing in vehicle simulator technologies, biometric and cognitive driver evaluation, deep machine learning, and data integration. It develops advanced tools for driver training, automatic driver performance evaluation, and data collection using medical-grade sensors. The company collaborates with OEMs, Tier 1 suppliers, and autonomous vehicle system providers, and offers solutions for road safety, autonomous driving, and driver behavior analysis.
Industries
Nr. of Employees
small (1-50)
Nervtech
Ljubljana, Ljubljana Urban Commune, Slovenia, Europe
Products
Compact motion-based driving simulator
A compact, motion-capable driving simulator platform for synchronized multimodal data capture and realistic driver immersion; supports multi-axis motion, wide curved visual fields, configurable vehicle/environment parameters, and integration with physiological sensors.
Compact motion-based driving simulator
A compact, motion-capable driving simulator platform for synchronized multimodal data capture and realistic driver immersion; supports multi-axis motion, wide curved visual fields, configurable vehicle/environment parameters, and integration with physiological sensors.
Services
Simulator-based driver evaluation
In-person simulation sessions (30–60 minutes) assessing driving performance, reaction times, lane keeping, compliance and psychophysiological state using synchronized behavioral and physiological sensors (eye gaze, pupillometry, EDA, PPG, ECG).
Simulator sales and licensing
Provision of compact motion-capable driving simulators via hardware sales combined with per-hour / per-driver licensing and tiered service packages for training and evaluation.
Fleet training and driver risk programs
Tailored simulator-based training and evaluation for professional drivers to reduce accidents, insurance claims and fuel consumption while improving operational safety.
Autonomous vehicle testing and dataset generation
Driver-in-the-loop simulation and large-scale scenario generation for testing and validating autonomous driving algorithms, including creation of edge-case datasets and surrogate agent simulations.
Road design evaluation with human-in-the-loop
Digitalization of proposed road sections and human-in-the-loop simulation evaluation to identify safety issues and recommend design changes before construction.
Future Mobility Hub operations and multicultural data collection
Facility-based programs for evaluation and training to collect diverse driver behavior datasets and support testing and socialization of new mobility technologies.
Simulator-based driver evaluation
In-person simulation sessions (30–60 minutes) assessing driving performance, reaction times, lane keeping, compliance and psychophysiological state using synchronized behavioral and physiological sensors (eye gaze, pupillometry, EDA, PPG, ECG).
Simulator sales and licensing
Provision of compact motion-capable driving simulators via hardware sales combined with per-hour / per-driver licensing and tiered service packages for training and evaluation.
Fleet training and driver risk programs
Tailored simulator-based training and evaluation for professional drivers to reduce accidents, insurance claims and fuel consumption while improving operational safety.
Autonomous vehicle testing and dataset generation
Driver-in-the-loop simulation and large-scale scenario generation for testing and validating autonomous driving algorithms, including creation of edge-case datasets and surrogate agent simulations.
Road design evaluation with human-in-the-loop
Digitalization of proposed road sections and human-in-the-loop simulation evaluation to identify safety issues and recommend design changes before construction.
Future Mobility Hub operations and multicultural data collection
Facility-based programs for evaluation and training to collect diverse driver behavior datasets and support testing and socialization of new mobility technologies.
Expertise Areas
- Simulator-based driver assessment and training
- Multimodal physiological signal acquisition and analysis
- Driver-in-the-loop testing for autonomous systems
- Deep learning for driving behavior modeling
Key Technologies
- Multi-axis motion platforms
- Driver-in-the-loop simulation systems
- Eye-tracking and pupillometry
- Wearable physiological sensors (PPG, EDA)