NeuraDrive™
Vehicle Dynamics & Driver Monitoring
Licensable Edge AI for Automotive & E-Mobility.
Near 100% Accuracy, Production-Proven in the
Extreme Conditions of Professional Racing.
NeuraDrive uses your existing IMU data to detect driving style, crashes, road conditions, turns, comfort metrics, and more. All processing runs on your microcontroller with sub-millisecond execution time.
Driver Behaviour
• Driving Style Classification
• Event Statistics
• Acceleration Events
• Braking Events
• Turn Detection
Vehicle Analytics
• Crash Detection
• Operating Condition
• Tire Condition
• Comfort Metrics
• CO2 Emission Estimation
• Roll/Pitch/Yaw
Road Intelligence
• Inertial Navigation
• Trajectory Estimation
• Road Surface Analysis
• Pothole Detection
• Bump Detection
Custom Development
Need an insight we don’t offer?
We can build it.
Examples of What You Can Do with NeuraDrive
DRIVING STYLE MONITORING
Driving Behavior
Analyzes acceleration, braking and steering to characterize typical patterns and detect deviations in driving style over time.
ROAD SURFACE RECOGNITION
Navigate without GNSS
Maintains accurate vehicle positioning using inertial signals when GNSS is unavailable or degraded.
TRAJECTORY ESTIMATION
Continuous Path Estimation
Derives lane-level vehicle trajectories from inertial sensor streams, optimized for real-time execution on edge devices.
CRASH DETECTION
Detect Impacts in Real-Time
Identifies collisions and impact severity using inertial sensor data, enabling timely incident detection without the need for specialized high-G sensors.
Use Cases
NeuraDrive has been adopted across a wide range of mobility and transportation applications where the focus is safer, more efficient and more intelligent movement.
Customers rely on NeuraDrive to turn motion data into relevant driving insights. Some use it to improve driver safety and operational performance, enabling risk assessment, fleet optimization and support for insurance or regulatory compliance.
In micromobility and emerging transportation modes, NeuraDrive enables reliable inertial navigation and trajectory estimation where traditional positioning systems fall short, such as indoors and underground. NeuraDrive also provides IMU-based vehicle dynamics and state estimation for ADAS and autonomous driving systems, working standalone or complementing other sensors for fail-safe operation.
INERTIAL NAVIGATION
FLEET MANAGEMENT
ADAS & AUTONOMOUS DRIVING
MICROMOBILITY
INSURANCE COVERAGE
VEHICLE STATUS
BIOMEDICAL APPLICATIONS
FITNESS & SPORT
FIELD MAINTENANCE
WAREHOUSING & LOGISTIC
LONE WORKERS
CONSTRUCTION SITES
Why Choose NeuraDrive
NeuraDrive was originally developed for a motorcycle safety system where both false positives and false negatives could be fatal. Our customer’s product became the world’s first in its category, launched into a blue ocean market, and gave them exclusive leadership for several years. It remains their best-seller today.
This life-critical application demanded absolute accuracy with no room for error. That same precision now powers every NeuraDrive deployment, from professional motorsports to commercial fleets.
No Room for Errors
Proven in life-critical systems demanding absolute reliability.
Fast to Market
From kickoff to edge AI on your device in weeks instead of months.
No Cloud, No Tuning
Everything runs locally with complete privacy. No retraining, no setup, no personal data leaves the device.
Expert Support
Direct access to the NeuraDrive engineers, with deep technical expertise and responses typically within 24 hours.
What Makes NeuraDrive So Accurate?
NeuraDrive achieves near-100% accuracy by combining physics-informed AI with expert tuning. Our engineers refine the ML models using real-world driving data from autonomous vehicles, commercial fleets, and even professional racing through an expert-in-the-loop approach.
To ensure reliable performance in diverse conditions, NeuraDrive applies a multi-stage processing pipeline. This layered approach handles sensor limitations, filters false positives, and delivers consistent real-time intelligence in production environments.
Pre-Processing
Raw sensor data is first filtered through precision sensor fusion to prepare it for downstream analysis.
Edge AI
The filtered data is then analyzed on-device using ML models refined through expert-in-the-loop training. During this stage, NeuraDrive detects and classifies vehicle dynamics and driving behavior in real time.
Edge Post-Processing
Finally, validation logic verifies the insights and refines the output to ensure it remains consistent, accurate & aligned with real-world vehicle behavior in real time.
NeuraDrive Key Features
Precision Edge AI
Embedded algorithms that deliver accurate insights even under the toughest driving conditions
Works With Your Existing Hardware
Designed to run accurately using data from standard inertial sensors, eliminating the need for specialized or high-cost hardware.
Crash detection can run on 16G accelerometers, while maintaining reliable event classification.
Delivered as a portable, hardware-agnostic C library for straightforward deployment.
Small Footprint
An IMU-based solution that analyzes linear acceleration and angular velocity sampled at 50 Hz. Designed for MCU-friendly deployment with low computational load and power consumption to support week-long device operation.
Flash memory occupation
23.16 KB
RAM memory occupation
2.32 KB
Timing [clock hits] 6DOF
Average: 9263, Maximum: 10090
Timing @ 16MHz [ms] 6DOF
Average: 0.579, Maximum: 0.631
Device
Measured with a Muse board, mounting a STM32WB55 MCU @16MHz
