This article provides an overview of ten companies offering new advanced driver assistance systems (ADAS) solutions. These solutions integrate technologies to improve vehicle safety and autonomous driving capabilities.
The new ADAS companies advance traffic simulation training, sensor degradation mitigation, and radar-based sensors. Each company addresses challenges in autonomous and semi-autonomous driving systems to focus on safety, reliability, and efficiency.
Their solutions highlight the evolving role of advanced driver assistance systems in transportation, fleet management, and automotive industries.
Global Startup Heat Map highlights 10 ADAS Startups to Watch
Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 5M+ startups & scaleups globally alongside 20K+ technologies & trends, we identified 3500+ ADAS startups.
The Global Startup Heat Map below highlights the 10 ADAS startups you should watch in 2025 as well as the geo-distribution of 3500+ startups & scaleups we analyzed for this research.
According to our data, we observe high startup activity in Southeast Asia and the United States, followed by Europe. The top 5 Startup Hubs for ADAS are Jakarta, London, New York City, South Jakarta, and Singapore.
Discover New ADAS Solutions to Watch in 2025
We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics.
These 10 ADAS startups work on solutions ranging from sensor degradation mitigation and radar-based sensors to lane detection in snow and traffic simulation.
- Starkenn – ADAS for Commercial Vehicles
- CalPro – ADAS Diagnostics
- obsurver – Sensor Degradation Mitigation
- Revision Autonomy – Lane Detection in Snow
- cogniBIT – Traffic Simulation Training
- Matt3r – Scenario Discovery Platform
- XENSE Vision – 3D Traffic Insights
- Veldar – Radar-based ADAS Sensor
- Polymath Robotics – Retrofit ADAS System
- Lume Robotics – Autonomous Navigation System
1. Starkenn
- Founding Year: 2021
- Location: India
- Solution: ADAS for Commercial Vehicles
Starkenn provides an AI-powered ADAS for commercial vehicle applications.
The startup’s products include the Starkenn Safe, a radar-based collision warning system that provides real-time alerts in all weather conditions.
Starkenn Brake Safe is another product that integrates automatic emergency braking (AEB) to prevent collisions, actively mitigating accident risks.
The Starkenn Attention system monitors driver behavior using computer vision and AI to issue alerts to avoid accidents due to human error.
Stark-I is the cloud-based telematics fleet management system that analyzes important data of the trips, alerts, location, incident videos, and more to optimize driving behavior.
These solutions offer a proactive approach that reduces accidents and enhances the efficiency of vehicle management systems.
2. CalPro
- Founding Year: 2019
- Location: USA
- Solution: ADAS Diagnostics
CalPro develops ADAS IdentiScan, a patented diagnostic tool for the collision repair industry.
The technology operates through iOS, Android, and web-based applications and connects to vehicles via vehicle identification number (VIN) entry or OBD tool.
ADAS IdentiScan decodes VINs to identify confirmed and potential ADAS features to present critical vehicle information such as year, make, model, and trim details.
The system guides users through a vehicle inspection wizard, which determines ADAS features affected by damage and repair areas.
It generates a report highlighting ADAS features requiring calibration, pre- and post-scan requirements, and additional calibrations needed to meet manufacturer specifications.
The tool streamlines the repair process to reduce liability, supplements, and research time while increasing revenue and profitability per vehicle.
3. obsurver
- Founding Year: 2019
- Location: Germany
- Solution: Sensor Degradation Mitigation
obsurver develops a system for detecting and mitigating sensor degradation in autonomous vehicles.
The technology utilizes an on-the-fly monitoring system integrated into vehicles and a workshop-based protocol for periodic technical inspections.
This dual monitoring analyzes ADAS performance and identifies potential degradation issues in sensors such as cameras, RADAR, and LiDAR.
The platform also links critical sensor performance parameters with the functional domain, which provides early warning of poor system performance.
This allows for preemptive maintenance and reduces the risk of accidents.
4. Revision Autonomy
- Founding Year: 2020
- Location: USA
- Solution: Lane Detection in Snow
Revision Autonomy develops advanced computer vision solutions for lane detection in snowy conditions.
The startup’s lane detection in snow (LDIS) utilizes proprietary algorithms to analyze camera data and identify drivable lanes on snow-covered roads.
The technology detects available lane lines and tire tracks and creates a detectable driving region even when traditional lane markings are obscured.
LDIS integrates with existing ADAS cameras and hardware systems without the addition of new sensors.
The startup’s LDIS enhances safety by providing crucial lane information to drivers and vehicle systems, which reduces accidents in winter driving scenarios.
Revision Autonomy’s technology improves the reliability and effectiveness of autonomous and semi-autonomous vehicles in adverse weather conditions.
5. cogniBIT
- Founding Year: 2020
- Location: Germany
- Solution: Traffic Simulation Training
cogniBIT develops AI-based traffic simulation software to support the safe development of autonomous driving systems.
The startup utilizes a neuro-cognitive approach to realistically simulate the behavior of road users, including motorists and pedestrians.
It models human sensory and decision-making limitations such as reaction times, limited fields of view, and distractions.
The system generates dynamic, interactive simulations that adapt in real time to vehicle actions.
This eliminates the need for pre-generated trajectories and enables the testing of critical scenarios like pre-crash events or driver handovers.
cogniBIT’s models are validated against real-world data, which ensures explainable and reproducible results while allowing automated generation of diverse traffic scenarios.
The solution also integrates into existing simulation platforms to enhance the safety and reliability of autonomous driving by addressing unpredictable human behavior in traffic simulations.
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6. Matt3r
- Founding Year: 2021
- Location: Canada
- Solution: Scenario Discovery Platform
Matt3r develops a real-world scenario discovery platform for the safe development of AVs.
The startup’s technology utilizes edge AI hardware and software to transform raw driving data into simulation-ready scenarios, which enables the efficient testing and validation of automated driving systems.
The platform works by collecting and analyzing data from various vehicle sensors, including cameras, radar, and LiDAR, to create a digital representation of diverse driving situations.
The platform processes large volumes of real-world driving data to provide AV developers with cost-effective access to a wide range of relevant scenarios.
Matt3r’s algorithms also identify and recreate challenging or rare driving events that are crucial for thorough AV testing.
7. XENSE Vision
- Founding Year: 2021
- Location: South Korea
- Solution: 3D Traffic Insights
XENSE Vision develops a real-time 3D AI traffic insights platform for complete road user analysis.
The technology uses sensors, particularly 3D-measuring stereo cameras, mounted in urban infrastructure to position, track, and categorize all vehicles and vulnerable road users within traffic scenes.
The system processes this data and creates a digital representation of traffic situations to enable real-time monitoring and statistical analysis.
The startup’s platform detects occluded objects and transmits this information with minimal latency to connected and autonomous vehicles to enhance their perception capabilities.
The technology also allows for the collection and storage of months of continuous traffic data, which allows for the identification of critical situations and the creation of simulation scenarios for training autonomous driving systems.
The solution thus improves traffic flow, reduces congestion, and enhances safety in urban environments while supporting the development of more efficient and safer autonomous vehicles.
8. Veldar
- Founding Year: 2021
- Location: USA
- Solution: Radar-based ADAS Sensor
Veldar develops the point cloud radar system (PCRS), a 4D imaging radar technology for autonomous vehicle applications.
The system utilizes ViSight Auto, an automotive radar, to provide high-resolution data including range, azimuth, elevation, and velocity information in popular point cloud formats.
PCRS operates through a gigabit Ethernet connection which delivers data in industry-standard formats such as ROS messages, PCD, and PLY.
The technology offers flexible configurations that allow users to select optimal range, resolution, frame rate, and data rate combinations for specific applications.
The startup’s radar system is quick to set up and provides immediate data viewing through an included application.
This radar-based ADAS sensor enables autonomous vehicle applications requiring high-resolution, all-weather vision capabilities, contributing to the advancement of safe and reliable autonomous driving technologies
9. Polymath Robotics
- Founding Year: 2021
- Location: USA
- Solution: Retrofit ADAS System
Polymath Robotics develops an autonomy software platform for retrofitting off-highway vehicles with ADAS.
The technology integrates with existing industrial vehicles, including tractors, bulldozers, and yard trucks, to enable autonomous navigation and operation.
The startup’s system utilizes sensors, including LiDAR, cameras, and GPS, to provide perception, localization, path planning, and motion control capabilities.
The software incorporates machine learning algorithms for obstacle detection and avoidance, which ensure safe operation in various environments.
The startup’s solution is vehicle-agnostic which allows for compatibility with a wide range of industrial equipment and sensor configurations.
The platform offers an API for easy integration with existing software systems to enable rapid development and deployment of autonomous functionalities.
Polymath Robotics accelerates the adoption of autonomous technologies in industrial settings to improve efficiency, safety, and productivity across multiple sectors, including agriculture, construction, and logistics.
10. Lume Robotics
- Founding Year: 2019
- Location: Spain
- Solution: Autonomous Navigation System
Lume Robotics develops an autonomous navigation system for various vehicle types, including trucks, buses, and industrial vehicles.
The Lume autonomous mobility system integrates hardware and software to enable vehicles to operate without human intervention.
It utilizes a combination of sensors, including LiDAR, radar, IMU, GPS, and vehicle odometry, to generate real-time maps and precisely locate the vehicle within mapped areas.
The system observes the 360-degree environment around the vehicle, which detects obstacles such as pedestrians, vehicles, animals, and potholes, while also recognizing traffic elements like traffic lights, pedestrian crossings, speed bumps, and signs.
The startup’s solution creates detailed maps, navigates autonomously while avoiding static and moving obstacles, and performs integrated tasks such as route planning, motion planning, and vehicle control.
Discover All Emerging Automotive Startups
The ADAS startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Automotive Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2025!
