Global Startup Heat Map highlights 10 Autonomous Vehicle Startups to Watch in 2023
Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 3 790 000+ startups & scaleups globally, we identified 425 Autonomous Vehicle startups. The Global Startup Heat Map below highlights the 10 autonomous vehicle startups you should watch in 2023 as well as the geo-distribution of all autonomous vehicle startups & scaleups we analyzed for this research. Based on the heat map, we see high startup activity in the USA and Europe, followed by India. These autonomous vehicle startups work on solutions ranging from robot fleet management and vehicle teleoperation to driverless electric vehicles and autonomous vehicle security.
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As the world’s largest resource for data on emerging companies, the SaaS platform enables you to identify relevant technologies and industry trends quickly & exhaustively. Based on the data from the platform, the Top 5 Autonomous Vehicle Startup Hubs are in New York City, London, San Francisco, Bangalore & Los Angeles. The 10 hand-picked startups highlighted in this report are chosen from all over the world and develop solutions for driverless electric vehicles, omnidirectional environment sensing, vehicle autonomy software modules, and autonomous vehicle security.
10 Autonomous Vehicle Startups to Watch in 2023
Autonomous vehicles have been a rapidly growing trend in recent years, and 2023 is a significant year for the automotive industry. This year is witnessing several exciting advancements in the field of autonomous vehicles, including the rise of driverless electric vehicles and autonomous delivery robots. The adoption of full-stack perception modules and robot fleet management is increasing the safety and efficiency of autonomous vehicles, while vehicle autonomy software modules are revolutionizing the way we interact with our cars. Autonomous vehicle fleets and infrastructure are becoming more prevalent, and with that, the need for robust security measures. Vehicle data labeling and vehicle teleoperation are playing a crucial role in training and managing autonomous vehicles, and omnidirectional environment sensing is enhancing the capabilities of autonomous vehicles.
- Turing Motors – Driverless Electric Vehicles
- Robeff Technology – Autonomous Delivery Robots
- Tyriad Technologies – Full-Stack Perception Modules
- Vanilla Robotics – Robot Fleet Management
- driveblocks – Vehicle Autonomy Software Modules
- Mozee – Autonomous Vehicle Fleets & Infrastructure
- Vehiqilla – Autonomous Vehicle Security
- Segments.ai – Vehicle Data Labeling
- GetUgo – Vehicle Teleoperation
- MultiplEYE – Omnidirectional Environment Sensing
Turing Motors enables Driverless Electric Vehicles (EV)
Japanese startup Turing Motors manufactures self-driving EVs and autonomous solutions. It deploys large-scale language models (LLMs)-based AI for advanced judgments. It operates autonomously using sensors and high-precision 3D data of the surrounding area. The startup provides automated driving kits for existing vehicles and automated driving software. This helps the automobile and transport industry to switch to a smarter experience at a reduced cost. Turing Motors offers AI-based autonomous driving solutions for improving the driving experience and road safety.
Robeff Technology makes Autonomous Delivery Robots
Turkish startup Robeff Technology develops autonomous robotic vehicles for food and retail deliveries. It uses an embedded advanced driver-assistance system (ADAS) and driverless vehicle system to perform indoor and outdoor last-mile deliveries efficiently and securely. The startup’s product line includes RBF-ESC200, an electronic speed controller, and RBF-DBW40, a single-phase bidirectional steer-by-wire and brake-by-wire control unit. Robeff Technology’s torque sensor interface offers better efficiency and faster response times for safe autonomous control. This reduces the cost of in-house delivery operations for various industries, including food and retail.
Tyriad Technologies builds Full-Stack Perception Modules
Tyriad Technologies is a US-based startup that utilizes frequency-modulated continuous wave light detection and ranging (LiDAR) sensors for autonomous vehicles. Pulse is the startup’s AI-based cloud infrastructure that enables vehicles to leverage information collected from other vehicles in the network and make informed driving decisions. It uses an IEC 60825-enabled laser and dual-axis scanning mirror that offers long-range and dynamic surrounding detection for full-stack vehicle autonomy. Tyriad Technologies enables auto original equipment manufacturers (OEMs) to develop, test, and release autonomous vehicles quickly.
Vanilla Robotics simplifies Robot Fleet Management
Czech Republic-based startup Vanilla Robotics develops an autonomous robotics platform. It offers an iPad app for robot control and a web application for robot fleet management. It leverages its occupancy map to help robots detect and avoid obstacles in the path and allow industries to deliver payloads or parcels. The startup’s vision-based point cloud autonomous navigation, in mapped areas, reduces the need for sensors and improves navigational accuracy inside industrial spaces. Vanilla Robotics also offers autonomous robot navigation on city pavements and closed areas through open source as well as customized development.
driveblocks develops Vehicle Autonomy Software Modules
German startup driveblocks develops and integrates modules into the software stack and hardware components of vehicles to achieve safety and performance targets. It utilizes decision-making algorithms to analyze and predict the movement of vehicles to provide safe and continuous operation in mixed-traffic environments. The startup also offers a ready-to-deploy module for generating models which enables object and drivable space detection for motion planning and control. driveblocks’ software modules facilitate autonomous driving and automation solutions in the commercial vehicle sector.
Mozee advances Autonomous Vehicle Fleets & Infrastructure
US-based startup Mozee streamlines autonomous vehicle fleet and infrastructure to simplify mass mobility and public transport. It uses stereo cameras, LiDAR sensors, and spatial data with sensor placement to provide a 360-degree view. This allows vehicles to detect and perceive objects in all directions and also provides an overlapping field of coverage. Mozee’s solution enables self-driving in electric cars while ensuring temperature control and increased visibility to adapt to changing traffic patterns.
Vehiqilla improves Autonomous Vehicle Security
Canadian startup Vehiqilla aids fleet incident management and cyber governance for autonomous vehicle fleets. It offers in-vehicle secure architecture (IVSA) to OEMs and suppliers to ensure secure and effective vehicle functionality. The startup enables connected and autonomous vehicles (CAVs) to communicate with multiple objects through vehicle-to-everything (V2X) technologies. This include real-time vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V), and vehicle-to-pedestrian (V2P) monitoring. Vehiqilla helps fleet managers track vehicle cybersecurity and send alerts about threats, vulnerabilities, or breaches using ECU data.
Segments.ai facilitates Vehicle Data Labeling
Belgian startup Segments.ai uses 2D and 3D data labeling to create better datasets for autonomous vehicles. The startup offers image segmentation using its Superpixel and Autosegment technologies to label objects accurately for monitoring vehicle autonomy. Additionally, it offers a 3D point cloud labeling tool with labeling interfaces that facilitates real-time decision-making for changing traffic environments. Segments.ai provides precise data labeling for the automotive sector to enhance autonomous vehicle safety.
GetUgo provides Vehicle Teleoperation
GetUgo is a Latvian startup that manufactures teleoperations hardware and software solutions to enable remote control of vehicles. It uses cryptographically secure end-to-end communication to deliver teleoperation services with low latency even on existing 4G networks. The startup offers safe public operations in autonomous cars and shuttle buses. It also promotes driverless operations in the logistics and mobility industries in the form of delivery robots. GetUgo enables remote management of small and large distributed fleets to alleviate driver shortages.
MultiplEYE enables Omnidirectional Environment Sensing
South Korean startup MultiplEYE provides a software package for sensing the surroundings of mobile robots and autonomous vehicles. The startup’s robot sensors for real-time depth sensing and localization recognize surrounding obstacles and the robot’s self-position for autonomous operations. It deploys a robot operating system (ROS)-integrated ultra-wide field of view (FOV) lenses and a deep neural network. These calculate depth estimation of the environment and recognize drivable spaces. MultiplEYE uses environmental sensing technologies to improve indoor and outdoor mobility for the automobile, retail, and delivery industries.
Discover All Emerging Automotive Startups
The automotive 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 2023!
