Top 50 Autonomous Vehicle Platform in Europe

driveblocks offers a Mapless Autonomy Platform that utilizes a combination of AI algorithms and sensor fusion to enable heavy-duty vehicles to perceive their environment without relying on high-definition maps. This technology reduces costs associated with pre-mapping and constant updates, while enhancing operational efficiency in applications such as mining, agriculture, and logistics.

Develops a full-stack driverless vehicle platform, ConICAV™, that retrofits or custom-builds autonomous vehicles for industrial and commercial fleets in ports, airports, and yards. By integrating AI and machine learning, it improves asset management, operational efficiency, and sustainability, enabling fleets to operate with zero human drivers.

AOPTeam develops a universal neural network that processes raw sensor data to make real-time driving decisions in various environments. This technology enhances safety and reliability in autonomous driving, making it accessible and affordable for multiple industries.

TTTech Auto develops software and hardware solutions for driver assistance and autonomous mobility, specifically designed for series production programs in the automotive industry. Their technology enhances vehicle safety and efficiency by enabling real-time data processing and decision-making for automated driving systems.

Chassis Autonomy develops advanced actuation systems for autonomous vehicles, providing the underlying technology for precise motion control. Their solutions enable reliable and responsive operation of autonomous mobility platforms.

Arriver develops software technologies for automotive safety services, utilizing Qualcomm's Snapdragon Ride™ Platform to provide advanced driver assistance systems (ADAS) powered by AI. Their solutions enhance vehicle connectivity and real-time data analytics, addressing the need for improved safety and user experience in automated driving.

Veecle provides a software platform that enables automakers to design and scale software architectures for software-defined vehicles, integrating legacy systems with new functionalities. This solution addresses the challenge of rapidly evolving vehicle technologies by offering a modular framework that supports efficient development and compliance with safety standards.

Stellantis provides integrated mobility solutions and automotive services to enhance vehicle connectivity and efficiency. The company addresses the challenges of urban transportation and fleet management by offering data-driven insights and optimized logistics for automakers.

Kinnovia develops software-defined vehicle (SDV) solutions that enable vehicles to adapt and improve through software updates. By integrating IoT frameworks and leveraging AI/ML, Kinnovia provides predictive insights and automation for smarter, safer, and more connected mobility ecosystems. Their technology aims to transform industries through intelligent, data-driven solutions.

Coretura provides a standardized, open Smart Vehicle Platform and operating system for commercial vehicles. This infrastructure enables OEMs to develop and deploy differentiating digital vehicle functions, facilitating over-the-air updates and accelerating the transition to software-defined vehicles.

The startup develops augmented reality software that integrates all vehicle functions for software-defined vehicles, including navigation and head-up displays. This technology enables automotive manufacturers to create reliable, safety-critical applications that enhance user experience and operational efficiency.

Xavveo develops photonic radar sensor technology that provides a 360-degree view for autonomous vehicles, enabling real-time decision-making to enhance safety. Additionally, their sensors improve factory automation by delivering accurate data that increases operational efficiency and reduces errors.

The startup develops autonomous flying vehicles integrated with smart infrastructure to improve urban transportation efficiency for civil and defense applications. Their system facilitates autonomous cargo delivery, casualty evacuation, and search and rescue operations, providing clients with reliable and eco-friendly mobility solutions.

The startup develops autonomous robots that perform efficient striping for parking lot layouts using precision-guided technology. This method enables striping companies to complete projects faster and with fewer resources, significantly increasing productivity while minimizing environmental impact.

RemotiveLabs provides an automotive software development platform that enables OEMs to manage their software architecture and development environment effectively. By utilizing modern software patterns, the platform reduces complexity and enhances collaboration, accelerating the vehicle manufacturing process.

Automotive Transformation Group provides a global, scalable solution for automated vehicle lifecycle management, utilizing advanced data integration and analytics to enhance operational efficiency. This platform addresses the complexities of managing vehicle data and consumer interactions throughout the ownership lifecycle, enabling automotive retailers to make informed decisions and improve customer engagement.

The startup offers a vehicle management system that connects fleet operators with service providers through automated workflows and real-time communication, enhancing decision-making for electric vehicle fleets. This platform optimizes vehicle utilization by streamlining management processes across various service providers and vehicle types.

Avrios offers a cloud-based fleet management platform that centralizes vehicle data and automates operational workflows. It provides actionable insights and reporting to optimize fleet performance, ensure compliance, and reduce costs.

Secondmind provides a cloud-native optimization engine that utilizes Active Learning to enhance the design and calibration processes for automotive engineers. This technology reduces design simulation time and the number of iterations needed, enabling faster development of energy-efficient vehicles while minimizing reliance on costly prototypes.

Provides a B2B micro-mobility platform that uses autonomous electric vehicle fleets equipped with AI and IoT technologies to transport people, particularly those with reduced mobility, in environments like airports, hospitals, and museums. This solution improves accessibility and independence for users while offering facilities a scalable, efficient transportation system.

Autovio offers a full-stack platform that combines a mobile app and business services for driving schools, enabling students to book driving lessons, access theory materials, and track their progress efficiently. The platform addresses the challenges of scheduling, cost transparency, and communication in the driving education industry, ensuring a streamlined experience for both learners and instructors.

Clevon develops and manufactures lightweight, fully electric autonomous robot carriers designed for last-mile delivery in urban environments. These driverless vehicles reduce labor costs by 80-90% while ensuring timely and safe package delivery, supported by a proven track record of zero safety incidents over three years of operation on public roads.

Provides a data management platform that uses event-based triggers to collect and process only the most relevant subsets of data from autonomous systems, transforming raw big data into actionable "Smart-Data." This approach reduces data overload, bridges the simulation-reality gap, and ensures compliance with privacy regulations, enabling engineering and operational teams to optimize performance and collaboration.

The startup operates a car rental platform that enables users to book and unlock premium vehicles through a mobile app, eliminating the need for traditional rental desks. By offering a paperless rental process, it reduces time and complexity for both private individuals and professionals seeking a seamless vehicle rental experience.

Zenseact develops advanced safety software for autonomous vehicles, specifically designed for Volvo Cars, to enhance road safety through real-time data analysis and machine learning algorithms. The technology addresses the critical issue of traffic accidents by improving vehicle decision-making and response times in complex driving environments.

Develops an augmented reality-based in-vehicle onboarding application for mobile devices and infotainment systems, utilizing machine learning and object recognition to provide context-sensitive guidance and feature explanations. This solution reduces driver confusion and enhances safety by offering real-time tips, alerts, and a simplified text-based manual, ensuring users understand and effectively use advanced vehicle functions from the moment they start driving.

Otoqi is a vehicle delivery platform that utilizes real-time tracking and multi-channel booking to streamline the logistics of delivering vehicles to customers across Europe. By managing over 15,000 connected fleet vehicles, Otoqi enhances operational efficiency for automotive professionals while ensuring timely vehicle transfers within 48 hours.

Milla develops and operates Level 4 autonomous vehicles for on-demand and shared transportation, integrating them into existing transport networks to enhance mobility efficiency. The company addresses the need for sustainable and flexible transport solutions in urban, peri-urban, and rural areas, reducing carbon footprints while improving accessibility.

The startup develops autonomous unmanned aerial vehicles (UAVs) that operate independently of satellite navigation and radio control. This technology enables reliable drone operations in environments where traditional navigation systems are unavailable or compromised.

The startup operates an autonomous racing competition featuring self-driving electric vehicles that utilize a standardized chassis and powertrain. Teams develop real-time computing algorithms and AI technologies for automated driving, allowing fans to engage with the dynamics of human-machine interaction in motorsport.

Avular develops modular drone and mobile robotics platforms, including the Vertex One drone and Origin One robot, equipped with advanced autopilot technology for autonomous navigation. Their solutions enable the rapid integration of custom sensors and the automation of existing machinery, addressing the need for efficient and precise robotic applications in various industries.

AVES Reality develops AI-driven software that generates geo-referenced, photorealistic 3D maps from satellite and aerial imagery, enabling the creation of virtual environments for simulation and training. This technology provides a scalable solution for autonomous vehicle development and other applications requiring realistic 3D representations of real-world locations.

The startup develops software tools that validate the safety performance of automated vehicles by evaluating autopilot decision-making and assessing risk through simulated scenarios. Their platform provides measurable safety guarantees, enabling clients to ensure secure driving experiences.

Provides autonomous outdoor vehicle parking and logistics solutions using mobile robots and intelligent storage management software. This system increases parking capacity, reduces operational costs, and streamlines vehicle handling for industries like valet services and car logistics.

DeepScenario provides high-accuracy traffic data through a camera-agnostic platform that utilizes advanced computer vision to detect and track moving objects in 3D with centimeter precision. This technology enables companies to enhance the development of intelligent driving systems by delivering critical insights from real-world traffic scenarios.

Kopernikus Automotive develops AVP Type 2 technology, which transforms existing serial production cars into autonomous vehicles by integrating smart infrastructure and external AI-based perception systems. This approach enhances operational efficiency and reduces costs in logistics, repair, and parking facilities by enabling remote automated driving capabilities.

The startup offers a fleet management platform that integrates underutilized vehicles with cloud connectivity, enabling efficient car-renting services. By providing clients with customizable parameters and brand image options, the platform promotes resource utilization, alleviating urban congestion and lowering emissions.

Persival provides sensor simulation tools and services for autonomous system perception development. They offer a range of sensor models and verification software to ensure simulation accuracy against real-world data.

The startup offers a cloud-based platform that integrates dashcam footage, incident detection, and electric vehicle hardware to enhance operational efficiency for urban shared mobility operators. By providing tailored mobility vehicle solutions, the platform enables clients to improve user experiences and streamline fleet management.

The startup operates a car subscription service platform that enables users to book vehicles online with no long-term commitment and includes free mileage. This service provides a transparent and flexible mobility solution, addressing the need for hassle-free transportation options in a market often burdened by rigid leasing agreements.

The startup offers a mobility platform that manages vehicle fleets through real-time tracking, maintenance scheduling, and automated booking processes. This technology reduces manual workload for fleet owners and operators while providing actionable insights through dashboards and reports on usage and operational efficiency.

The startup provides a unified workflow for searching and analyzing multimodal datasets, including camera, radar, and lidar data, to identify trends and data gaps. Their tools enable teams to visualize scenarios and automate safety validation, enhancing the development of spatial intelligence in various applications.

Aidrivers retrofits terminal trucks, cranes, and tractors with AI-enabled autonomous systems that utilize real-time 3D mapping and machine learning for efficient, automated material handling in industrial environments. The technology enhances operational efficiency and safety while minimizing energy waste, addressing the need for sustainable practices in autonomous mobility.

The startup offers a vehicle purchasing platform that connects users with leading online car-buying brands to receive instant offers based on their vehicle's condition. This platform enables both businesses and consumers to efficiently advertise cars and maximize their sale price through transparent, data-driven insights.

The startup is developing an emission-free, fully autonomous transportation system that utilizes high-precision sensors and intelligent fleet management to optimize traffic flow for individually scheduled trips. This system integrates seamlessly into urban environments, reducing congestion and freeing up space for pedestrians and green areas.

The startup has developed a mobility platform featuring vehicles with a transparent partition and seating for six, powered by electric, plug-in hybrid, and petrol hybrid engines. This platform provides eco-friendly transportation options that prioritize passenger comfort, safety, and accessibility.

Elmo Remote utilizes road-legal teledriving technology to remotely deliver electric vehicles directly to customers, optimizing resource use in the car-sharing sector. This system addresses the inefficiencies of traditional vehicle delivery methods, enabling a contactless ordering experience that reduces environmental impact while serving a growing customer base.

The startup develops an autonomous mobility system that integrates with existing public transport networks, utilizing cloud-based technology to provide real-time movement data. This system enhances urban mobility by enabling seamless navigation for users, improving access to transportation options and reducing congestion.

Sensible 4 develops the DAWN™ autonomous driving software platform, enabling industrial vehicles to operate autonomously in all weather conditions without the need for road markings or external infrastructure. This technology addresses the inefficiencies of manual operation in industrial environments, enhancing productivity and safety in both closed and open road settings.

Repli5 utilizes generative AI to create synthetic camera data for training computer vision models, enabling the development of robust perception systems in autonomous vehicles. This approach significantly reduces the time and cost associated with gathering real-world training data, particularly for edge cases and scenarios with limited available data.