Top 50 Ai For Automotive in Europe

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.

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.

DC Connected offers a fully automated platform for vehicle maintenance that utilizes artificial intelligence and connectivity to provide real-time diagnostics and repair guidance through a virtual technician. This solution addresses the shortage of qualified technicians by enabling efficient troubleshooting of complex automotive systems, reducing time and costs for manufacturers, insurers, and vehicle owners.

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.

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.

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.

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.

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.

InsureVision provides an AI platform that analyzes forward-facing camera footage to deliver contextual driving risk assessment, known as "enviromatics." This technology understands the driving environment and the intent of other road users, enabling more accurate driver risk profiling for insurance underwriting and enhanced road safety features.

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.

indie develops automotive semiconductors and software platforms that integrate edge sensors, including LiDAR, radar, and computer vision, to enhance Advanced Driver Assistance Systems (ADAS) and in-cabin user experiences. Their technology addresses the need for improved driver safety and vehicle electrification, enabling seamless connectivity and advanced functionality in electric and autonomous vehicles.

The startup offers a fully digital motor assistance platform that utilizes machine learning, artificial intelligence, and natural language processing to enhance roadside assistance, repair, and maintenance services. By providing a self-service option for customers and improving the efficiency of road rescuers, the platform addresses delays and inefficiencies in the automotive support industry.

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.

Teraki provides a suite of software development kits that utilize Edge-AI and machine learning to preprocess data from existing sensing devices, enhancing the quality of information for autonomous mobility applications. This technology enables the efficient integration of advanced functionalities in insurance, maintenance, and autonomous driving systems, improving safety and operational performance.

Perciv AI develops AI-driven radar perception solutions that enhance the capabilities of radar sensors, enabling reliable autonomous systems with performance comparable to LiDAR, even in adverse weather conditions. This technology reduces the reliance on expensive sensors, improving safety and accessibility for automated vehicles and robotics across various environments.

COMPREDICT utilizes AI-based virtual sensors to extract actionable vehicle insights from existing onboard sensor data, enabling enhanced vehicle health monitoring and predictive maintenance. This technology reduces the need for additional hardware sensors, lowering costs while improving maintenance efficiency and vehicle utilization.

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.

The startup develops a video analytics platform that utilizes artificial intelligence and machine learning to enhance traffic insights for state transport agencies. By providing real-time forecasts on road traffic and parking occupancy, the platform addresses inefficiencies in road transport management.

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.

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.

Fleevo is an AI-powered data integration and analytics system designed specifically for commercial fleets, enabling real-time data collection and analysis from various vehicle sources. This technology enhances operational efficiency by providing actionable insights that reduce costs and improve fleet management.

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.

Peregrine.ai develops AI-powered computer vision systems that transform standard dashcams into smart perception devices, enhancing road safety by providing real-time traffic insights. The technology also generates valuable geo-location data by analyzing visual information while ensuring the anonymization of personal data, addressing the need for privacy in mobility solutions.

Tractable offers an AI-powered visual assessment platform that automates automotive damage appraisal for insurers, repairers, and recyclers. Its computer vision technology rapidly analyzes images to provide precise damage evaluations, accelerating claims processing, optimizing repair planning, and improving salvage operations.

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.

HaleyTek develops Android-based automotive software platforms for infotainment systems in Volvo and Polestar vehicles, enabling seamless navigation, media playback, and voice assistant functionality. The company addresses the need for integrated software solutions that enhance user experience and connectivity in modern vehicles.

Monk.ai provides an AI-powered vehicle inspection solution that automates damage detection by analyzing images for visible vehicle damages with pixel-level precision. This technology enables automotive and insurance companies to generate detailed condition reports in seconds, significantly reducing inspection time and improving operational efficiency.

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.

AWAKE Mobility provides a data-driven platform that integrates real-time vehicle diagnostics and predictive maintenance for commercial fleets, enabling remote fault detection and proactive issue resolution. This technology minimizes vehicle downtime and enhances maintenance efficiency, resulting in significant operational cost savings for bus operators.

Humanising Autonomy develops predictive AI models through its HDAS SDK, which translates human behavior into real-time road safety alerts for drivers and vulnerable road users. This technology reduces false alerts, enhances driver confidence, and improves overall road safety, ultimately decreasing the risk of collisions and saving resources.

DriveX Technologies provides an AI-powered platform for automated vehicle inspections, specializing in windshield damage assessment and pre-CASCO checks. Its mobile-guided image capture and AI analysis deliver rapid damage reports and repair recommendations, streamlining claims processing and underwriting for insurance and automotive businesses.

Jigcar is an AI-driven logistics stock optimization platform designed for car dealerships, enabling efficient vehicle movements and strategic stock placement across multiple sites. By reducing logistics costs by 10% and cutting days-to-sell by two days, Jigcar enhances operational efficiency and improves the customer experience for dealer groups and transport providers.

The startup offers a customer communication platform tailored for the automotive industry, enabling car dealerships and garages to generate instant personalized responses and manage customer interactions effectively. By integrating appointment scheduling, invoicing, and payment processing, the platform enhances operational efficiency and helps businesses increase customer retention and satisfaction.

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.

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.

Silo.AI develops AI-driven solutions for smart devices, autonomous vehicles, and smart cities, utilizing machine learning and computer vision to enhance operational efficiency and user experience. The company addresses the need for scalable AI integration in various industries, enabling organizations to optimize product development and improve decision-making processes.

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.

Provizio develops a five-dimensional sensory platform that utilizes AI software and advanced imaging radar technology to predict and prevent accidents in real-time. This system enhances automotive safety by providing rapid hazard detection and actionable warnings, significantly reducing the risk of collisions.

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.

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.

ThingCo develops a fully encrypted telematics platform utilizing Amazon Web Services IoT serverless technology and AI-driven voice for real-time in-car communication. The platform enhances insurance and automotive services by providing precise data collection and analysis, addressing inefficiencies in traditional telematics systems.

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.

roboGaze develops a modular Driver Support System (DSS) that utilizes AI-driven distraction and drowsiness detection to monitor driver alertness and readiness. This technology enhances road safety by identifying potential hazards and fatigue signs, ensuring drivers remain focused and aware while operating their vehicles.

Raiqon provides an AI platform that enhances requirements and test management in automotive R&D by automating analysis and authoring processes, ensuring compliance with quality guidelines. The platform integrates with existing tools, reduces costs, and accelerates time to market by improving efficiency in managing complex requirements and testing activities.

The startup develops AI-driven software that automates the design and training of neural networks for artificial vision applications. This platform enables companies to deploy optimized vision models that achieve high accuracy while minimizing power consumption.

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.