Top 50 Autonomous Vehicle Platform in Asia

The startup develops autonomous vehicle systems that utilize driverless software for mapping, localization, perception, navigation, and vehicle control. These systems enable vehicles to operate autonomously for applications such as first and last-mile transportation, logistics, and utility services, enhancing urban mobility and efficiency.

RoshAi develops a vehicle-agnostic autonomy stack that includes a retrofit drive-by-wire system and Level 3 autonomy kit, enabling traditional vehicles to achieve advanced autonomous driving capabilities. The company addresses the need for reliable and customizable solutions in the autonomous vehicle industry, facilitating the integration of ADAS and self-driving technologies across various vehicle architectures.

The startup develops a connectivity platform that utilizes cellular bonding and dynamic encoding to enable high-speed, low-latency transmission of video, audio, and control data for teleoperating autonomous vehicles. This technology allows clients to remotely control autonomous trucks, delivery robots, and last-mile delivery vehicles with reliability and ease.

The startup develops a visual intelligence platform that employs artificial intelligence and signature-based representation structures with unsupervised learning to enhance autonomous driving applications. This technology aims to improve vehicle safety and reduce casualties on global roadways by optimizing advanced driver assistance systems and localization.

RideFlux develops a full-stack software solution for autonomous driving systems, utilizing advanced algorithms and machine learning to ensure safe and efficient transportation. The company addresses the need for reliable autonomous transport services, significantly reducing the risk of accidents and improving mobility options for users.

42dot develops software-defined vehicles (SDVs) that utilize AI to create an autonomous urban transportation operating system. The company addresses inefficiencies in mobility by connecting vehicles, roads, and transport data to enable frictionless, self-operating transportation solutions.

Cognata offers a digital twin-based simulation platform that generates synthetic data and augments real-world datasets to enhance the training, testing, and validation of autonomous vehicles and advanced driver-assistance systems (ADAS). This technology addresses the challenge of insufficient and diverse data for effective development and certification of automated driving systems, accelerating their time to market.

MORAI provides a digital twin simulation platform that utilizes high-definition mapping and a physics engine to create realistic test environments for autonomous vehicles, urban air mobility, and maritime systems. This technology enables developers to efficiently validate and optimize their autonomous systems through scalable, cost-effective simulations based on real-world data.

Neubility provides a Robot as a Service platform featuring self-driving delivery robots equipped with camera-based autonomous navigation technology. The company automates urban logistics by enabling efficient and reliable delivery services in densely populated areas, addressing the challenges of last-mile delivery in complex environments.

The startup develops autonomous driving technology that utilizes advanced algorithms for vehicle perception and control, enabling real-time assessment of driving conditions. This technology provides car manufacturers with essential tools to commercialize specialized vehicles, such as cleaning trucks and container trucks, enhancing operational efficiency in various sectors.

Baidu provides an integrated AI ecosystem comprising a cloud‑based AI Open Platform with over 270 pre‑trained model APIs for vision, speech, and language, the DuerOS voice‑assistant SDK for multimodal interaction, and the Apollo autonomous‑driving stack offering perception, planning, and safety‑critical tools. These services run on Baidu’s Kunlun AI chips and the PaddlePaddle deep‑learning framework, delivering scalable, production‑grade performance and pay‑as‑you‑go pricing for developers, enterprise IT teams, and automotive OEMs.

Swaayatt Robots develops self-driving technology utilizing reinforcement learning to navigate complex and unpredictable traffic environments without the need for high-definition mapping. Their solutions aim to enhance the safety and efficiency of autonomous vehicles, making connected driving technology more accessible and cost-effective.

Provides LiDAR-based sensing solutions for autonomous vehicles, smart infrastructure, and trucking, using single-sensor technology to create precise 3D spatial and object recognition. This approach improves road safety and operational efficiency by delivering accurate real-time environmental data without relying on predictive algorithms. Products include VueOne for automotive, VueTwo for infrastructure, and VueTruck for autonomous trucking applications.

Seoul Robotics develops Lidar perception software for autonomous vehicle marshaling and parking, enabling efficient first-mile logistics. Their infrastructure-based solution enhances the operational capabilities of self-driving cars and robots, addressing the challenges of vehicle coordination in complex environments.

KargoBot develops a hybrid autonomous trucking solution that combines L2 driver-assisted vehicles with L4 fully autonomous trucks, enabling efficient logistics operations with a reduced crew requirement. The technology addresses the challenges of long-haul freight transport by enhancing scene processing capabilities and improving safety metrics significantly.

T2 utilizes Level 4 autonomous driving technology to operate large trucks for trunk transportation services, addressing the critical shortage of drivers in the logistics industry. This solution enhances delivery stability, productivity, and safety while contributing to environmental sustainability.

BOS Semiconductors develops semiconductor technologies, including Autonomous Driving System-on-Chip (SoC) and High-Performance Computing (HPC) Mega-Microcontroller Units (MCUs), specifically for the automotive industry. Their solutions address the need for enhanced processing power and connectivity in vehicles, enabling advancements in autonomous driving and vehicle-to-everything (V2X) communication.

Derq provides a patented AI platform that integrates data from IoT traffic cameras and sensors to deliver real-time analytics for road user detection and traffic management. This technology enhances road safety and optimizes traffic flow, enabling cities to effectively deploy and manage connected and autonomous vehicle applications.

Cortica provides an autonomous AI platform that converts visual, audio, radar and time‑series sensor streams into compressed neural signatures using self‑learning, brain‑inspired networks. The system trains on unlabelled production data, runs inference on low‑power hardware, and adapts continuously to avoid bias, allowing partners in manufacturing, automotive, security, and healthcare to deploy domain‑specific perception and analytics without building foundational models.

Foretellix provides a hyperscale verification and validation (V&V) platform that automates the testing process for Automated Driving Systems (ADS) and Advanced Driver-Assistance Systems (ADAS). The platform enables engineers to ensure safety compliance and operational design domain (ODD) coverage, facilitating the large-scale deployment of these technologies.

Keenon provides autonomous mobile robots that perform service tasks such as food delivery, UV‑C disinfection, and visitor reception in indoor commercial venues. The robots use dual‑Lidar SLAM navigation, modular payload bays, and a cloud‑based fleet management platform with open APIs for integration into POS, EHR, and building‑automation systems. This enables operators in hospitality, healthcare, and corporate campuses to automate high‑frequency tasks, reduce labor costs, and maintain consistent service.

Delivers.ai develops proprietary camera-based autonomous delivery robots that utilize sensor fusion technology to navigate urban environments for the contactless delivery of food, groceries, and parcels. This solution addresses the inefficiencies and high costs associated with traditional last-mile delivery methods, enabling faster and more cost-effective service.

Develops autonomous off-road robots equipped with AI-driven robotic vision and neural network-based control systems, enabling rapid adaptation to real-world environments. These robots are designed for industrial and agricultural applications, improving efficiency and reducing operational challenges in outdoor settings.

Lume Robotics develops an autonomous mobility system that integrates LiDAR, radar, and GPS technologies to enable vehicles to navigate and operate without human intervention. This solution significantly reduces accidents by up to 94% and lowers operational costs by decreasing labor expenses by up to 75%.

The startup develops a contactless wireless charging system specifically designed for autonomous electric vehicles, utilizing high power output and modular technology for easy retrofitting. This solution addresses the need for flexible and safe charging infrastructure in diverse real-world environments, enhancing operational efficiency for clients.

Neusoft Reach develops a software platform based on NeuSAR and big data to create integrated software-defined vehicle (SDV) products and services, including autonomous driving and electric vehicle power systems. The company addresses the need for reliable and scalable solutions in the rapidly evolving automotive ecosystem, enabling manufacturers to transition to software-defined vehicles efficiently.

Horizon Robotics develops energy-efficient computing solutions for advanced driver assistance systems (ADAS) and autonomous driving (AD) in passenger vehicles, utilizing proprietary hardware and software like the Horizon Journey™ platform. Their technology enhances vehicle safety and driving experience by enabling smart driving capabilities across various scenarios, addressing the need for reliable and efficient automotive automation.

Cosin provides cost-effective, modular autonomous mobile robots (AMRs) designed for industrial and logistical applications. Their platform simplifies the deployment and management of automation, enabling businesses to enhance operational efficiency and throughput.

XPeng provides a fully integrated electric vehicle platform that combines a proprietary Turing AI chip and vehicle operating system for advanced driver assistance and OTA updates. The company also operates a nationwide network of over 2,000 liquid‑cooled super‑fast chargers and offers comprehensive after‑sales services, including long‑term warranties, remote diagnostics, and certified used‑car programs. Flexible financing, leasing, and fleet solutions complete its end‑to‑end mobility ecosystem.

The startup develops three-dimensional map data management technology specifically for autonomous driving applications. This technology provides high-precision, realistic digital environments that enhance safety, reduce traffic accidents, and improve mobility for individuals with transportation limitations.

This startup provides last-mile delivery services using autonomous robots and drones. Their platform manages a fleet of these vehicles to offer on-demand cargo delivery, aiming to reduce urban traffic congestion and emissions.

Provides a plug-and-play operating system for fifth-generation robots, enabling autonomous operation, self-learning capabilities, and fleet or swarm coordination. The no-code/low-code integration simplifies deployment and customization, reducing development time and complexity for robotic systems in various industries.

The startup operates an autonomous driving mobility service that utilizes artificial intelligence to manage vehicle routing, user interactions through a calling app, and operational oversight via a control site for managers. This technology reduces transportation costs and enhances operational stability for users in the mobility sector.

The startup develops a peer-to-peer delivery platform that integrates robotics automation and data analytics for autonomous final-mile delivery. This technology enables clients to reduce operational costs and improve delivery efficiency while promoting sustainability in urban environments.

SingAuto develops electric vehicles and a logistics ecosystem that incorporates autonomous driving and AI to enhance operational efficiency and reduce carbon emissions in freight transport. The company addresses the challenges of safety and sustainability in the logistics industry by providing a comprehensive solution for intercity and last-mile delivery.

RITS develops autonomous vehicle technologies, including customized 77GHz millimeter-wave radar and adaptive control algorithms for unstructured road conditions, to enhance the safety and efficiency of commercial vehicles. The company addresses the challenges of vehicle navigation and obstacle detection in adverse weather and complex environments, providing solutions such as automatic emergency braking and blind spot detection systems.

Moovex provides an Autonomous Dispatch and Route Optimization platform that utilizes AI to dynamically generate optimal fleet management plans based on real-time data and demand scenarios. This technology enhances operational efficiency for various mobility services, including rideshare and logistics, by automating asset assignment and route mapping, resulting in significant cost savings and improved service reliability.

The startup develops computer vision and artificial intelligence technology for unmanned aerial vehicles, enabling autonomous flights with real-time visual situation awareness. Their platform facilitates navigation, landing, and object tracking without reliance on human operators or GPS, allowing operations beyond visual line of sight at any time of day or night.

The startup develops 5G NR-V2X communications technology to enable real-time connectivity between vehicles and infrastructure, aiming to eliminate traffic accidents and achieve net-zero emissions. Their offerings include a cost-efficient test platform and smartphone devices that facilitate reliable communication for autonomous mobility solutions.

The startup develops a platform that provides simulation technologies for autonomous systems, focusing on scenario factories and sensor data repositories. Their tools facilitate the design, data annotation, and testing of deep learning models, enhancing scene perception across various sensor inputs in the automotive industry.

MiniEye provides a modular perception SDK that fuses camera, lidar, and radar data to deliver real‑time 3D object detection, tracking, and semantic segmentation with sub‑0.1 m accuracy and <30 ms latency on automotive‑grade hardware. The platform includes weather‑adaptive models, ISO 26262 ASIL‑D safety validation tools, and OTA update capabilities, enabling OEMs and Tier‑1 suppliers to integrate robust autonomous‑driving perception without extensive R&D.

Neuronics provides real-time data analytics and control solutions for autonomous vehicles, UAVs, and drone fleets, utilizing transmission modules that conform to NATO’s STANAG 4609 standards for video and metadata. The platform operates on various devices, including Nvidia Jetson and cloud services, enabling efficient monitoring and configuration of drone operations.

AutoL develops high-resolution LiDAR sensors specifically designed for autonomous vehicles, utilizing a patented inclined mirror structure to enhance detection range and resolution while minimizing size and cost. The technology addresses the limitations of traditional sensors by providing robust, automotive-grade solutions that meet the durability requirements for SAE Level 3 and 4 autonomous driving applications.

MobiLib Platform is a Software Defined Vehicle Application Development Platform that simplifies in-vehicle signal processing from both built-in and add-on sensors, providing a virtual workspace with toolboxes and open-source libraries tailored for mobility applications. This platform accelerates development and integration by enabling agile methodologies, allowing developers to efficiently create and deploy mobility solutions.

The startup develops autonomous robotic delivery vehicles equipped with artificial intelligence, capable of transporting loads exceeding that of standard vehicles. This technology enhances logistics efficiency by enabling rapid and seamless goods transfer on both micro and macro scales.

Turing Drive develops autonomous driving systems that integrate high-precision mapping, perception, and control technologies to enhance vehicle navigation and operational efficiency. The company provides modular solutions for various applications, significantly reducing the development resources required for manufacturers while improving safety and user experience in complex environments.

Unity Drive develops Level 4 autonomous vehicles designed for logistics automation, utilizing advanced positioning and cloud-based dispatch technologies to ensure efficient and safe operations. Their solutions address the need for reliable, contactless transportation in urban environments, enhancing delivery efficiency and reducing operational costs for businesses.

ADUS develops autonomous driving technology and safety services that enhance vehicle operation and passenger security. Their solutions include advanced driver assistance systems and automated driving platforms, addressing the need for safer and more efficient transportation.

Provides a fleet of Level 4 autonomous delivery robots equipped with a behavior-based contextual navigation engine and multi-sensor fusion for safe, efficient operation in crowded indoor and outdoor environments. These robots enable 24/7 hyperlocal deliveries of packages, food, and medical supplies, reducing labor costs and carbon footprints while offering contactless, secure delivery through mobile QR code access.

Ruby.AI develops AI-powered robotic systems that autonomously connect various vehicle types to their energy sources using machine learning vision technology. This infrastructure is essential for the efficient operation of autonomous fleets, including robotaxis and e-logistics, addressing the need for reliable energy-docking solutions.