Korea Development Bank

Seadronix develops AI-driven autonomous marine navigation systems. These systems aim to enhance safety and efficiency by reducing human intervention, utilizing advanced danger prediction algorithms based on diverse learning data sources.

Pablo Air is a company focused on developing advanced unmanned mobility solutions that leverage swarming technology for various applications. It specializes in long-distance drone delivery services and aims to enhance unmanned delivery and logistics systems. The company offers a range of services, including swarm flight, acrobatic formation flight, and integrated ground control, which allow clients to monitor and manage multiple drones in real time. Additionally, Pablo Air provides intelligent information acquisition and analysis tools, as well as multipurpose drone services, catering to diverse needs in sectors such as military, logistics, and entertainment, including drone art shows and urban air mobility.

Solidvue develops advanced LiDAR sensors for precise 3D spatial recognition. The company’s sensors deliver reliable time-of-flight measurements in challenging and noisy environments and integrate critical features such as multi-event recording, on-chip histogramming, and inter-LiDAR filtering into a single chip. These capabilities enable customers to add autonomous sensing to their products with improved detection accuracy.

Autonomous a2z is a Korea-based developer of AI-driven autonomous driving solutions and related services. Its technology covers perception of surrounding conditions, planning of driving strategies, and automatic vehicle control, and it operates as a driving mobility platform offering autonomous driving services with judgment, recognition, and control capabilities. The company supports testing and commercialization of self-driving technology for vehicles including specialized trucks and tractors. Founded in 2018, Autonomous a2z is headquartered in Gyeongsan-si with additional offices in Anyang-si and Sejong City, South Korea.

EVAR develops autonomous robotic charging systems for electric vehicles. Their technology enables convenient, hazard-aware charging through license plate or QR code recognition.

Specializes in developing advanced LiDAR perception software for autonomous vehicles and robots. Its technology enables infrastructure-based autonomous driving, featuring controlled area navigation and obstacle detection across varied environments.

Floatic develops robotic solutions for automating warehousing processes. Their system uses autonomous robot movement technology and multi-robot control software to enhance efficiency in logistics, particularly for e-commerce warehouses.

SpringCloud provides solutions and services for autonomous driving mobility as well as big data. It is made up of experts from Hyundai Mobis, Hyundai Autron, Image Next, Automobile Convergence Technology Institute, Korea Railroad Research Institute, and other organizations, and it has excellent teamwork in terms of technology and sales.

Founded in 2018, MORAI specializes in developing simulation platforms for autonomous vehicle testing. Its core offering is a three-dimensional virtual environment that mirrors real-world road conditions, enabling the testing and enhancement of autonomous driving algorithms. The company also provides datasets to support advanced algorithms.

Specializes in developing advanced LiDAR perception software for autonomous vehicles and robots. Its technology enables infrastructure-based autonomous driving, featuring controlled area navigation and obstacle detection across varied environments.

SOS Lab is a specialized company that develops and manufactures LiDAR technology, which utilizes lasers to measure distances and shapes of surrounding environments. The company focuses on creating innovative solutions for self-driving cars, highlighted by its hybrid LiDAR system, the SL-1. This long-range system combines traditional motor scanning with a solid-state MEMS mirror, offering a more affordable option compared to existing products in the market. In addition to the SL-1, SOS Lab provides two other LiDAR products, the GL-3 for factory automation and robotics, and the TL-3 for security and automatic doors. The company aims to enhance its offerings by integrating hardware-based sensors with AI-driven object recognition and tracking technologies, using 3D point cloud data. SOS Lab collaborates with automotive electronics partners and global semiconductor firms to advance its next-generation Solid-State LiDAR. With research and development centers in Seoul and Gwangju, alongside business operations in Silicon Valley, SOS Lab seeks to expand its global presence and contribute to the self-driving and advanced driver-assistance systems (ADAS) markets.

Specializes in developing advanced LiDAR perception software for autonomous vehicles and robots. Its technology enables infrastructure-based autonomous driving, featuring controlled area navigation and obstacle detection across varied environments.

TIE, founded in 2016 and based in Seongnam, Gyeong-Gi, is a manufacturing company dedicated to revolutionizing the mobility of goods and people through innovative drone technology. The company specializes in developing unmanned aerial vehicles (UAVs) and personal aerial vehicles (PAVs) to address the challenges of traditional ground transportation. TIE is committed to creating a cost-effective, safe, and reliable drone delivery service utilizing its in-house developed fully autonomous technology. With a team of experts in aviation, robotics, artificial intelligence, computer vision, machine learning, and logistics, TIE aims to transform daily transportation and enhance mobility solutions. The company's focus on hardware development and engineering projects positions it as a pioneer in next-generation mobility, offering smarter and more stable drone platforms for various applications.

ENERZAi is a Seoul-based artificial intelligence technology company that develops hardware- and software-enabled AI solutions. It provides MCU, CPU, and application processor services to enable AI on edge devices, including smart sensors, wearable devices, and robotics. The technology supports autonomous supervision, monitoring, and control of physical processes with real-time processing, and is designed to help customers migrate from expensive GPU instances by reducing model size, inference time, and operating costs. ENERZAi's offerings span software and lightweight hardware platforms for embedded applications in industrial, consumer, and automation contexts.