GenGenAI

GenGenAI, founded in January 2022 by CEO Cho Ho-jin, is a technology firm specializing in synthetic data generation for artificial intelligence training. Cho, who holds a doctorate in computer science from POSTECH with a focus on video quality and restoration, established the company to address critical data scarcity issues in the AI industry. His academic background and subsequent seven years of research in vision AI technology at a tech startup laid the groundwork for GenGenAI's core mission.

The company develops solutions that use domain-specific generative AI to create high-quality, realistic synthetic data for training AI models. This approach is particularly valuable for sectors where real-world data collection is challenging, expensive, or time-consuming. GenGenAI asserts that its technology can decrease data collection time by up to 90% and reduce costs by over 50%. The firm primarily serves clients in the defense, automotive, and security/surveillance industries. For instance, in the automotive sector, it provides data for developing autonomous driving, advanced driver-assistance systems (ADAS), and driver monitoring systems to partners in Korea, Europe, and the United States. In defense, it collaborates with military organizations and companies like Korea Aerospace Industries (KAI) to generate data for training AI in target recognition and other advanced capabilities.

GenGenAI's product suite includes "GenGenData," which delivers tailored synthetic datasets, and "GenGenVision," which provides AI vision models pre-trained on this synthetic data. The company is also developing "GenGenStudio," a platform designed to allow customers to generate synthetic data themselves. This platform can create varied scenarios, such as different weather conditions, times of day, or rare events like wildlife on a road, which are difficult to capture in reality. The company has received significant industry recognition, including a CES 2025 Innovation Award for GenGenStudio and selection in the "2024 Defense Industry Innovation 100" initiative.

The company's potential was recognized early, securing seed investment from Naver D2SF and DSC Investment within three months of its inception. It has since raised a total of approximately $12.6 million, including a Series A round of about $8.9 million in March 2025 with participation from Korea Aerospace Industries (KAI). These funds are allocated to enhancing its technology, investing in GPU infrastructure, and expanding its team.

Keywords: synthetic data, generative AI, AI training data, computer vision, autonomous driving, ADAS, defense AI, security AI, data generation platform, AI development, machine learning data, video restoration, image processing, Cho Ho-jin, GenGenStudio, GenGenData, GenGenVision, data scarcity, AI modeling, automotive data, surveillance data, military AI, Korea Aerospace Industries, Naver D2SF