GenGenStudio

GenGenStudio is a platform that generates synthetic data based on domain-specific generative AI technology, providing high-quality data needed for AI training across various industries at a low cost. It is particularly specialized in the mobility and defense sectors. 1. High-Quality Synthetic Data from Small Datasets Learns the statistical characteristics and probability distributions of small training datasets to generate high-quality synthetic data with very similar properties (e.g., noise, color, sharpness, etc.). 2. Automated Data Generation and Quality Evaluation Generates synthetic data without human intervention, automatically suggesting the position and size of objects, and automatically evaluates the quality of generated synthetic data, filtering out low-quality data and selecting only high-quality results. 3. Cost Efficiency and High-Quality Data Provision While actual data collection and training require significant time and expense, GenGenStudio provides high-quality synthetic data that closely resembles real data at a lower cost and faster rate. 4. Privacy Issue Resolution Collecting real data poses a risk of privacy infringement, but synthetic data is free from privacy concerns. 5. Major Application Areas (1) Mobility Sector: Provides diverse data including seasons, weather, time, and regional backgrounds necessary for autonomous driving AI training, along with data for pedestrians, vehicles, animals from various countries, and traffic signs for exceptional scenarios. Realistic virtual human data of various ethnicities, ages, gender, and facial expressions can be used for driver monitoring system AI training. (2) Defense Industry: Generates and supplies data for defense-related scenarios such as naval vessels and aircraft. This helps reduce data collection time and cost, and shortens AI development time and cost. 6. Traction (1) Mobility Sector - US Autonomous Driving Company P: Supplied autonomous driving synthetic data with 99.5% accuracy for AI development, achieving $250,000 in overseas sales. - Global Car Manufacturer: Discussing collaboration on developing an auto-labeling tool (ISLA System) for data collection platforms. - Global Car Manufacturer: Discussing collaboration with the autonomous driving perception development team. (2) Defense Industry - Company H: Supplied and verified the efficiency of synthetic data for naval and aircraft scenarios. - Company H, Republic of Korea Army: Conducted technology exchange meetings to understand domain adaptation and customer needs. - Company H: Discussing the creation and supply of synthetic data for intelligent control systems and naval target systems. - Company K: Discussing the creation and supply of synthetic data needed for aircraft systems. 7. Business Model - Data Sales (GenGenData): Business model based on selling generated synthetic data. - AI Solution Supply (GenGenVision): Business model for developing customized AI solutions for clients. - Data Platform (GenGenStudio): A subscription-based business model that provides platform tools for customers to generate their own data 8. Patent Status Approximately 20 patents related to GenGenStudio have been filed.