GenGenAI

Seoul, Republic of Korea · ≈30 employees · gengen.ai

Real-world data for edge cases, defense targets, and autonomous driving is scarce, classified, or too dangerous to collect. Traditional 3D simulations try to help but drop AI accuracy by 20–30% due to the sim-to-real gap. GenGenAI solves the data crisis. Powered by our proprietary Mixture-of-Experts (MoE) architecture, we generate 100% sensor-realistic synthetic data (EO/IR, SAR, LIDAR, Radar) with pixel-accurate labels built in. We bridge the sim-to-real gap and slash data-to-deployment timelines by 90% (from months to 10–20 days). Core Offerings: - GenGenDataTM: Tailored, high-quality synthetic images/videos for rare scenarios and edge cases. - GenGen VisionTM: High-performance customized vision AI validated with synthetic data. - GenGen StudioTM: An intuitive platform to create, transform, and edit synthetic data. Key Applications: - Defense & Aerospace: High-altitude ISR, counter-UAS, satellite imagery, and hostile USVs. - Mobility & ADAS: Multi-sensor simulation (RGB, LIDAR, Fisheye) and GDPR-compliant IR video for Driver Monitoring Systems (DMS). - Surveillance & Industry: Corner-case generation for industrial safety and AI-powered CCTV. Why GenGenAI?: - +10% AI Accuracy: Benchmarked and validated against real datasets. - Zero Labeling Overhead: Automated, simultaneous generation of raw images and ground-truth labels. - 90% Faster Deployment: Reduces data collection and modeling from 6–12 months down to 10–20 days. - Top-tier Expertise: Driven by a team of 30+ AI/CV PhD