Physical AI Startup RLWRLD Raises $26M to Train Robot Foundation Models in Real Factories

Seoul-based RLWRLD raised $26 million in Seed 2 funding, bringing its total seed capital to $42 million. Unlike most robotics AI trained in clean lab settings, RLWRLD's foundation models are trained using multimodal data collected directly inside real factories, warehouses, and service environments — exposing them to crowded spaces, variable lighting, human interaction, and imperfect conditions that simulations struggle to replicate. The company is executing proof-of-concept projects with CJ Logistics and Lotte in Japan and South Korea, progressing from MOUs into joint industrial validation phases. Investors include Headline Asia, Z Ventures (Yahoo Japan–LINE), Kakao Investment, and Hanwha Asset Management. RLWRLD's approach addresses a fundamental bottleneck in deploying robots at scale: models that work in simulation often fail in the messy real world.