Flexion Robotics develops an AI-driven autonomy platform for humanoid robots to enhance automation. The company uses simulated environments and reinforcement learning to train robots for different tasks. Its software stack integrates reinforcement learning, language-based reasoning, vision-language-action models, and transformer-based whole-body control to enable robots to understand instructions, adapt to new environments, and perform complex tasks without extensive human teleoperation. The company trains its models in high-fidelity simulators to generate synthetic data at scale, reducing reliance on human demonstrations.