Flexion to use Series A to build sim-to-real, AI systems powering humanoids - The Robot Report

Flexion Robotics AG, a Zurich-based startup founded in 2024, has raised $50 million in Series A funding to develop a reinforcement learning and sim-to-real AI platform designed to power humanoid robots across various morphologies and tasks. The company leverages generative AI and large language models (LLMs) to move beyond brittle, task-specific robotic systems by enabling robots to perform reasoning, writing, and creative tasks autonomously. Flexion’s autonomy stack consists of three layers: a command layer using language models for common-sense reasoning and task decomposition; a motion layer featuring a vision-language-action model trained primarily on synthetic data and fine-tuned for real-world scenarios; and a control layer utilizing transformer-based, low-latency whole-body control with a modular skill library for rapid behavior composition. Flexion’s AI architecture, exemplified by its Reflect v0 system, integrates LLM and vision-language model agents for task scheduling and tool selection, a general motion generator for collision-aware trajectory planning,