{"id":"818ff7dd-5aa4-4a07-851f-1163b0379a53","slug":"flexion-brain","name":"Flexion Brain","description":"Flexion Robotics' autonomy stack for humanoid robots spanning command, motion, and control layers. European company raised $50M Series A in November 2025.","brainType":"foundation-model","isOpen":false,"maturityStage":"pilot","architecture":"Multi-layer autonomy stack for humanoids","reviewStatus":"reviewed","sources":[{"url":"https://flexion.ai/news/flexion-raises-50m-to-build-the-brain-of-humanoid-robots-at-scale","date":"2025-11-20","title":"Flexion Raises $50M to Build the Brain of Humanoid Robots","sourceName":"Flexion"},{"url":"https://flexion.ai/news/flexion-reflect-v1.0","date":"2026-06-29","title":"Flexion Reflect v1.0: The Path Towards Long-Horizon Autonomous Humanoid Work","sourceName":"Flexion Robotics"},{"url":"https://flexion.ai/","title":"Flexion Robotics","sourceName":"Flexion Robotics"},{"url":"https://flexion.ai/news/niantic-spatial-flexion-and-nvidia-closing-the-sim2real-gap-for-humanoids","date":"2026-07-20","title":"Niantic Spatial, Flexion, and NVIDIA: Closing the Sim2Real Gap for Humanoids","sourceName":"Flexion Robotics"}],"keyFacts":[{"label":"Three-layer autonomy stack (primary Flexion)","value":"Flexion's Nov 20 2025 Series A post by CEO Nikita Rudin describes a reinforcement learning and sim-to-real platform for humanoid robots with a Command Layer (language models for task breakdown and grounding), Motion Layer (vision-language-action model trained mainly on synthetic data), and Control Layer (transformer-based low-latency whole-body control with a modular skill library). The company says it is building the brain, not the body ([Flexion](https://flexion.ai/news/flexion-raises-50m-to-build-the-brain-of-humanoid-robots-at-scale))","sourceUrl":"https://flexion.ai/news/flexion-raises-50m-to-build-the-brain-of-humanoid-robots-at-scale"},{"label":"Series A terms (primary Flexion)","value":"The same post says Flexion raised $50 million Series A from DST Global Partners, NVentures (NVIDIA's venture arm), redalpine, Prosus Ventures, and Moonfire, following $7.35 million seed from Frst, Moonfire, and redalpine. Use of proceeds listed: expand Zurich R&D, scale compute and robot fleets, establish a U.S. presence, and accelerate commercialization. Treat amounts and investors as company-stated ([Flexion](https://flexion.ai/news/flexion-raises-50m-to-build-the-brain-of-humanoid-robots-at-scale))","sourceUrl":"https://flexion.ai/news/flexion-raises-50m-to-build-the-brain-of-humanoid-robots-at-scale"},{"label":"Reflect robotics intelligence platform","value":"Flexion describes Reflect v1.0 as a robotics intelligence platform for long-horizon humanoid work, combining mission reasoning, perception, physical execution, and recovery ([Flexion Reflect v1.0](https://flexion.ai/news/flexion-reflect-v1.0)).","sourceUrl":"https://flexion.ai/news/flexion-reflect-v1.0"},{"label":"Whole-body autonomy stack","value":"Flexion says Reflect combines a vision-language mission controller, a VLA motion layer, reinforcement learning, whole-body control, and FlexComm runtime components ([Flexion Reflect v1.0](https://flexion.ai/news/flexion-reflect-v1.0)).","sourceUrl":"https://flexion.ai/news/flexion-reflect-v1.0"},{"label":"RGB sim-to-real pipeline","value":"Flexion says its collaboration with Niantic Spatial and NVIDIA uses RGB-camera-derived digital twins, NVIDIA Isaac Sim, and Isaac Lab to train humanoid navigation policies and transfer them from simulation to physical environments ([Flexion, Niantic Spatial, and NVIDIA](https://flexion.ai/news/niantic-spatial-flexion-and-nvidia-closing-the-sim2real-gap-for-humanoids)).","sourceUrl":"https://flexion.ai/news/niantic-spatial-flexion-and-nvidia-closing-the-sim2real-gap-for-humanoids"},{"label":"Sim-to-real claim","value":"Flexion reports that its RGB-only policies transferred zero-shot from the simulated digital twin to the physical environment with reliability comparable to conventional depth-based methods; this is a company-stated research result ([Flexion, Niantic Spatial, and NVIDIA](https://flexion.ai/news/niantic-spatial-flexion-and-nvidia-closing-the-sim2real-gap-for-humanoids)).","sourceUrl":"https://flexion.ai/news/niantic-spatial-flexion-and-nvidia-closing-the-sim2real-gap-for-humanoids"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-08-09T14:35:38.737Z","updatedAt":"2026-09-29T20:41:07.537Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/flexion-brain","url":"https://registry.deploy.report/brains/flexion-brain","name":"Flexion Brain","description":"Flexion Robotics' autonomy stack for humanoid robots spanning command, motion, and control layers. European company raised $50M Series A in November 2025.","identifier":"818ff7dd-5aa4-4a07-851f-1163b0379a53","applicationCategory":"foundation-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"pilot","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":4,"primary_source_types":[]}}}