The first AI that
understands the physical world.
One physics-native platform, applicable wherever AI interacts with the physical world. Genuine Physical AI, grounded by governing physics - deterministic, consistent, and validated. Providing outcomes that are accurate, reliable, and safe. Everything that Physical AI promised - delivered.
Learn more about Manifold
Physics-native AI for the physical world
Manifold is a groundbreaking State Space world model that calculates physics. Not guessing from patterns, but through the fundamental equations that govern how the physical world actually works. Predictions, optimizations, and activities are validated before action occurs - ensuring reliable, safe, and accurate operations.
Wherever AI meets the physical world
Physics generalizes in fundamental ways that pattern-recognition inference cannot. The same governing equations apply across materials, domains, and industries. Without re-training, without re-engineering - requiring minimal compute and data resources.
Manufacturing
Battery, concrete, composites, steel, pharma
Robotics
Contact-rich manipulation, deformable materials, fluids
Autonomous Systems
Navigation, terrain physics, spatial intelligence
Spacetech
Satellite data, flood prediction, orbital mechanics
AI Stack Augmentation
Physics layer for LLMs, VLAs, robotics platforms
Scientific Discovery
Route optimization, materials research, engineering
Advancing Physical AI through groundbreaking research
Research: Spatial Constraint Satisfaction Does Not Scale In Auto-Regressive Models
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Research: Strutured State with Higher-Fidelity Observations Dramatically Improves Spatial Reasoning
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Head-to-head: Manifold vs Physical Intelligence on identical hardware
Using the same UR5e robotic arm and sensors, Manifold achieved 98% accuracy vs 14% for Physical Intelligence's π0.5. Zero-shot, no training.
Read more SocialJanuary 20, 2026 · DemonstrationManifold solves the travelling salesman problem. Without being designed to
When challenged with a routing problem that stumped every frontier LLM, Manifold matched purpose-built optimization algorithms and scaled to 1M points.
Read more SocialJanuary 5, 2026 · DemonstrationPredicting coastal flooding in the Netherlands with satellite data
Using historic ESA Sentinel-1/2 satellite data, Manifold produced a two-week flood forecast for the Dutch coastline. Demonstrating physics generalization beyond manufacturing.
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