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 ManifoldPhysics-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
Physics-Native State Space Models for Real-Time Physical World Intelligence
How Manifold's SSM architecture achieves deterministic physics predictions at 43ms end-to-end, operating zero-shot across materials and domains.
Read more January 28, 2026 · PerceptionZero-Shot Physics-Normalized Sensor Fusion
A sensor fusion framework that converts all sensor modalities into standardized SI units with sub-millisecond synchronization. Enabling zero-shot perception without task-specific training.
Read more December 10, 2025 · TheoryGrounded Dynamical Intelligence: A Theoretical Framework
The intellectual foundation behind Manifold. Establishing that physical-world intelligence emerges from continuous dynamical systems grounded in physics verification.
Read moreLatest news from Niva
Manifold v6.0 Stable Released
The latest stable release adds improved quality prediction and physics guardrails, with v7.0 now in development.
Read more NewsFebruary 16, 2026 · IPNiva Files Sixth Provisional Patent Application
Our most technically advanced filing to date. 31 claims covering causal emergence, spectral mode discovery, and temporal integration governance.
Read more SocialFebruary 10, 2026 · ValidationHead-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.
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