Transforming Interaction with the Physical World
Transforming Interaction with the Physical World
Our Intelligent AI models enable intelligent systems to perceive, understand, and act within dynamic, real-world environments.
Capturing & Streaming ·
Capturing & Streaming ·
Labeling & Refinement ·
Labeling & Refinement ·
Training & Integration
Training & Integration
Capturing & Streaming
Capturing & Streaming
Labeling & Refinement
Labeling & Refinement
Training & Integration
Training & Integration
Perceive
v2.0
Our 3D scene understanding model processes point clouds, depth maps, and multi-view imagery to create rich spatial representations for robotic perception.
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Reason
v1.5
Our spatial reasoning model predicts object dynamics, plans manipulation sequences, and generates actionable insights for embodied AI systems.
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Perceive
v2.0
Our breakthrough 3D foundation model processes point clouds, depth maps, and multi-view imagery to create semantic embeddings with unprecedented accuracy. By understanding geometry, appearance, and context simultaneously, Perceive enables real-time scene understanding that powers the next generation of robotic perception — from industrial manipulation to autonomous navigation.
Our breakthrough 3D foundation model processes point clouds, depth maps, and multi-view imagery to create semantic embeddings with unprecedented accuracy. By understanding geometry, appearance, and context simultaneously, Perceive enables real-time scene understanding that powers the next generation of robotic perception — from industrial manipulation to autonomous navigation.
RGB-D Input
Point Cloud
Point Cloud
3D Embeddings
Powered Features
Where perception meets precision
Where perception meets precision
Real-time instance & semantic segmentation
Perceive's state-of-the-art segmentation identifies and classifies every object in 3D space, enabling robots to understand complex environments with sub-centimeter accuracy.
Real-time instance & semantic segmentation
Perceive's state-of-the-art segmentation identifies and classifies every object in 3D space, enabling robots to understand complex environments with sub-centimeter accuracy.
Rich 3D representations for downstream tasks
Transform raw sensor data into compact, meaningful vector representations that capture geometry, appearance, and semantic context for any downstream application.
Rich 3D representations for downstream tasks
Transform raw sensor data into compact, meaningful vector representations that capture geometry, appearance, and semantic context for any downstream application.
Cross-frame consistency at 60 FPS
Track hundreds of objects simultaneously across frames with persistent IDs, handling occlusions, rapid motion, and appearance changes without losing track.
Cross-frame consistency at 60 FPS
Track hundreds of objects simultaneously across frames with persistent IDs, handling occlusions, rapid motion, and appearance changes without losing track.
RGB-D, LiDAR, IMU integration
Seamlessly combine data from multiple sensor modalities to create unified, high-fidelity 3D reconstructions with temporal consistency and spatial coherence.
RGB-D, LiDAR, IMU integration
Seamlessly combine data from multiple sensor modalities to create unified, high-fidelity 3D reconstructions with temporal consistency and spatial coherence.
Reason
v1.5
Built on top of Perceive's rich 3D embeddings, our spatial reasoning model bridges perception and action. Reason predicts object dynamics, understands physical constraints, and generates precise manipulation sequences — all from natural language instructions. This is human-level spatial reasoning, deployed at robotic scale.
Built on top of Perceive's rich 3D embeddings, our spatial reasoning model bridges perception and action. Reason predicts object dynamics, understands physical constraints, and generates precise manipulation sequences — all from natural language instructions. This is human-level spatial reasoning, deployed at robotic scale.
3D Embeddings
Task Prompt
Reason AI
Action Plan
Powered Features
Where understanding becomes action
Where understanding becomes action
From perception to manipulation
Generate precise manipulation trajectories and action sequences from natural language instructions, bridging the gap between understanding and physical interaction.
From perception to manipulation
Generate precise manipulation trajectories and action sequences from natural language instructions, bridging the gap between understanding and physical interaction.
Anticipate object dynamics
Predict how objects will move, fall, collide, and interact based on physical properties, enabling proactive planning and robust execution.
Anticipate object dynamics
Predict how objects will move, fall, collide, and interact based on physical properties, enabling proactive planning and robust execution.
3D relationship understanding
Understand complex spatial relationships, affordances, and constraints to make intelligent decisions about object manipulation and navigation.
3D relationship understanding
Understand complex spatial relationships, affordances, and constraints to make intelligent decisions about object manipulation and navigation.
Natural language to physical actions
Ground high-level instructions like "pick up the red cup" to specific objects, grasp points, and motion primitives in the observed 3D scene.
Natural language to physical actions
Ground high-level instructions like "pick up the red cup" to specific objects, grasp points, and motion primitives in the observed 3D scene.
Intelligent AI
End-to-End
Intelligence Pipeline
End-to-End
Intelligence Pipeline
End-to-End
Intelligence Pipeline
From raw sensor data to intelligent action-seamlessly integrated with your robotics stack.
From raw sensor data to intelligent action-seamlessly integrated with your robotics stack.
Capture
Multi-sensor fusion
Perceive
3D scene understanding
Reason
Spatial reasoning
Act
Action generation
Learn
Continuous improvement