Physical AI Service Categories
Advanced AI systems that perceive, understand, and interact with the physical world.
Computer Vision
Advanced perception systems that enable AI to see, recognize, and understand visual information in real-time.
- • Object detection & tracking
- • Scene understanding
- • Real-time processing
- • Edge deployment
Robotics Integration
Intelligent control systems that enable robots to navigate, manipulate objects, and perform complex tasks autonomously.
- • Autonomous navigation
- • Manipulation control
- • Sensor fusion
- • Safety systems
Autonomous Systems
Self-directed AI systems that make intelligent decisions and adapt to changing environments without human intervention.
- • Decision making
- • Adaptive learning
- • Real-time control
- • Multi-agent coordination
Our Physical AI Process
A systematic approach to building AI systems that interact with the physical world.
Analysis
Understanding requirements, environment, and constraints
Design
Architecting AI systems and integration strategies
Development
Building and training AI models for physical interaction
Testing
Validating performance in real-world conditions
Deployment
Launching and optimizing in production environments
From Simulation to Dataset
A systematic approach to generating high-quality training data through simulation.
1
Build the World
Create accurate 3D spaces with correct geometry, materials, and lighting.
2
Simulate Sensors
Configure cameras, depth sensors, lidar, and radar to match real devices.
3
Generate Scenarios
Vary lighting, viewpoints, objects, and motion to improve model robustness.
4
Create Labeled Data
Export ground truth including boxes, masks, depth, normals, and tracks.
5
Validate and Refine
Compare to small real sets, analyze error modes, regenerate targeted scenes.
Why It Matters
Key advantages of synthetic data generation for Physical AI development.
High Coverage
Comprehensive scenario coverage without field risk or data collection constraints.
Faster Iteration
Rapid development cycles with complete ground truth and instant feedback loops.
Better Transfer
Enhanced model robustness through diverse scenarios and edge case simulation.