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AI That Understands the Physical World
By combining vision models and vision-language models (VLMs), we enable AI agents
with real-time perception, situational awareness, and intelligent decision-making at scale
Traffic Optimization
Improve traffic flow and detect congestion and accidents
Disaster Response
Detect floods, collapses, and other hazards before escalation
Transportation Safety
Monitor platforms and carriages to ensure safe transit
Facility Management
Monitor risks and anomalies in critical infrastructure
Explore More Applications
Power Infrastructure Management
Water Resource Management
Construction Safety Monitoring
Trusted by Leading Cities



How It Works
Our Three Computer Solution

Example Use Case: Accident Detection

Simulate
Accident Scenarios
Accelerate data collection and expand diversity
Train
AI Model with SDG
and Real Data
Build robust models with comprehensive datasets
Deploy
Real-Time Inference
Interpret scenes, reason in context, and trigger agentic responses
Shape the Cities of Tomorrow
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