tools
Waabi World
Waabi World is an AI-powered closed-loop simulator for testing and training autonomous-driving systems.
Waabi World creates digital twins from sensor data, simulates camera and LiDAR observations, generates interactive traffic scenarios, and trains the Waabi Driver in simulation.
It is used by autonomous-vehicle developers to test software, evaluate safety-critical situations, validate sensor configurations, and reduce reliance on real-world driving. Waabi does not publish public pricing or access terms on the pages found.
Features
- Builds digital twins from LiDAR, camera, and other sensor data
- Simulates camera and LiDAR sensor observations in near real time
- Tests the full autonomous-driving software stack
- Generates interactive traffic scenarios and safety-critical edge cases
- Creates adversarial scenarios that target driving-system weaknesses
- Supports testing of different sensor configurations and vehicle platforms
- Trains the Waabi Driver to learn from mistakes without human intervention
- Reported a 99.7% realism score in paired real-world and simulation tests
Use cases
- Test autonomous-driving software before public-road deployment
- Generate rare or safety-critical traffic situations
- Validate new sensor configurations before hardware exists
- Evaluate vehicle behavior in matched real-world and simulated scenarios
- Train autonomous-driving systems through closed-loop simulation