A purpose built platform for automotive and beyond
The flexibility of Applied Development Platform enables diverse applications across industries.
L3 and above applications
Verify scenario coverage and cover corner cases
Assess system’s safety readiness for deployment based on SOTIF and ISO 26262(details)
Reduce on-road testing and manual data labeling using synthetic simulation

ADAS
Freight and trucking
Test corner cases using relevant scenarios for highways worldwide
Comprehensively cover edge cases using re-simulation and synthetic simulation
Supports multi-body dynamics modeling

Mining
Simulation engine optimized for autonomous haulage systems
Recreate digital twins of your deployment areas
Run advanced analytics for fleet operations, routing, coverage

Logistics & indoor AMRs
Sensor simulation optimized for SLAM development
Simulate warehouses, shipping & dock yards, and fulfillment centers in 3D synthetic environments
Validate planning and control algorithms with multi-actor scenarios using built-in intelligent models

Agriculture
Create complex maps in minutes using real-world satellite imagery and data
Validate sensors in large scale 3D simulation environments with a vast catalog of crop and farming equipment assets to choose from
Supports partially automated vehicles (e.g. route planning) through full autonomy (e.g. obstacle detection, collision avoidance)

Aerial
Train perception algorithms using sensor simulation
Swarm modeling with multi-actor support
Supports eVTOL for autonomous taxi, takeoff, and landing

Delivery robots
Create complex scenarios in minutes using a rich library of behaviors available for sidewalk robotics use cases
Run large-scale parallel simulation to test for long tail of events
Validate pedestrian detection algorithms using synthetic datasets covering sidewalk and road operation

Vast libraries of synthetic data sets for every industry
Use synthetic data to procedurally generate 3D worlds and train perception algorithms with off-the-shelf annotations.







































