Falcon Digital Twin Simulation Platform
SoftwareCloud-based digital twin simulation platform generating synthetic sensor data in photorealistic, physics-accurate environments, with native ROS/ROS2 and Python API integration.
Developer of Falcon, a cloud-based digital twin simulation platform that generates synthetic sensor data and validates autonomous systems for robotics, defense, warehouse automation, and manufacturing quality assurance.
Cloud-based digital twin simulation platform generating synthetic sensor data in photorealistic, physics-accurate environments, with native ROS/ROS2 and Python API integration.
Simulation connecting a customer's autonomy stack to a physically accurate UGV model in Falcon, streaming synthetic ROS perception data for autonomy testing and regression validation.
Simulation using digital twins of AMR fleets and warehouse environments in Falcon, connected via the Peregrine API to validate robotic fleet deployment scenarios.
Digital twin platform generating synthetic training images from existing CAD and 3D assets to train computer vision models for manufacturing and QA inspection, stated as 99%+ accurate.