A Vizuro Solution
Corvus™ Lets Machines See, Understand, and Act
by turning your digital asset into Physical AI
Interacting with physical world requires object-level knowledge
More than navigation
Most physical AI focuses on navigation. But for autonomous robots to interact with the world, they need to know what an object is, its physical and geometric properties, and normal and abnormal states, so that they know how to handle it accurately and why certain consequences may occur per their interventions.
No training data? We simulate it
Building physical AI requires data flywheels - collecting massive amount of data from a fleet of deployed robots to enhance their AI. That imposes a cold start problem without initial training data.
Our solution is a patented sim-to-real-to-sim pipeline, using 3D asset of objects to generate synthetic data to train AI models, embed them into real life applications, then create a data flywheel.
CREATE Digital Twins
Turn 3D asset into digital twins for Synthetic Data Generation (SDG)
BUILD AI Models
Use SDG to build AI stacks without real training sets
deploy applications
Deploy AI stack in apps, SaaS, or robotics automation
Showcase
Reinventing Automobile Remanufacturing
