A Vizuro Solution

Corvus™ Turns Your Digital Asset Into Physical AI

and makes machines understand what they see for the right actions

Get Your AI Ready Before Too Late

with our integrated Real-to-Sim-to-Real pipeline, based on patented technologies that creates synthetic data to train and embed AI into real life applications

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

Schedule A Demo

Applications

and the possibilities are unlimited

Identify thousands of vehicle cores from junkyards, so that they can be savaged for remanufacturing instead of being scrapped, reducing 60% of carbon emission compared to new OEM parts.

Case Study

Reinventing Automobile Remanufacturing

Insights

Innovation Endorsed: Landmark Patent for Physical AI Granted by U.S. Patent and Trademark Office (USPTO)

"Machine-learning Method on Vectorized Three-Dimensional Model and Learning System Thereof" describes a novel method for utilizing vectorized 3D models to generate synthetic data of real-world objects for AI training. It can be applied for various applications, including object identification and anomaly detection, where training data are difficult or economically infeasible to acquire, and the robotic agents need these capabilities to function and swiftly interact with the p

From Object Recognition to Physical AI: When SDG Meets the Physical World

The future of Physical AI isn't just about better technology—it's about smarter SDG implementation. Organizations that understand how to match SDG strategies with their specific Physical AI needs will gain significant competitive advantages.

Choosing the Right Scale and Tasks: Making SDG Work for Your AI Projects

How Corvus's synthetic data generation platform addresses the critical challenge of matching model capabilities with data requirements...

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