Computer Vision Model Zoo for NVIDIA's systems

CVEDIA's leading synthetic data technology enables you to go from concept to product in 4 weeks. Our AI solutions easily integrate into your existing hardware, providing resilient AI that is more accurate, cost-effective and with a shortened time to market.

Custom deployment-first technology

At CVEDIA, we never train computer vision models without understanding first how and where the AI solution will be deployed.

This information enables us to create highly optimized solutions for the platform’s specific operating requirements, such as power consumption, accuracy and performance targets, as well as implementing our solutions to run seamlessly alongside external applications.

CVEDIA | Computer Vision Model Zoo for NVIDIA's systems

CVEDIA | Leveraging NVIDIA for resilient AI solutions

Leveraging NVIDIA for resilient AI solutions

CVEDIA creates edge algorithm solutions for NVIDIA embedded systems including the entire Jetson product line.

Depending on your requirements, our solutions team can target your model to work better for accuracy or performance, and then optimize it to function at full capacity using device-specific computing capabilities. This provides our clients with a head start on their competition, especially considering the lag time involved in data collection.

By skillfully utilizing synthetic data, we can provide edge algorithms for NVIDIA hardware in as little as 1-3 weeks.

NVIDIA product line and resources

CVEDIA currently deploys to the following NVIDIA embedded products: NVIDIA Jetson product line, NVIDIA Enterprise and Desktop GPUs.

With over 24 off-the-shelf algorithms and endless customization capabilities, including unique classes, classification, and device-specific computing capabilities.

CVEDIA | NVIDIA product line and resources

Welcome CVEDIA to NVIDIA Metropolis. CVEDIA provides synthetic data to help developers build vision #AI apps faster.

Startup’s AI Intersects with U.S. Traffic Lights for Better Flow and Safety. CVEDIA taps NVIDIA TAO Toolkit to cut down model development time for Cubic’s GRIDSMART Traffic Systems.

In this session, learn how CVEDIA developed and deployed computer vision models across industry and government to address the lack of computer vision training data for edge deployments. They'll talk about how they built an entire development and deployment pipeline using proprietary synthetic data generation and automated training techniques.

CVEDIA | Amazon Web Services
CVEDIA | Resolve
CVEDIA | Qualcomm
CVEDIA | Teledyne FLIR


CVEDIA's synthetic algorithms are optimized to run locally on low power devices, and designed to integrate seamlessly with hardware devices.


By employing proprietary synthetic data technology, CVEDIA AI is stronger, more resilient, and better at generalizing.


Our software is not vendor locked, this means that it has been specifically designed to run across all edge devices.