vNet is an enterprise-AI application for building faster, smarter, and better ML models to accelerate digital transformation. 

The platform uses different algorithms to create the synthetic image, tabular, and video data. Mirroring the statistical properties of the original data allows the development of high-fidelity synthetic data. 

A no-code/low-code image analytics platform that helps optimize performance to increase efficiency and decrease operational costs.  

An intuitive, codeless AI platform used to build, train, deploy, and optimize ML models. The solution leverages applications developed with Stanford University to create noise-free and unbiased datasets. 

A business model designer that pieces together pre-trained AI models from the vLife® marketplace. It enables business analysts to put together end-to-end solutions.

An AI platform that intuitively selects third party applications and software across ML operations.