March 21, 2023
Canopy’s AI uses historical data to learn how your machines function under all operating conditions. They are deployed in various industries, helping to detect failures ahead of time, reduce machine downtime and increase performance. Canopy learns what normal behaviour is and can extrapolate what abnormal is. We don’t train for specific failure types. If the abnormality is in your data, Canopy will find it, no matter the cause.
Shumai is an open-source, fast, network-connected, differentiable tensor library for TypeScript (...
Safurai is an AI-based IDE extension designed to assist developers with coding, debugging, and re...
Chart packages your models into high-performant C++ servers and deploys them into your own cloud ...