Optimized for Edge
Machine learning models and the framework to run them optimized for the edge. Models automatically retrained from the current data. Retrained models delivered to the edge seamlessly.
Configure and deploy state-of-the-art self-managed models
on your edge devices.
Machine learning models and the framework to run them optimized for the edge. Models automatically retrained from the current data. Retrained models delivered to the edge seamlessly.
Padmé can be customized to serve your needs. The video here showcases the crowd counting capability in a specific area of the stands in the National Tennis Center during US Open 2021.
Loss prevention in retail stores can be curtailed through our platform. Padmé has custom machine learning models specific to industries like retail, manufacturing, warehouses, healthcare, event management, etc.
Cutting edge models and framework provides accurate results. Padmé is deployed to count the crowds at US Open.
Deploy models to the edge when they are online. Manage multiple versions of the models across all your edge devices.
Cloud, Private cloud, On premise -- deploy our containerized platform anywhere with a single command.
Padmé is built with security in mind from the ground up. Our framework, models, and the containers are encrypted using the highest industry standards.
