Edgescale AI Inc.

Putting Physical AI to work at the edge shouldn’t mean compromising your data. Red Hat and Edgescale AI safely & securely bring AI-era productivity directly to your operations by putting sovereign, deterministic AI to work at your physical sites.

The mission-critical work in factories, plants, refineries, logistics hubs, and remote sites demands deterministic performance and uninterrupted reliability. Edgescale’s Physical AI Infrastructure appliance - the Cube - runs on Red Hat Enterprise LinuxⓇ and Red Hat OpenShiftⓇ and integrates with your legacy infrastructure, keeps your data private and local, and allows agents to run with low latency even in offline environments. Edgescale’s Physical AI solutions specialize in connecting to your existing systems and data sources to deliver purpose-built AI solutions that transform how work is done in your environments. Like switches and routers were the infrastructure unit of work in the internet era, Edgescale appliances - running on Red Hat - are the infrastructure unit of work for the AI era.

By providing sovereign AI that can tap fragmented data sources at the edge, Red Hat and Edgescale enable you to deliver measurable gains in yield, uptime, and safety without custom engineering or vendor lock-in. And unlike complex edge AI pilots that take 18-24 months to deploy, Edgescale’s Cubes are installed in a day and fully operational in an average of two weeks. The ROI on your first use case is typically achieved in less than 90 days, and the ROI compounds as you scale by simply drop-shipping Cubes to each additional site.

Want to learn more about the Cube? Read our joint technical brief to see how you can deploy your first edge AI use case in days.