Edgescale provides an on-site AI engine, The Cube, that connects to existing industrial systems and devices to enable local artificial intelligence applications. This Virtual Connected Edge solution deploys cloud-native software and AI models directly into operational environments for real-time processing. The platform facilitates closed-loop operations, enhancing system productivity, throughput, and efficiency through local intelligence and automation.
Funding
Funding not disclosed
Founders
Product
Problem
Deploying and managing AI models that interact with physical systems is complex, especially when connecting AI to real-world operations and scaling those systems for production use. Existing solutions often require custom compute and complex networking at the edge, making it difficult to achieve operational rigor.
Solution
Edgescale AI provides a platform that simplifies the deployment and scaling of AI to physical systems. The platform extends cloud-native AI to the edge, eliminating the need for custom compute and complex networking. By using Virtual Connected Edges (VCEs), Edgescale AI enables scalable and reliable AI applications to reach physical systems, automating technology and improving operations in industries such as manufacturing, utilities, and healthcare. The platform allows users to send data from industrial devices to and from cloud environments and run AI with connected devices.
Target Audience
The primary customers are companies in manufacturing, utilities, healthcare, and other critical infrastructure industries looking to automate technology and improve operations with AI in physical systems.
Features
- Virtual Connected Edges (VCEs) for large-scale connected clouds
- Integration with Palantir AI's edge AI products
- Cloud-native software distribution to the edge
- Support for connecting to devices, enabling data flows, and deploying AI agents
- Operations-grade AI deployment without manual infrastructure setup