Helping Industrial Teams Predict Failures, Take Action, and Improve Quality with End-to-End AI Solutions
What is Edge AI?
Real-Time Decision Making
Edge AI refers to the deployment of artificial intelligence algorithms and models directly on edge devices, such as sensors, gateways, and other IoT (Internet of Things) systems. This is critical in applications where immediate action may be required, such as predictive maintenance to prevent machine failures.
Real-Time Decisions
By processing data locally, Edge AI enables real-time decision-making capabilities. This is critical in applications where immediate action is required, such as in industrial automation.
Privacy and Security
Keeping data on the edge device can enhance privacy and security, as sensitive data does not need to be transmitted over networks or stored in centralized cloud servers.
Bandwidth Efficiency
Edge AI reduces the amount of data that needs to be transmitted to the cloud. This optimizes bandwidth usage and reduces associated resource costs.
Cost Efficiency
By processing data locally, Edge AI can reduce costs associated with cloud computing resources and data transfer fees.
Scalable Deployments
Edge AI supports distributed computing architectures, allowing AI models to be deployed across a network of edge devices. This scalability is beneficial for applications spanning large geographical areas or involving many edge devices.
Partnerships That
Drive Success
Industrial Machine
Health Monitoring
Industrial machine health monitoring platform for ensuring the optimal performance of industrial equipment.
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Latest News
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We’re proud to share that 𝗲𝗱𝗴𝗲𝗥𝗫™ has been named a 2026 Industrial IoT Product of the Year by IoT Evolution! This prestigious award recognizes the most innovative solutions transforming industrial operations through smarter connectivity, real-time insights, and advanced automation—and we’re honored that 𝗲𝗱𝗴𝗲𝗥𝗫™ is included among this year’s standout technologies.
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