unsupervised system for Industrial machine HEALTH at the edge

A self-care system for Industrial machine diagnosis on the edge, providing real time data on-prem with existing IoT infrastructure.

👉 Saves 72% of downtime costs

👉 Creates $149M in value per customer per year*

Ready on Day 1 without any prior knowledge of the machine start monitoring equipment in minutes. Octonion’s Edge AI Engine operates in unsupervised mode and continuously analyzes equipment behavior. Machine states and issues are discovered even if it has never been seen nor reproduced before.

Machine Heath to anticipate degradation with metric as a real-time indicator of the equipment's wearing based on the machine's mechanical state to avoid unplanned downtime.

Cost-effective equipment care by analyzing the data from mass-market sensors directly on the low-cost MCU, Octonion helps to reduce operational costs needed for infrastructure support and cloud storage.

Octonion’s continuously builds an AI model at the machine level without sending sensor data outside of the factory floor, thereby bringing privacy and security by design.

Simplification of the fleet diagnosis: Octonion enables knowledge distribution between similar machines by bringing the global AI model with all known states and anomalies and increase operational efficiency.

* Aberdeen report 2019

Find the full LinkedIn post here

Want to know more?

Send me an email to lili@fullb.co or visit our website www.octonion.com

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