Predictive maintenance,asset utilization
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STREAMLINED DATA
Predictive Maintenance & Early Warning Systems
Manufacturing or process plants rely on the automation and efficiency of complex equipment. Unexpected failures can grind operations to a halt, losing time and costing valuable revenue.
These complex machines generate massive amounts of data that can be mined and understood.
From food packaging plants to high-end chip manufacturers or life saving pharmaceuticals, Xpanse deploys systems allowing an understanding of the root-cause of failures and time-critical alters if the processes are at risk.
MACHINE LEARNING
Bottleneck Forecasting & Supply Optimization
Identifying bottlenecks and potential supply shortfalls can be a make or break difference in how a company adapts and optimizes the supply chain.
With rich data sources, companies can now employ Machine Learning to answer questions about the root causes for bottlenecks, predict their re-occurrence and mitigate with alternative solutions.
![](https://xpanse.ai/wp-content/uploads/2022/03/supply-chain-optimization-V2.png)
AI-DRIVEN MODELS
Predictive Quality
Save time and money by using AI -assisted quality predictions.
By observing and identifying patterns in the real-time data our Models are capable of accurately predicting when the processes need adjusting in order to maintain required quality.
![](https://xpanse.ai/wp-content/uploads/2022/03/predictive-quality-V2.jpg)
“Xpanse AI is capable of independently designing and testing thousands of Features from raw sensor signals. It enables a new level of Data Science where models and insights are delivered within minutes instead of waiting weeks for manually executed projects.”
5/5
![](https://xpanse.ai/wp-content/uploads/2022/04/Kevin-Breen-V1.jpg)
Kevin Breen
CEO of Cyberactive
Ready to get started?
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