Airis Predict is a modular system that leverages cloud technology, industrial internet of things, cellular edge devices, and machine learning to capture key asset performance data to provide a real-time dashboard with predictive analytics to assist organizations pro-actively address operations risks.

• We understand that in the increasingly competitive era of the fourth industrial revolution, organizations with industrial environments such as airports, factories, and logistical hubs should strive to continuously enhance operational efficiency for achieving strategic advantages that reflect positively on customer experience while reducing stress on OPEX. We believe Airis Predict can help you do just that!
• In 90 days, our machine learning algorithm can be trained to detect anomalies in asset performance behaviour up to 30 days before failure. This allows adequate time for resupplying stock and scheduling maintenance activities without disrupting operations. System alerts can be pushed to your CMMS, or through SMS & Email depending on your escalation protocol.
• We are able to retrofit our IoT sensors to any electro-mechanical asset. Which will then acquire data and normalize it to produce actionable insight through enhanced cloud-based visualizations, ensuring everyone in your team can understand the information effortlessly. Our solution helps you shave 15% off their maintenance budgets and decreases repair time by 60%.

Check out our latest success story with Riyadh Airports Company that was published on the ACI global website. Recognizing our achievement, the Chief Executive Officer of Riyadh Airports, Engineer Mohammed bin Abdullah AlMaghlouth, said: “One of the main pillars of successful operations at the airport is the introduction of state-of-the-art and highly efficient technology to achieve the lowest possible percentage of operational risks.”

RAC aims to reduce unforeseen failures by up to 50% by using predictive analytics to schedule planned downtime while working to reduce repair time by up to 60%. With the implementation of Airis Predict across our Baggage Handling System, our teams will have sufficient time to coordinate logistics and schedule service downtime when required.

We are confident that it will achieve the desired results, eliminating the risk of operational disruption of the baggage handling system that would negatively affect operations at the airport.

Airis Predict was developed as an international effort stretching from the US to the far east. It is built on the industry leading AWS cloud platform, capturing data using the highest quality IoT sensors from IFM GMBH, and connecting your physical asset to the cloud using the latest edge gateway technologies from Cloudrail GMBH. To learn more about how Airis Solutions can help your business thrive, please visit our website.

Read More