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Built for enterprise-scale, Ayla’s Agile IoT Platform was architected from the ground up to deliver a truly end-to-end software foundation that would enable any device manufacturer to develop not only intelligent products, but also elegant and reliable IoT services for their end users.
Secure Connectivity
+ Drop-in Networking Connectivity (e.g. Wi-Fi) modules from leading hardware vendors come pre-burned with the Ayla Embedded Agent.

+ 1-Step Registration Device connects out-of-the-box to cloud and app with just one button click on the app.

+ LANConnect™App and device can bypass cloud and communicate via local network, improving performance and availability. 128 Bit SSL Encryption Protects user privacy as customer data and key information is never exposed, end-to-end.

+ Root Key Protection Device keys, burned into connectivity modules at factory, are never exposed.

+Multi-Layer Authentication Cloud enforces authentication of device, app, and user to ensure integrity and protect against piracy

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  • SUPPLIER
  • Ayla Networks
    Ayla Networks provides the industry’s first Agile IoT Platform, accelerating development, support, and ongoing enhancements of connected products for the Internet of Things (IoT). Ayla’s software fabric runs across devices, cloud, and apps to create secure connectivity, data analytics, and feature-rich customer experiences. Offered as a platform-as-a-service (PaaS), Ayla’s flexibility and modularity enable rapid changes to practically any type of device, cloud, and app environment. Headquartered in Sunnyvale, California, the company has partnered with major hardware, cloud, and application vendors leading the new era of the Internet of Things.Year founded: 2010
  • SNAPSHOT
  • Software as a Service
  • Application Industries
  • Equipment & Machinery
  • Application Functions
  • Maintenance
  • USE CASES
  • Predictive Maintenance
    The aim of predictive maintenance is first to predict when equipment failure might occur, and secondly, to prevent the occurrence of the failure by performing maintenance. Monitoring for future failure allows maintenance to be planned before the failure occurs. Ideally, predictive maintenance allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance, without incurring costs associated with doing too much preventive maintenance.Predictive maintenance uses condition-monitoring equipment to evaluate an asset’s performance in real-time. A key element in this process is the Internet of Things (IoT). IoT allows for different assets and systems to connect, work together, and share, analyze and action data.  
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