Why the Waylay platform?

An open and extendable platform

  • A modern REST-based architecture.
  • Sensor/actuator SDKs to customize platform to your needs.
  • No lock-in: export and import your logic in JSON format.

Wire and debug your logic graphically

  • Drag-and-drop designer.
  • Compared to any other rules or workflow engine, the logic representation is extremely compact.
  • This facilitates easier debugging and ongoing maintenance.

Connect your back-end, fast and reliably

  • waylay’s connector framework allows to easily hook your existing back-end to the waylay platform and exchange data via REST, websockets or MQTT.
  • Of-the-shelf connectors are available for multiple IoT platforms.

Enabling the programmable Internet

  • combine multiple information streams, whether coming from sensors (mostly push model) or from the Internet (mostly pull model).
  • Logical inference happens instantly, across all variables.

Develop once, deploy anywhere

  • waylay is a cloud platform, hence you need to develop your logic only once to deploy it across all devices.
  • Avoid the synchronization of logic across multiple HW platforms and OSs.

Complete lifecycle management

  • Design, debug, deploy and maintenain your logic.
  • Built-in simulation tools allow debugging even when not all sensor connectors are available.
  • Debugging tools and dashboard functionality.

A short story about an AC, hot weather and the internet of everything

Imagine an air conditioner that sends temperature, pressure, vibration and other telemetry data to a central location where the data is analyzed. When any of the parameters shows unusual behavior, this central location sends a notification, such as an e-mail or an SMS. This is how most of the M2M platforms envision IoT: devices connected to the cloud, with data visualized on a dashboard and with simple threshold crossing and alerting (if the temperature is above 25 degrees, send an alert). We call this a “SCADA in the cloud” approach.

To truly unleash the power of the internet of everything (IoE), we need a service orchestration platform that seamlessly connects all the dots.

Realistically though, when an air conditioner shows an abnormal behavior, the first thing a company would need to happen is to have a ticket created in their support system. But what if it was just too hot outside and someone forgot to close the window, while keeping the airco running over the weekend? If that’s the case, the machine is fine, there would be no need to have the technical support brought into it. So in order to first verify that hypothesis, the system must check the outside temperature. How does it find the outside temperature? By calling the weather API of that machine’s location. And how does it find the location of the machine that shows abnormal behaviour? By querying the asset database. Depending on the nature of the abnormal behaviour, we may want to turn the device off remotely or, for a different type of emergency, alert the technical support at the location. Based on what we learned so far, how do we know who is the right person to inform in order to inspect the building, close the window or check the machine? That information is in the enterprise ERP system.

What we can observe from this simple example is that connecting people, machines, enterprise back-end systems, software applications and online services requires much more than a "SCADA in the cloud" approach. And our example was the invented and implausible story of just one single connected product. But think of when you scale that to a hundred, a thousand or a hundred thousand, as most real-life deployments would need to. Think of the truly immense quantities of data pouring into your system and the consequent insane number of variables that would need to be accounted for. To truly unleash the power of the internet of everything (IoE), we need a service orchestration platform that seamlessly connects all the dots.

Waylay is an orchestration and automation solution that provides a structured framework to connect data sources, develop logic, deploy, scale and maintain over time. With an API-driven and open architecture, it provides enterprises with the right flexibility to tune it to their specific use cases.The platform has a patented inference engine at its core that is the result of 15 years experience in the domain of M2M, AI and automation software.


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