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The Endian Connect Platform is the only open, end-to-end IOT platform to provide secure remote connectivity between people, things, processes (infrastructure) and networks. Our solution is built to scale from very small projects to very large, global deployments with thousands or even millions of things connected.

Endian Connect Platform - Three Key Principles:


  • Secure Connection​

    At the heart of Endian is security and our passion for this is evident in the Connect Platform. Things like industry standard encryption protocols, two-factor authentication, support for external authentication sources (like Active Directory or LDAP) and so much more. In addition, the Endian OS platform is included​ in all of the Endian components as well so you know you get the highest levels of security.
  • Easy Management

    Our goal is make secure remote access as easy as possible. Endian Plug & Connect feature which enables rapid, centralized remote deployment of field devices over the Internet. A real-time map visualization of your infrastructure makes remote access as simple as point-and-click. Integrated application support allows you to access remote resources using only a browser and works great on mobile platform too!
  • Advanced Analytics

    The Connect Platform is at the heart of connecting your users and things together which makes it even better suited to store, monitor and analyze all your big or small data components across your remote infrastructure. Build custom dashboard views to get the insight your business needs to provide superior​ products and support. The data collected forms the basis for predictive maintenance


  • Endian
    Endian is the leading provider of open source Network Security and remote connectivity solutions. Founded in Appiano, Italy in 2003 by a team of experienced network specialists and security enthusiasts. Endian’s goal is clear: Develop the world’s most powerful and easy-to-use Open Source Unified Threat Management system. With over 1.7 million users of the Community Edition and 50,000 installations of the professional product in over 50 countries, Endian continues to deliver on its mission!
  • Platform as a Service
    Open website
    Open website
  • Application Industries
  • Chemicals
    Equipment & Machinery
  • Application Functions
  • Maintenance
  • Process Control & Optimization
    Process control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
    Edge Computing & Edge Intelligence
    Edge computing and edge intelligence shifts data processing, computing applications, and services away from centralized cloud based servers to the edges of a network. This enables analytics to occur at the source of the data where it can trigger events in real time, without time delays as data moved between cloud servers. Existing cloud-based technologies do not solve problems of data analytics, software deployment, or updates and security for remote devices. Edge or fog computing solves the problem of managing large amounts of machine-generated data by processing data at the edge of the network and converting it into actionable, useful business information. Software can be deployed at various points in the network to not only automate monitoring and control, but also to apply embedded intelligent agents that can adjust device behaviors in relation to ongoing performance variables, thereby reducing running costs by reducing power consumption during off-cycles, or even detecting imminent failures and notifying technicians to perform preventative maintenance. Edge computing also allows remote software deployment and secure M2M communication. Edge computing leverages resources that are not continuously connected to a network, such as laptops, smartphones, tablets, and sensors. It covers a wide range of technologies, from wireless sensor networks and mobile data acquisition to cooperative distributed peer-to-peer ad hoc networking and processing.
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