SUSE Industrial Edge: IoT platform for industry

SUSE presents its new product Industrial Edge, an IoT platform based on the Losant architecture for various industrial sectors.

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Green abstract pattern with a spiral element, SUSEcon logo

(Image: SUSE)

2 min. read
By
  • Udo Seidel

Following the acquisition of Losant in February 2026, SUSE presented its first concrete results at its home conference, SUSEcon: the new product Industrial Edge. It builds on Losant's architecture and is aimed at almost all industrial sectors – from transport and building technology to shipping and manufacturing.

Everywhere, devices and sensors collect data that needs to be evaluated to enable reactions when necessary. Losant provides a ready-made platform for this: load balancers (Nginx), messaging systems (MQTT, RabbitMQ), and databases (MongoDB, TimescaleDB, Redis). Another component manages and visualizes workflows. SUSE will form the foundation of these building blocks in the future. The software manufacturer has already gained experience in streamlining applications for small devices through SUSE Edge, albeit with a clear focus on the telecommunications industry there.

In an interview with iX, Keith Basil, General Manager Edge at SUSE, explained the current status and the vision behind SUSE Industrial Edge. A central challenge in the Internet of Things is the diversity of protocols and specifications that a platform must support to read and process data. SUSE saves itself this development work: Losant has already implemented the appropriate connectors.

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The merger of the existing platform with SUSE is just the beginning, according to Basil. His goal is to bring as many AI functions as possible into the IoT world – this is precisely where the added value of the acquisition lies for Losant, as SUSE has already successfully embarked on the AI journey with its products. For example, workflows in SUSE Industrial Edge could be improved by agent-based AI. Another example: data analyses or management-level key figures could be generated via chatbot.

This is still a pipe dream. Those who want to learn more about the current status will find concrete examples in the user reports from Clark and ITT Ingeniería.

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This article was originally published in German. It was translated with technical assistance and editorially reviewed before publication.