Crosser Blog

Connecting one machine to another is a big topic within Industrial IoT. In this webinar Crosser CTO Goran Appelquist, PhD will show you how to read OPC data from one machine and integrate the data into another machine in the same network.

Using video cameras as sensors in industrial IoT applications is becoming more and more popular. The reason is of course that it opens up for many interesting applications.

• Learn about the key use-cases for Edge Analytics in Industrial IoT
• Explore the unique capabilities of the Crosser Edge Analytics Platform
• Find out how Crosser self-service software can dramatically speed up your innovation and reduce your total cost of ownership

Stockholm, Sweden, April 30, 2019 — Crosser Technologies AB today announced it has closed a EUR 3 million A-round financing to support an international expansion. German early stage tech VC 42CAP and Swedish VC firm Industrifonden led the round with existing investors Spintop Ventures, Almi Invest and Norrlandsfonden also participating.

Crosser, a leading provider of Intelligent Edge Analytics software for Industrial IoT, today announced that the firm has initiated a close cooperation with Advantech, a global leader in the fields of intelligent IoT systems and embedded platforms.

Stockholm/Sundsvall, 22 March, 2019 - Crosser, a leading provider of Intelligent Edge Analytics software for Industrial IoT, today announced that the firm has initiated a close cooperation with Basler.

Stockholm/Sundsvall, 15 March, 2019 - Crosser, today announced that the firm has joined the Intel ® Internet of Things Solution Alliance.

The announcement of an open machine learning (ML) strategy gives customers full freedom to deploy their favourite machine learning framework in the edge.

Extracting valuable insights out of data collected from machine sensors can be hard, often requiring analyzing data from many sensors in parallel.
Due to the complexity, machine learning (ML) methods are becoming more and more popular to analyze these datasets.

If you are in manufacturing, process industry, oil & gas or other asset-rich industries with many machines & equipment there is a good chance you are thinking about how to leverage this data in a better way. Either to gain insights to improve your processes or for optimizing your maintenance for an improved uptime.