
DT Equipment Closes Series A Round of Financing
DTE’s platform combines completely automated elemental analyzers, generating real-time data, reference quality elemental composition direct from liquid metal with a software analytics platform for predictive and pro-active process control.
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CIO Applications Europe | Monday, September 28, 2020

DTE’s platform combines completely automated elemental analyzers, generating real-time data, reference quality elemental composition direct from liquid metal with a software analytics platform for predictive and pro-active process control.
FREMONT, CA: DT Equipment, a Reykjavik, Iceland-based developer of analytics technology for metals production and processing, raised a Series A financing of undisclosed amount. Investors included Chrysalix Venture Capital and Brunnur Ventures.
Established in 2013 and led by Sveinn Gudmundsson, CEO, DTE addresses the need to complement and replace current slow, expensive, and manual methods for process and quality control with real-time, in-line analysis of trace materials. DTE’s platform combines completely automated elemental analyzers, generating real-time data, reference quality elemental composition direct from liquid metal with a software analytics platform for predictive and pro-active process control.
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Real-time process feedback provides substantial opportunities, including energy and process cost savings from faster, improved production efficiency, more frequent measurements and improved operator safety through reducing the need for human intervention.
“Chrysalix is making metals and mining innovation, with resource productivity and intelligent systems, a major theme of our new fund. Working with our strategic investors and high potential start-ups, we accelerate new step-change solutions into the mainstream market,” stated Richard MacKellar, Managing Partner at Chrysalix Venture Capital. “DTE’s technology enables accurate real-time sampling of liquid metal in primary and secondary aluminum production. Compositional information in real-time results in increased production and quality, reduced costs, and energy savings for aluminum producers. This is in line with our investment thesis of using intelligent systems to improve the economics, efficiency and environmental sustainability of resource intensive industries, while creating significant value for customers.”
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