Viking Analytics enters frame agreement with ABB

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Viking Analytics, a Swedish startup in the field of advanced analytics for predictive operations, has signed a frame agreement with ABB. The scope of the agreement is the development of data-powered monitoring of strategic assets and marks a new stage in the collaboration between the companies following the ABB Electrification Virtual Startup Challenge 2020.

In the competition, that took place last December, startups were invited for a ten-day challenge, in which they should use digital technologies to create safer, smarter and more sustainable solutions in the electrical energy sector. Viking Analytics was the winner in the Distribution Solutions category, after applying data analytics and machine learning to help ABB detect changes in conditions of electrical equipment and environment of switchgear. Fourteen companies from Europe, USA, Canada, Israel and India participated in the challenge.

“Our work with startups is directly related to ABB’s commitment to shaping future trends and delivering innovation in electrification. By supporting and welcoming Viking Analytics into our business network, we can drive progress in reliable power distribution to industries and utilities,” says Martin Olausson, VP Global Startup Business Development at ABB.

“The competition’s results and the frame agreement demonstrate our capacity to provide companies of all sizes with a solution that enables them to transform raw data into tangible revenue,” says Stefan Lagerkvist, co-founder and CEO at Viking Analytics. “We are very proud to partner with ABB in developing applications that will contribute to a smarter and more digitalized electrical energy sector.”

Media Contact: Isabela Cavedem - Communications Coordinator at Viking Analytics
Phone: +46 762 303 670

About Viking Analytics
Founded in 2017, Viking Analytics enables the digital transformation of industrial companies by bringing together people, data, insights, and value. With our software MultiViz, users can quickly prepare, analyze, and process large sensor data without being a data scientist. We also empower organizations to capture expert knowledge and build scalable and reliable smart manufacturing applications including optimization, predictive maintenance, anomaly detection, and digital AI operators. Connect with us:,