We are an industrial IoT analytics startup based in Sweden. We build killer "apps" for the heavy industry in Sweden and Europe in order to achieve process and energy optimization. Specifically, we focus on predictive maintenance – we enable the heavy industry to achieve near-zero breakdown maintenance by predicting the unexpected machine failures/stoppages.
We are packaging the engine as an enterprise SaaS product targeting the heavy industry in Sweden and Europe. We are in advanced stages of setting up pilot deployments with 3 major enterprises (all of whose revenues are above USD 10 Billion). The objective of the pilot deployments is to deploy our engine in a live industrial setting in order to monitor the health of machines, and predict their maintenance.
PhD, 2015, Signal processing and communication theory, Chalmers - R&D
MSc, 1997, Chalmers, PMP - Finance, Agreements and Sales
PhD 2010, Signal processing and communication theory, Chalmers - R&D
PhD 2017, Machine Learning and Algorithms, Macedonia - R&D