Background decoration

From input to insight

Idletechs is at the forefront of handling big quantitative data, providing tools for analysis and compression of multidimensional, dynamic data.

Why Are We

We live in the age of information, ever growing data and personal wearable electronics. Making sense of this ever increasing data is becoming vital to our lives. Given the right set of tools we are able to understand the patterns behind that data. Building upon that, accurate models can be developed. This allows reliable predictions to be made.

We believe in machine learning, and so we develop tools and solutions based on the latest R&D in the field. As engineers we also believe in pragmatic approaches to problem solving. In the process of model development, we rely on strong theoretical knowledge in combination with data driven methods. The results of such an approach, gives more realistic models, which represent the actual processes or a system with increasing accuracy. Using this approach we are able to pick up and understand systematic and hidden structures in current or historical data. Understanding these phenomena and structures in data, allows us to discover small changes in dynamics which can lead to big discoveries.




Harald Martens


Aria Rahmati


Jan Otto Reberg

Morten Frøseth

Morten Frøseth


Alf Bjørnar Bertnum


Torbjørn Pedersen

Screen Shot 2017-10-19 at 16.30.20

Håkon Jarle Hassel


The R&D team at idletechs combines experts from a number of fields in machine learning, cybernetics, chemometrics and robotics. Our core scientists have more than 50 years of combined experience in those fields. The publications of our scientists have been cited nearly twenty thousand times. We maintain strong connections with world leading universities, research institutions and industries. We are always looking for new knowledge and solutions that improve our core competencies, methods and models.


Idletechs can offer a number of Master Degree assignments for students at NTNU, especially suited for students at Cybernetics and Computer Science.

Get in touch