From Connected To Smart
The word ekkono means cognition. And that is what we do – we make connected things (IoT) smart. Our edge machine learning software enables product companies in different industries to rapidly develop and deploy self-learning, predictive and personalized smart features onboard their products.
Our strength is that we actually do machine learning and not just inference at the edge, which means that we can learn individual use and super-local conditions. And we can even do this on really small devices that run MCUs. This enables a plethora of use cases like predictive and condition-based maintenance, auto-configuration and auto-installation, virtual sensors, smart battery management, and more.
Meet Ekkono
The Swedish Startup Conference 2021
2021-09-21 17:00:00
Edge Developers Conference 2021
2021-10-12 00:00:00
Edge Startup of the Year
2021-10-12 00:00:00
New Content From Ekkono
Running Ekkono’s Edge Machine Learning on a Commodore 64
Henrik Linusson, Data Scientist, Ekkono What does it really mean to run machine learning on the edge? Over the last five years, Ekkono's researchers, engineers, and developers have been working hard to bring smart functionality to small hardware platforms. In this...
Ekkono Partners With Qt
Ekkono Solutions has signed a global distribution agreement with Qt. Qt brings Ekkono into their toolchain to help customers speed up their development and deployment of embedded software onboard connected things (IoT). The Ekkono-Qt partnership is signed for a joint...
Why research is crucial for machine learning
Eva Garcia Martin, Data Scientist, Ekkono Ekkono is born out of research. Rikard König, a PhD researcher at University of Borås (now CTO) spent seven years researching and specializing in machine learning for predictive modeling, with the main focus at designing new...
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