Sharing Knowledge, Because We Can

Ekkono is a company built on many years of research and thought leadership. On a mission to transform the way we use and develop connected things in the world, we want to share our knowledge on edge machine learning and related topics.

News And Press Releases


  • Ekkono chosen as a 2021 Red Herring Top 100 Europe Winner
    After much consideration, the Red Herring judging panel has announced its Top 100 Europe winners this evening, recognizing Europe’s leading private companies and celebrating these startups’ innovations and technologies across their respective industries. Ekkono makes the list for the second consecutive year. Red Herring Top 100 Europe enlists outstanding entrepreneurs and promising companies. It selects… Read More »Ekkono chosen as a 2021 Red Herring Top 100 Europe Winner
  • How to Enter Post-Corona, Running!
    Jon Lindén, CEO Ekkono Crises equals challenges – but also opportunities. Sometimes you need that special reason to stop and reconsider your priorities, what you are doing and why you are doing it. The Corona situation has taken previously unseen proportions. As we hopefully start to normalize after the summer vacations, there will be a… Read More »How to Enter Post-Corona, Running!
  • Sustainable and Smart IoT
    Jon Lindén, CEO Ekkono This is the most important reading you will do this summer. This will be your inspiration when you go on vacation, kick back in the hammock with a cold drink, and start thinking about the future. Because I will tell you what is, without a doubt, the next big sustainability leap.… Read More »Sustainable and Smart IoT

White Papers

  • How To Start An Edge Machine Learning Project
    October 2020 In this Ekkono SWP (Short White Paper) we explain how to get started with Edge Machine Learning; How to select your first project and what to think of when starting up. We also show you frameworks in forms of Scenario Matrix, a Use Case Stair and a CRISP-DM process. When starting this type… Read More »How To Start An Edge Machine Learning Project
  • Smart Battery Management
    June 2020 In this Ekkono SWP (Short White Paper) we discuss how the nature of IoT devices and their environments require adaptive Battery Management Systems (BMS), tailored for the specific device. We mean that incremental Edge Machine Learning is the enabling technology to do so. To be truly smart a BMS system should include all… Read More »Smart Battery Management
  • Federated Learning
    May 2020 In this Ekkono SWP (Short White Paper) we discuss the Pros ans Cons with Federated Learning. Machine Learning for IoT has traditionally been done by uploading all data from each connected device to the cloud to train a generic model that can be distributed and applied to all devices. The advantage of this… Read More »Federated Learning

From Our Blog