Ekkono is a software company that does Edge Machine Learning. This means that we enable fast development and deployment of smart maintenance and optimization features on connected things (IoT).
Tell us about yourself?
I’m a serial entrepreneur. My latest endeavor was my most successful one where we took the company from scratch to moving the headquarters to Silicon Valley, going public on the NYSE, re-IPO on NASDAQ and $100M in annual sales to telecom operators. It was in my role at Procera, talking to operators world-wide that I saw the potential of everything getting connected and how it’ll require that all these things become self-learning and predictive. I found the solution with my co-founder, our CTO Rikard König, when I did a project on commercialization at the University of Borås where Rikard led the research on predictive modeling.
What is the inspiration behind your business?
The day I can walk through town and point that “there’s Ekkono inside, and there’s Ekkono inside” then I know we have saved a lot of energy by running products optimally, a lot of headache by avoiding failures, and a lot of premature retirement of products by extending their life-length.
What is your magic sauce?
Our product is the result of 7 years of university research that enables us to scale across all things connected, from large down to super-small, which is a total potential market of 83 billion connected devices in two years from now. But more importantly, we can do incremental learning at the edge, onboard the connected devices. This enables automated individual learn, customization, but also adoption to new conditions, improved data integrity, and much more. We’re state-of-the art and built-for-purpose, which is why we rock!
Where do you see your company going in 5 years time?
In five years, Ekkono is the default option for making connected things smart, which means that I will not only walk through MY town pointing out that “there’s Ekkono inside”, but any town in the world. Then we know that we’ve really made a difference for a better world.
What has been your biggest setback so far?
The pandemic has been tough. A lot of innovation projects have been postponed. We’re a leading pioneer in our space, and as such we’re still in the innovation budget, which has impacted our growth and development plan the last two years. But now, even though we’re still in the pandemic, we’re seeing a change in attitude that is really encouraging and refreshing.
What is the next big challenge for your business?
It’s not a question ‘if’ Edge Machine Learning will take off, but ‘when’. It’s a question of timing to be ready when the avalanche happens. I’m paranoid about missing a single opportunity, which is hard when there’s snow all around.
How do people get involved/buy into your vision?
Our guiding star is that “giving is getting” and our communication is all about thought-leadership and sharing what we know and what we learn. We never turn down an invitation to talk about what we do and why, since I’m a big believer in serendipity and that good things happen to good people 😉