Our Story
We were founded 2016 by two researchers and Örebro university Holding AB. Part of the pre-incubator at Örebro university, ORU Innovation.
Our staff has scientific knowledge with over 15 years working experience with state-of-the-art algorithms in machine learning and AI and a broad experience from various fields (robotics, computer vision, healthcare) and different types of data (transactional data, time-series data, image data)
One of our first customers was BeeScanning, which won several awards thanks to the AI solution based on computer vision to fight the Varoa virus.
Other early customer projects were in the fields of predictive analytics and recommender systems based on different time-series-analysis models.
2020 new team members joined us with expertise in industrial manufacturing as well as machine learning. In 2021 KA Automation joined as industrial partners and 2022 we added additional employees and co-owners to the team with expertise in system architecture and machine learning.
We are Stage 3 (Accelerate) members of AI Innovation of Sweden.
Our company culture we nurture
We are a team of curious and devoted data scientists, researchers and senior business development specialists with experience from the public sector as well as the private and from large organizations as well as from start-ups.
What we have in common is our belief that AI can do good. For businesses as well as for society.
In addition to our core team we collaborate closely with partners in our eco-system.
Our Team
We have broad experience in various fields, from robotics to computer vision and healthcare. We have worked with different types of data, for instance, transactional data, time-series data, and image data.
We are data scientists and machine learning experts that make AI and the use of machine and deep learning accessible, easy to use, and tailored to your needs.
daniel fennhagen
B.Sc in Computer Science • AI expert
”It's exciting to apply the newest technologies to real-world problems.
There are numerous problems that can be solved using Machine Learning. I look forward to a future where companies and society can work efficient with the help of Machine Learning.
Neurolearn is a very appealing company to me as we are still quite small where things move fast, we are able to move ground quickly.”
Torbjörn Stavenek
MSc In Computer Science • Cloud and AI Architect
"I am excited about the possibilities in the intersection between business and technology
and in all my endeavours I strive to deliver ustomer value quickly.
The potential of AI is huge and it is thrilling to hear about the continuous innovations.
I see AI as a truly disrupting technology that will affect all aspects of how companies operate and I want to help as many companies as possible to succeed on their AI journeys.”
Oscar Thörn
MSc In Computer Science • AI expert
“I believe that Machine Learning and related technologies has great potential to help both companies and societies to perform better and my objective is to be a part of driving that development.”
Edwin Holst
M.Sc in Data Science and AI
”As an avid learner and problem-solver, I am passionate about applying the latest technologies to real-world challenges. At Neurolearn, I am excited to be part of a small, dynamic team where we can move fast and make a real impact. My objective is to enable companies to capture the opportunities that AI innovation creates and learn together with the companies in the process.”
Helena Söderström
MSc in International Business Administration • CEO
”It is truly inspiring to be a part of developing Neurolearn from a research-based start-up to an important value-creating company.
There are enormous opportunities for private and public companies by applying machine learning to data and information.
I want to inspire organizations to explore where the most promising applications are for them, which will create customer value and return on investment.”
Amy Loutfi
PhD and Professor of Information Technology • Founder and member of the Board
“I conduct research in intelligent sensor systems and how they function in various environments and in their interaction with humans.
There are sensors everywhere, but it is still a challenge to analyse the data which these sensors collect.
The goal is to convert that data to useful information for anyone that may have a use for it.”
Hans Sollerman
Investor and Entrepreneur • Chairman of the board
”My dream is to convert research and innovations into successful companies that do good for our society.
I have started and run a number of companies in my career, the latest, E-man, started with two employees and we were 165 when it was sold.
Now I devote my time to support other entrepreneurs to grow their businesses.
Neurolearn will be an important part of the new environment that is emerging, driven by the technological development combined with the society and market expectations on improved solutions to tackle our future sustainability challenges.”