The AI team is responsible for extracting life-critical insights from large amounts of real-time streaming sensor data. The insights, which target a broad spectrum of e-health challenges, are delivered by our machine learning models that are analyzing data at scale in our cloud-based distributed computing engine. We develop the insights by taking ownership of the complete development process, starting with on-the-ground data collection, and ending with re-iterative model improvement guided through performance monitoring and end-user feedback. Technology-wise, we work in a tech landscape of Python, TensorFlow/Keras, Apache Spark, Golang, SQL, and Kubernetes as the primary languages and frameworks. At the core of our technology is the ML-model architectures, performing temporal and spatial pattern recognition, which are based on deep CNNs, RNNs as well as classic machine learning algorithms, depending on real-time requirements and the complexity of data. We work on applied end-to-end AI solutions that make a difference by keeping up with the state-of-the-art technologies and frameworks.
@Munkbron 11
We are proud of our Swedish heritage, but we are also a growing an international company. At our office in Gamla Stan, Stockholm, we are a team of 40 with more than 10 nationalities in the team, and we now have team members based in the UK and the US as well.
Why join us?
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Tech, tech, tech...
Many of us are here for the tech crunch and the chance to explore and learn more about innovative technology. -
Growing with you
We're growing our business, and that means there is a great opportunity for you to make a real difference and be a part of an exciting stage in our development. -
Making the world a better place
Yes, we aim to provide peace of mind, freedom, and dignity to the elderly and their families. That's what keeps us going.