With a clear mission in mind
Embedl aims to revolutionize the world of embedded systems by commercializing its state-of-the-art Deep Learning Model Optimization SDK. The SDK enables users to develop market leading solutions by making deep learning based AI not only affordable but also remarkably energy efficient.
At the core of Embedl's success lies its cutting-edge Model Optimization SDK, which bridges the gap between the brilliant minds of data scientists and the technical expertise of computer engineers. By combining the power of AI algorithms with hardware expertise, Embedl paves the way for groundbreaking advancements in the field.
Driven by a passion for innovation and excellence, Embedl maintains close connections to academic research and actively collaborates with leading European industry players. This fruitful collaboration fosters a vibrant innovation ecosystem, allowing Embedl to continuously push the boundaries of what is possible in the realm of embedded systems.
Furthermore, Embedl proudly boasts established connections to venture capital, ensuring the necessary resources to further propel its vision forward. This strategic partnership empowers Embedl to drive innovation at an unprecedented pace, creating a strong foundation for its future growth and success.
In summary, Embedl is not just a company but a catalyst for change. By making DL-based AI accessible and efficient in embedded systems, Embedl is revolutionizing industries and empowering businesses to unlock the true potential of artificial intelligence.
Devdatt is a Professor in the Data Science and AI Division of the Department of Computer Science and Engineering at Chalmers University of Technology and co-founder of Embedl. He received his Ph.D. in Computer Science from Cornell University USA and was a postdoctoral fellow at the Max Planck Institute for Computer Science in Saarbrueken Germany. He was with BRICS (Basic Research in Computer Science, a center of the Danish National Science Foundation) at the University of Aarhus and then on the faculty of the Indian Institute of Technology (IIT) Delhi before joining Chalmers in 2000. He has led several national projects in machine learning and has been associated with several EU projects. He has been an external expert for the OECD report on “Data Driven Innovation”. He has published regularly in the premier machine learning and AI venues such as NIPS, ICML and AAAI.
Hans is the CEO and co-founder of Embedl. He received his M.Sc. in Complex Adaptive Systems from Chalmers University of Technology in 2012 and holds double B.Sc. degrees: B.Sc. in Engineering Physics and B.Sc. Industrial and Financial Management. Hans has through his career in industry and academia worked to improve machine learning and deep learning on a range of challenging problems – from industry 4.0 to sub-nuclear physics. He is a two-fold McKinsey Business Case Competition winner and is passionate about high-tech commercialization strategies.