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- About - Embedl
Revolutionize the world of embedded systems with Embedl's state-of-the-art Deep Learning Model Optimization SDK Affordable and energy-efficient AI solutions for groundbreaking advancements in the field
- Embedl Secures €5. 5M Investment Round to Scale Sustainable Edge AI
Embedl secures €5 5M to scale its sustainable edge AI platform, optimizing AI models for energy efficiency and performance in automotive, robotics, and defense sectors globally
- Research | Hans Salomonsson
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
- Embedl
Discover Embedl's innovative AI optimization solutions for edge devices, enhancing performance and efficiency while reducing latency and costs for developers across various industries
- Career - Embedl
Join us at Embedl, a deep tech company dedicated to developing tools for the next generation of Deep Learning based AI products We have open positions for Software Engineers, Deep Learning Engineers, and Deep Learning Researchers in Gothenburg Apply now and be part of our success!
- FAQ - Embedl
Get answers to frequently asked questions about the Embedl Model Optimization SDK Learn about Python SDKs, the supported Python versions, features of the Embedl SDK, hardware and operating system compatibility, and the benefits of Neural Architecture Search Contact us for more information
- Embedl is on the 2025 CB Insights’ List of the 100 Most Innovative AI . . .
Embedl has been named to CB Insights’ 2025 AI 100 list for its pioneering work in AI model optimization and accelerating deployment in embedded systems The company has been recognized for its efficiency and scalability in edge AI solutions
- Research - Embedl
Revolutionize embedded systems with deep learning Explore cutting-edge research in deep learning compression, network architecture search, quantization strategies, and innovative hardware design Join our research consortium today!
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