Embedl AB
Embedl enables a world where physical AI is accessible, safe, and free from traditional computing constraints by optimizing deep learning models for edge devices.
At a Glance
AI Tools by Embedl AB
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hfviewer
Hugging Face Model Visualizer
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Latest News
Embedl launches 'Edge AI Application of the Month' challenge for developers.
Embedl introduces hfviewer to visualize any Hugging Face model.
Embedl secures €5.5M investment round to scale sustainable edge AI.
Embedl named to the 2025 CB Insights AI 100 list of most innovative AI startups.
Products & Services
A secure MLOps platform for compliant edge AI workflows, providing debugging, validation, graph analysis, and access to device farms for benchmarking.
A library of popular models (LLMs, VLMs, VLAs) pre-optimized for specific edge hardware targets, including variants of Llama 3.2, Qwen, and Gemma.
Edge AI conversion and compilation toolset featuring hardware-aware PyTorch operations and quantization constraints for predictable performance.
Market Position
Embedl positions itself as a leader in 'Physical AI', offering hardware-aware optimization that preserves model accuracy while significantly reducing memory and energy footprints compared to standard compilers.
Leadership
Founders
Hans Salomonsson
CEO and Co-founder. Received M.Sc. in Complex Adaptive Systems from Chalmers University of Technology (2012) and holds double B.Sc. degrees in Engineering Physics and Industrial/Financial Management. Experienced in machine learning across industry 4.0 and sub-nuclear physics. Two-fold McKinsey Business Case Competition winner.
Devdatt Dubhashi
Chief Scientist and Co-founder. Professor in Data Science and AI at Chalmers University of Technology. PhD from Cornell University. Postdoc at Max Planck Institute for Computer Science. Expert for OECD report on Data Driven Innovation. Published in NIPS, ICML, and AAAI.
Executive Team
Hans Salomonsson
CEO & Co-founder
M.Sc. in Complex Adaptive Systems, expert in industrial machine learning and high-tech commercialization.
Devdatt Dubhashi
Chief Scientist & Co-founder
Professor of Data Science and AI at Chalmers University; PhD from Cornell; expert in algorithm design.
Board of Directors
Founding Story
Embedl was spun out of deep learning research at Chalmers University of Technology by Hans Salomonsson and Prof. Devdatt Dubhashi. Their vision was to bridge the gap between high-level AI research and the severe resource constraints of embedded hardware in real-world products.
Business Model
Revenue Model
B2B subscription and licensing for the optimization platform (Hub) and pre-optimized AI models.
Target Markets
- Automotive
- Defense
- Robotics
- IoT
- Aerospace
- Autonomous driving systems
- Drone-based object detection
- Industrial robotics
- Edge-based generative AI
- Defense AI systems
- Bosch
- Zenseact
- Kodiak Robotics
- SAAB