Designing Safer: Embedl CEO Hans Salomonsson on Optimization, SLMs, and Mission-Critical Systems
What does it take to build AI for mission-critical edge systems—where efficiency, safety, and privacy aren’t just nice-to-haves, but non-negotiable?
In this EDGE AI Foundation partner spotlight, Hans Salomonsson, co-founder and CEO of Embedl, joins Pete Bernard to unpack the journey from Chalmers University research to becoming a go-to platform for embedded AI optimization.
From automotive and defense to robotics and medtech, Embedl helps companies turn resource-hungry models into deployable solutions that run on real-world hardware—with the guardrails required for safety-critical environments.
In this wide-ranging conversation, we cover:
The origin story: Why Embedl started with a passion for automating AI design
Why optimization must happen inside a customer’s infrastructure—not in the cloud
Embedl’s shift from a tools company to a full platform supporting profiling, compatibility, and deployment
How they support hundreds of AI engineers at companies like Volvo, Saab, Airbus, Kodiak Robotics, and Bosch
The launch of Embedl Hub—with access to 50+ hardware targets and a free device cloud
And the release of highly optimized SLMs (small language models) like Qwen, Gemma, and LLaMA, now available on Hugging Face
If you care about performance, safety, and scaling edge AI in the real world—this one’s for you.
🎥 Watch the full conversation with Embedl CEO Hans Salomonsson → https://youtu.be/t9oLQUjk1Gs
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