
Embedl helps companies run deep learning models on tiny, power-constrained devices by shrinking models and speeding up inference while keeping accuracy. It does this through the Embedl Model Optimization SDK — a B2B SaaS toolkit for model compression and efficient inference that integrates with common AI workflows and is built on deep learning tooling (Python-based) for edge and embedded deployment. The SDK delivers large reductions in memory and energy use and boosts inference speed (website-reported improvements up to ~95% memory reduction, ~83% lower energy, and up to 18x faster inference). Typical customers are deep learning engineers in industries such as automotive, defense, IoT, and aerospace deploying edge AI on cost- and power-constrained hardware. Embedl is a Chalmers University spin-out focused on commercializing model optimization research for embedded intelligence at scale.

Embedl helps companies run deep learning models on tiny, power-constrained devices by shrinking models and speeding up inference while keeping accuracy. It does this through the Embedl Model Optimization SDK — a B2B SaaS toolkit for model compression and efficient inference that integrates with common AI workflows and is built on deep learning tooling (Python-based) for edge and embedded deployment. The SDK delivers large reductions in memory and energy use and boosts inference speed (website-reported improvements up to ~95% memory reduction, ~83% lower energy, and up to 18x faster inference). Typical customers are deep learning engineers in industries such as automotive, defense, IoT, and aerospace deploying edge AI on cost- and power-constrained hardware. Embedl is a Chalmers University spin-out focused on commercializing model optimization research for embedded intelligence at scale.
What they do: Model optimization SDK and MLOps/runtime for running energy-efficient deep learning on power-constrained edge and embedded devices
Founded / origin: Chalmers University spin-out, founded 2018
Headquarters / presence: Gothenburg, Sweden; U.S. presence in Palo Alto, CA
Recent funding: €5.5M raised on 2025-06-18 (co-led by Fairpoint Capital, SEB Greentech VC, Spintop Ventures)
Edge AI / embedded deep learning model optimization and efficient on-device inference
2018
Software Development
€5.5M
Round co-led by Fairpoint Capital, SEB Greentech VC and Spintop Ventures; continued support from existing investors
SEK 45M
Included co-financing from the European Innovation Council
“Has backing from VC investors and public innovation funders (Fairpoint Capital, SEB Greentech VC, Spintop Ventures, Chalmers Ventures, ALMI Invest, European Innovation Council, STOAF)”
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Embedl is a fast-growing technology start-up based in Gothenburg, Sweden. With a team of over 20 dedicated professionals, we are on a mission to make AI affordable and efficient in embedded systems. Our development team is headquartered in Gothenburg, and our innovative solutions serve customers all over the world. We maintain close connections with academic research institutions, industry leaders, and the innovation ecosystem, supported by strong relationships with venture capital partners.
Technical Customer Lead Göteborg Full-time unspecified
As Technical Customer Lead, you sit at the intersection of engineering and customer success. Your mission is to ensure that every customer can leverage Embedl’s SDK and research breakthroughs with confidence and speed. You will guide onboarding sessions, run deep-dive workshops, translate customer needs into engineering tasks, and create crisp technical collateral that elevates both our users and our internal teams.
Must-Have:
Nice-to-Have:
The selection and interview process is ongoing, so please send your application in English as soon as possible. For any questions or clarifications, reach out to Ann Tornberg at ann@embedl.com.
You are welcome at Embedl for who you are, no matter where you come from, what you look like, or what your favorite IDE is. Join us at Embedl and be a part of shaping the future of efficient AI!