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Embedl
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…
Embedl
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…
TL;DR
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)
Company Overview
Problem Domain
Edge AI / embedded deep learning model optimization and efficient on-device inference
Founded
2018
Industry
Software Development
Tech Stack
Funding Track Record
€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
Investor Signal
“Has backing from VC investors and public innovation funders (Fairpoint Capital, SEB Greentech VC, Spintop Ventures, Chalmers Ventures, ALMI Invest, European Innovation Council, STOAF)”
