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 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
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.
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)
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