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.
