Embedl builds AI inference optimisation tools that enable developers to deploy CNNs, transformers and other models directly on edge hardware. Its core offerings include a Model Optimization SDK that prunes, quantises, and compresses models, plus visualization tools and a modular architecture for hardware-aware optimisation and cross-platform deployment. The company serves defence, automotive, and robotics clients and has supported customers such as Bosch and Kodiak Robotics. Embedl’s technology can reduce energy use by up to 83% and halve hardware costs through efficient model optimisation, addressing rising inference costs and demand for low-power, real-time on-device AI. A spinoff from Chalmers University of Technology that began commercial operations in 2022, Embedl plans to accelerate commercialisation and launch its SaaS platform, Embedl Hub, with the new funding.

Total raised

$6M

Funding rounds

1

Latest round

Series A

Latest activity

Jun 2025