“We’re delighted to join the EDGE AI Foundation and contribute to a growing community that’s connecting the ecosystem, accelerating innovation, and bringing capable, efficient AI to billions of devices. We’re excited to work together with the community to push the efficiency frontier of AI on embedded systems and make those capabilities accessible to developers bringing intelligent products to life.” – Luke Taylor, CEO
The platform helps developers build more capable AI for smart wearables, audio, vision and industrial products through a vendor-agnostic deployment workflow. DeepGate’s compiler achieves up to 2× faster inference and over 3× lower RAM usage than TensorFlow Lite Micro, while its model optimization technology produces models that run up to 45× faster using over 10× less RAM while maintaining accuracy – enabling more capable AI on smaller, lower-cost hardware.
The team consists of scientists and engineers with PhDs and extensive industry experience in machine learning, compiler design, and embedded systems.
We are excited to have DeepGate join our ecosystem!