The mission of echosonic
At echosonic, we pursue a greener, securer and more human-orientated future of machine learning. By bringing the machine learning to MEMS microphones, echosonic-backed smart microphones offload the bandwidth and reduce the power consumption for cloud-based human voice and sound event recognition. Without data leaving the microphones, we address privacy and security concerns while achieving exceptional processing speed and inference accuracy compared to legacy smart devices.
The on-edge sound processing is an end goal for the next generation of smart devices, but incumbent solutions are limited by the chips’ cost and infrastructure required to support the ML model complexity. echosonic innovative approach avoids the software complexity by executing most of the computation in the analog and physical domain.
Who We Are
echosonic is a Montreal-based deep technology startup founded in 2022 focusing on bringing machine learning audio processing to edge devices. Why not join our growing list of evangelists? Get in touch today to learn more.
Co-founder & Technical lead
PhD in mechanical engineering and specialized in signal processing and machine learning with two patents and over 10 academia papers, Siyao is leading the R&D team.
Co-founder & Product lead
With an academic background in astrophysics, Marie-Eve starts in the start-up world as a developer and manager of the computer vision team at VyoO between 2019 and 2022. She is leading the product development of echosonic.
Seeking Top Talent
Collaboration and co-development
We are actively seeking industrial and academia partners for both research collaboration, and applications of our smart edge audio processing solutions. Please contact email@example.com for more details.