RIA Toolkit
RF machine learning
A toolkit built to make RF machine learning more accessible.
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Builds machine learning software and IP for software-defined radios, covering RF signal sensing, classification and intelligent radio. Its quantum work is a federally backed quantum algorithm for radio signal sensing.

Canadian innovation builds a brighter tomorrow.
Builds machine learning software and IP for software-defined radios, covering RF signal sensing, classification and intelligent radio. Its quantum work is a federally backed quantum algorithm for radio signal sensing.
Received support from FedDev Ontario's Regional Quantum Initiative to expand its quantum computing algorithm for radio signal sensing; no amount was disclosed. qoherent.ai
Selected for NATO DIANA's 2026 cohort, one of 22 Canadian firms among 150 innovators chosen from 3,680 applications, under Advanced Communication Technologies. spaceq.ca
Completed an ESA/CSA ARTES project delivering machine learning workflows and over 30 models for RF impairment recognition and fingerprinting in satellite communications. qoherent.ai
Accepted into ventureLAB's Hardware Catalyst Initiative in July 2021 to build hardware and software for its testbed and machine learning products. qoherent.ai
Its completed ARTES project 6B.126, a CSA-supported and ESA co-funded activity, built machine-learning classifiers for radio-frequency impairments in satellite communications. qoherent.ai
Products Qoherent publishes on its own site. Each card links to the page it was taken from.
RF machine learning
A toolkit built to make RF machine learning more accessible.
Learn moreDevelopment platform
A web-based development platform that lets you wield the RIA Toolkit, enabling accelerated research and development without the need to write code.
Learn moreHow Qoherent says its technology can be deployed and delivered.
Helping organizations tackle RF challenges with machine learning, building and prototyping smarter and more autonomous RF systems.
End-to-end RF, SDR and open-source 5G engineering support, accelerating the path from concept to operational capability.
Sourced from the company's own pages or announcements.
Ash Beigi
Founder & CEO
Lorne Swersky
Machine Learning Lead
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