About
RADAREYE is a startup focused on commercialising recent breakthroughs in cross-modal radar-camera self-supervised learning.
The company is targeting the automotive market as an immediate route to the commercialisation of its technology, with medium-term plans for home automation, healthcare, smart cities, and industrial surveillance applications.
Product
Technology
The Radium approach
Radar is not susceptible to the same limitations as cameras — it can see through bad weather like fog and detect cars.
We have built an ML model that is able take the radar data and recognise the patterns that represent cars.
The output of our model is the position of cars. This inference is used within car navigation system.
Radium in a nutshell
Figures show how we train Radium (on the left), and how we deploy Radium (on the right). Foggy images are the reference visual scenes of the radar heatmaps on the right. Radar allows us to accurately detect and localise cars under bad visibility, whereas detection is not viable from the corresponding foggy images.
Team
Mo Alloulah
Founder & CEO
Rani Mouchamel
Co-Founder & COO
RADAREYE’s co-founders have 44+ years combined experience in silicon, radar, perception, automotive, operations, and leardership, most recently at Nokia Bell Labs and General Motors. The company is based in London.
Advisors
Haitham Hassanieh
Professor, EPFL
Dominique Guinard
VP Innovation, Digimarc
RADAREYE is fortunate to be advised by a top academic and a London-based startup co-founder with successful exit.
Publications
info@radareye.ai
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