
Algorized provides AI-powered people-sensing that detects human presence and vital signs to improve safety and human–machine interaction. It converts low-cost ultra-wideband (UWB) radar signals into…

Algorized provides AI-powered people-sensing that detects human presence and vital signs to improve safety and human–machine interaction. It converts low-cost ultra-wideband (UWB) radar signals into…
Product: Edge-AI people-sensing platform that converts UWB and other wireless radar signals into presence, tracking and vital-sign data
Use cases: Automotive in-cabin safety, industrial people safety, robotics HMI, infrastructure and elderly care
Founded: 2022
Headquarters: Campbell, California and Etoy, Switzerland
Funding: $17.3M total (Seed $4.3M; Series A $13M)
Team size: ~18 employees
Safety and human–machine interaction via people-sensing and vital-sign monitoring using wireless sensors and edge AI.
2022
Software Development
$4,300,000
Seed round to advance people‑sensing and positioning software
$13,000,000
Series A with participation from the Amazon Industrial Innovation Fund and Acrobator Ventures
“VC-backed with strategic participation from Amazon Industrial Innovation Fund and multiple early‑stage investors”
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About the Company
Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors—enabling safer human-machine co-presence.
As we continue to scale rapidly, we are looking for a DevOps/MLOps Engineer who is genuine passionate about innovation, product development and building robust systems end-to-end. If you thrive in dynamic startup environment, take ownership, and know to seamlessly connect backend, frontend, and embedded systems, we’d love to meet you.
Key Responsibilities
Minimum Requirements
Preferred Qualifications
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