
Backed by years of academic research, Algorized enables a new world of sensing and positioning applications through a software-only upgrade to existing commodity sensors. The Algorized platform uses…

Backed by years of academic research, Algorized enables a new world of sensing and positioning applications through a software-only upgrade to existing commodity sensors. The Algorized platform uses…
What they do: Edge-native people-sensing and perception software that uses UWB, mmWave and Wi‑Fi with on‑edge ML to detect presence, track position, and infer vital signs and intent.
Stage / recent raise: Series A announced Feb 10, 2026 ($13M led by Run Ventures).
Founders / HQ: Co‑founders Natalya Lopareva (CEO) and Joseph Benraz; operations in Campbell, CA with Swiss roots (Etoy).
Employees: ~14 employees (company snapshot).
Physical-AI sensing and positioning for safety, robotics, automotive, and industrial applications.
2022
Software Development
$4.3M
Seed round included participation from Acrobator Ventures, Berkeley SkyDeck Fund, CoreNest Capital, Shucker Ventures and other strategic investors.
$13M
Series A included participation from Amazon Industrial Innovation Fund and Acrobator Ventures.
“Participation from the Amazon Industrial Innovation Fund and strategic/venture investors (Run Ventures, Acrobator Ventures, Berkeley SkyDeck Fund, CoreNest Capital, Shucker Ventures) indicating strategic interest from industrial and venture backers.”
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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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