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Algorized

Category: Robotics / Embodied AI

An edge-native Physical AI platform that transforms commodity Ultra-Wideband (UWB) radar sensors into high-fidelity perception systems for human detection and vital signs monitoring. Algorized was founded in 2022. The company is led by Natalya Lopareva. Based in Étoy, Switzerland. Team size: 10-50. Total funding raised: $17.3M. Latest round: Series A (Feb 2025). Key investors include Run Ventures, Amazon Industrial Innovation Fund, Berkeley SkyDeck, Acrobator Ventures.

Founded
2022
Headquarters
Étoy, Switzerland
Team size
10-50
Total funding
$17.3M

Value proposition

Enables robots and smart devices to perceive human presence and intent through occlusions (walls, smoke, darkness) using software-only upgrades to existing low-cost sensors, ensuring high precision without privacy risks.

Products and solutions

Presence Sensing Software (Human detection and tracking), Vital Signs Monitoring (Non-contact breathing and heart rate detection), In-Cabin Sensing (Automotive child presence detection), Through-Wall Perception Algorithms, Edge-Native Signal Processing Engine

Unique value

Developed a 'software-defined radar' approach that allows commodity UWB chips to perform complex perception tasks typically requiring expensive LiDAR or privacy-invasive cameras.

Target customer

Robotics OEMs, automotive manufacturers, industrial safety providers, and smart building developers.

Industries served

Robotics, Automotive, Industrial Automation, Smart Buildings & Security, Healthcare (Remote Monitoring)

Technology advantage

Edge-native processing eliminates the 'latency tax' for real-time robotics; hardware-agnostic software reduces BOM costs for OEMs; privacy-by-design architecture avoids the use of visual sensors.

How they differentiate

Algorized differentiates through a 'software-defined radar' approach. Unlike competitors who often sell proprietary hardware-software bundles, Algorized provides a hardware-agnostic, edge-native software layer that transforms low-cost, commodity Ultra-Wideband (UWB) chips into high-fidelity perception systems. This eliminates the need for expensive LiDAR or privacy-invasive cameras while reducing the 'latency tax' for real-time robotics.

Main competitors

Vayyar Imaging, NOVELDA, Xandar Kardian, Bitsensing

Key partnerships

Amazon Industrial Innovation Fund (Strategic Investor/Partner), Qorvo (UWB Hardware Integration Partner), MassRobotics (Robotics Ecosystem Collaboration), Berkeley SkyDeck (Accelerator & Strategic Network), Zurich University of Applied Sciences (ZHAW) (Research Collaboration), KUKA (Strategic Robotics Partnership - CES 2026 Debut), ASUS IoT (AIoT Alliance Program Partner - Nov 2025), Aria Sensing (UWB Radar Platform Collaboration - MWC 2026)

Notable customers

Amazon (Strategic Investor/Partner), Qorvo (Hardware Integration Partner), MassRobotics (Ecosystem Partner), KUKA (Strategic Robotics Partner), ASUS IoT (AIoT Alliance Partner), Aria Sensing (UWB Radar Collaboration Partner)

Major milestones

Selected for Berkeley SkyDeck Accelerator Program (B17) in 2023, Winner of VentureBeat's Women Entrepreneur in AI Award, Closed $4.3M Seed round in November 2024, Named Captain of the Swiss National Startup Team for MWC 2025, Debuted with KUKA at CES 2026 - First Robot with Intuition, Joined ASUS AIoT Alliance Program (Nov 2025), Secured $13M Series A led by Run Ventures in February 2026, Strategic collaboration with Aria Sensing at MWC 2026

Growth metrics

Transitioned from accelerator stage (Berkeley SkyDeck B17) to commercial scaling; expanded team to 10-50 employees; secured strategic backing from Amazon's industrial arm.

Market positioning

Edge-native Physical AI perception layer for robotics, automotive, and industrial IoT.

Geographic focus

Global, with primary operations in Switzerland (HQ) and the United States (Silicon Valley/Berkeley), targeting manufacturing hubs in North America, Europe, and Asia-Pacific.

Patents and IP

Proprietary machine learning algorithms and signal processing IP rooted in advanced Swiss research for through-wall human detection (specific patent numbers not publicly disclosed).

About Natalya Lopareva

Natalya is a serial entrepreneur and deep-tech leader with over 15 years of experience in supply chain and advanced sensing. Prior to Algorized, she was the Founder and CEO of ARHUB (2016–2023), an AI-enabled smart sensing and security company. She is a recognized expert in Ultra-Wideband (UWB) radar applications and has led research collaborations with the Zurich University of Applied Sciences (ZHAW).

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