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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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