Algorized

Algorized is a technology company with operations in Switzerland and Silicon Valley that develops a people-sensing and perception AI platform. The company was co-founded by CEO Natalya Lopareva and emerged from years of academic research at a university in Zurich focused on locating people trapped in buildings during disasters. This early work in detecting human presence and vital signs through walls laid the groundwork for the company's current technology.

The core of Algorized's business is a software-only solution that transforms existing commodity wireless sensors—such as Ultra-Wideband (UWB) radar, mmWave, and Wi-Fi—into sophisticated people-sensing devices. By using proprietary machine learning algorithms processed at the edge, the platform can provide real-time data on human presence, positioning, movement, and even vital signs like breathing and heart rate, without the need for cameras or wearables. This allows machines to perceive and predict human intent with very low latency, enabling them to operate safely and efficiently in shared environments. The technology is designed to "see" through obstructions like dust and darkness, moving beyond simple "detect-and-stop" systems.

Algorized operates on a business-to-business model, targeting enterprise clients in the industrial robotics, automotive, and smart infrastructure sectors. Its business model includes direct sales and partnerships with hardware manufacturers, with a tiered subscription (SaaS) based on usage and features. The company's main product, the 'Predictive Safety Engine', is an edge-AI foundation model that serves as an intelligence layer for Physical AI. This engine helps clients in industrial automation and manufacturing to improve safety and operational efficiency by allowing robots and humans to collaborate more fluidly. Another key application is in the automotive industry, providing solutions for in-cabin child presence detection to meet safety regulations.

Since its founding, Algorized has achieved significant milestones, including securing a $4.3 million seed funding round in November 2024, led by the Amazon Industrial Innovation Fund. This was followed by a $13 million Series A round in February 2026, led by Run Ventures, with continued participation from Amazon's fund. The company has engaged in multiple paid pilots and secured its first long-term contract, expanding its team and establishing a presence in the US. It has also formed strategic partnerships with major industry players like KUKA and ASUS.

Keywords: people-sensing software, Physical AI, edge AI, human-machine interaction, sensor fusion, UWB radar, predictive safety, industrial automation, robotics safety, vital sign monitoring, human presence detection, smart infrastructure, automotive safety, occupancy monitoring, real-time positioning, machine learning algorithms, contactless sensing, asset tracking, situational awareness, industrial IoT