Sensorydata

Sensorydata

Health-tech platform converting sensory data for healthcare.

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Sensorydata Corp, founded in 2018, is a health technology company headquartered in La Jolla, California. The company, led by CEO Reuben Katz, focuses on developing solutions to prevent and treat significant health issues like pressure injuries, which cause a large number of deaths annually. The firm's core product is a platform that captures data from vital senses. It utilizes textile and measurement technologies combined with artificial intelligence and machine learning to transform subjective sensory information into tangible, usable data.

This technology is designed to help reduce negative health impacts for individuals in hospital care. In line with this, the company developed an application to aid healthcare providers in assessing, treating, and preventing pressure-related injuries. This mobile app, known as InterPIP, was created in partnership with the National Pressure Injury Advisory Panel (NPIAP) and its European and Pan-Pacific counterparts, making the official Pressure Injury Prevention and Treatment Guideline available on mobile devices. During the COVID-19 pandemic, when clinical trials for its pressure measuring devices were paused, Sensorydata pivoted to address the shortage of Personal Protective Equipment (PPE), leveraging its contacts to source and supply masks.

Sensorydata operates as a privately held, venture-backed company. It has undergone at least two seed funding rounds, one in August 2019 and another in August 2021, raising $500K in the latter. The company serves the healthcare market, specifically hospitals and clinical settings, with a business model that appears to be centered on its health-tech platform and associated applications.

Keywords: health-tech, sensory data, artificial intelligence, machine learning, pressure injury prevention, medical devices, vital signs monitoring, healthcare data, clinical support tools, mobile health, mHealth, patient monitoring, textile technology, Reuben Katz, InterPIP, NPIAP, predictive health

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