Inspiren

Inspiren

Uses machine learning and industrial design to help nurses keep track.

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$35.0m

Series A
Total Funding000k

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Revenues, earnings & profits over time
USD20222023
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% growth-13 %
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Source: Dealroom estimates

More about Inspiren
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**Inspiren: Revolutionizing Patient Care with AI and IoT**

Inspiren is a cutting-edge startup that has developed the world's first cognitive patient care assistant. The company operates in the healthcare technology market, specifically focusing on patient monitoring and care optimization. Inspiren's primary clients are hospitals, nursing homes, and other healthcare facilities that aim to improve patient safety, enhance staff efficiency, and manage infection control more effectively.

The core of Inspiren's business model is its innovative hybrid sensing platform. This platform combines computer vision (technology that allows computers to interpret and make decisions based on visual data), environmental sensing (monitoring factors like sound, light, and temperature), and IoT (Internet of Things) connectivity. These technologies work together to analyze and understand the physical and digital environment of a patient or resident in real-time. By aggregating and analyzing clinically significant behavioral, environmental, and digital data, Inspiren provides actionable insights at the point of care.

Inspiren makes money through the sale and installation of its cognitive patient care assistant systems. The company also likely generates revenue from ongoing service agreements, maintenance contracts, and potential data analytics services. The system is designed for easy implementation and seamless integration into existing care environments, which minimizes disruption and maximizes efficiency.

Inspiren has received numerous accolades, including the Nurse Innovation of the Year award from the American Nurses Association, and recognition from MedTech Breakthrough, Time Magazine, and the Edison Awards. These honors underscore the company's impact and innovation in the healthcare sector.

**Keywords:** Cognitive Patient Care, AI, IoT, Computer Vision, Environmental Sensing, Patient Monitoring, Healthcare Technology, Staff Efficiency, Infection Control, Real-Time Data.

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