Kaspard

Kaspard, a Brussels-based scale-up founded by Philippe Kaplan in 2017, operates in the HealthTech sector, focusing on elder care in facilities like nursing homes and hospitals. The company was born from CEO Philippe Kaplan's transition from a career in large financial organizations to the medical field, where he identified a critical need expressed by healthcare professionals for a reliable and non-intrusive fall detection system. This led to the development of Kaspard, a solution created in collaboration with healthcare professionals to address the high incidence of falls among the elderly, a leading cause of accidental death in this demographic.

The core of Kaspard's business is a contactless device that detects, analyzes, and prevents falls. The product is a small, 3D distance sensor installed on the ceiling in the corner of a resident's room, which creates a point cloud to represent the room's relief and identifies movement. This technology, which is image-free, ensures resident privacy while monitoring for falls and prolonged bed exits, which are strong indicators of fall risk. When a fall is detected or a resident is out of bed for a customizable period, the system sends an instant alarm to the nursing staff's DECT phones or smartphones, reducing intervention time to under two minutes. The system operates on a local server with low bandwidth usage and can be integrated into a facility's existing nurse-call system.

Kaspard's business model targets care facilities, providing them with a tool that has been shown to reduce falls by as much as 67%. Beyond immediate fall detection, the system provides data and analysis on residents' night-time activity. This information helps staff understand resident behavior, personalize care, and adjust treatments in consultation with physicians, effectively turning the device into a preventative tool. The company has raised a total of $4.79M in funding over four rounds, with its latest Series A round in July 2021. Kaspard is primarily deployed in Belgium and France.

Keywords: fall detection, elder care technology, patient monitoring, HealthTech, 3D sensor, assisted living, predictive analytics, risk prevention, nursing home safety, healthcare data