Developing and Deploying AI Solutions in Healthcare with Sensi.AI and Flint Capital

Sensi.AI, a company that developed audio-based AI software to detect and predict anomalies that can impact the health of those receiving in-home care, has raised $25 million in funding. The company, which was founded in 2018 by Romi Gubes, a software engineer, uses a combination of AI and audio monitoring to detect key events in and around patients’ environments. To date, Sensi.AI has captured more than 10 million caregiver interactions from tens of thousands of people throughout the U.S. in order to train its AI system. The company’s technology aims to detect if a caregiver has a specific problem, such as transitioning the older adult from bed to the chair, where this is a major risk factor for both of them. However, privacy is also an essential factor, since it is challenging to remotely monitor patients without violating their privacy. Sensi.AI doesn’t use cameras for monitoring, and the system is compliant with HIPAA, one of the major medical records privacy bills in the U.S. Romi hopes that Sensi.AI can grow into a care tool that clinicians and even parents of older adults can use to keep track of what’s going on in the home of a vulnerable patient.