Insights, interviews, and features showcasing how Earzz is transforming proactive care, reducing falls, and supporting care teams across the UK.
Earzz Media Hub 2025
Main Feature
Armscare Group & NorCA
Showcasing AI in Care: A powerful discussion on how proactive acoustic monitoring is reshaping nighttime care.
“The results we’ve seen have been absolutely mind-boggling… in one home, we went from 13 falls a month to zero.”
RS
Raj Sehgal
Director, Armscare Group
Earzz in Media
Gold Care Homes
80% Reduction in Falls
Moving from pressure mats to AI-driven proactive care.
National AI Awards
Winner: AI Product of the Year
Recognised for privacy-first AI impact on resident safety.
Care England Webinar
Transforming Care Delivery
How AI sits at the heart of the modern digital care ecosystem.
Radio Interviews
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BBC Radio Norfolk
Interview: Raj Sehgal
Raj discusses the operational impact of implementing Earzz across Armscare Group homes, highlighting the transition from reactive to proactive nighttime care.
"It's not just about technology; it's about giving our carers the right tools to intervene before a fall happens."
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BBC Radio Norfolk
Interview: Prad Thiruvenkatanathan
Prad shares the founding story of Earzz, exploring the vision behind privacy-first acoustic AI and how intelligent listening is shaping the future of digital health.
"We wanted to build a system that listens out for critical events without ever compromising the privacy and dignity of the residents."
Learn how Earzz can help enhance dignified resident care, reduce falls, deliver proactive care and aid carer responsiveness.
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Product Disclaimer: Please note that Earzz has limitations and should not be relied upon in high-risk or emergency situations. The device won't work if used improperly or damaged. Earzz is continually improving, but it may not always be accurate or reliable in recognising sounds. See user manual for full details.
*Billed annually, see terms and conditions at www.earzz.com/website-terms-of-service **Notifications are usually delivered within 5 seconds of the sound event once recognised although this may vary depending on network.