Taking Care has supported over 250,000 people and their families across the UK, handling 1.78 million alarm calls and resolving 65,700 emergencies in the past year alone. They are the UK’s leading personal alarm provider — but the challenge they brought to QuidVista wasn’t about responding to emergencies faster. It was about preventing them from happening in the first place.
The Problem Worth Solving
One in three people over the age of 65 experience a fall every year. In England alone, that translates to 250,000 hospital admissions annually — with falls representing the leading cause of emergency department visits in older adults. For Taking Care, whose entire business is built around keeping people safe and independent, the question was clear: what if you could see a fall coming before it happened?
The answer was Autumn.
What Autumn Does
Autumn is an AI-powered health monitoring platform that transforms passive activity data into proactive, personalised risk management. Rather than waiting for an emergency to trigger a response, Autumn continuously analyses behavioural patterns to identify when someone’s fall risk is rising — and acts on that intelligence up to ten days in advance.
At its core, Autumn integrates with Fitbit smartwatch technology to capture daily movement, activity levels, and physiological signals. That data feeds into an AI model trained to detect the subtle changes in activity that precede a deterioration in balance, strength, or mobility — the factors that lead to falls. When risk indicators emerge, the platform generates personalised Action Plans and triggers alerts so that intervention can happen early, while there is still time to make a difference.
The Platform We Built
QuidVista built Autumn from the ground up, designing a system that had to be clinically credible, consumer accessible, and operationally robust at scale.
AI and predictive analytics The fall risk prediction engine sits at the heart of the platform. We built the data pipeline to ingest and normalise activity signals from wearable devices, and designed the model infrastructure to generate risk scores continuously — surfacing meaningful alerts without overwhelming users or the Taking Care clinical team with noise.
Fitbit and wearable integration Autumn integrates directly with Fitbit’s API to pull activity and health data in real time. Building a reliable, resilient integration with a third-party device ecosystem at scale requires careful design — we built with fault tolerance, data reconciliation, and long-term API stability in mind.
Consumer-facing prevention app The Autumn app gives users and their families visibility of activity trends, risk status, and personalised guidance. We designed this to be simple enough for older adults who may not be confident technology users, while surfacing enough detail to be genuinely useful.
Automated alert and workflow engine When the AI detects elevated risk, Autumn automatically notifies the right people — the user, their family, and Taking Care’s Prevention Team — through the right channel at the right time. We built the alerting infrastructure to be configurable, auditable, and capable of handling the volumes that come with a national rollout.
Clinical operations tooling Behind the consumer experience, we built the operational layer that Taking Care’s Prevention Team uses to manage high-risk cases, track outcomes, and deliver the welcome assessments and follow-up calls that are central to the service model.
The Impact
The research underpinning Autumn is compelling. Monitored activity devices have been shown to reduce overall hospital admissions in older adults by 50%, and reduce admissions specifically due to falls by 44%. For a health system under sustained pressure, and for the hundreds of thousands of families who want their loved ones to stay independent for longer, those numbers matter.
Taking Care’s Prevent service — powered by Autumn — is already receiving strong early interest, with subscribers offered price guarantees through to 2027 as the platform moves from pre-launch to full availability. The Trustpilot rating of Excellent (4.5+) across Taking Care’s broader product range reflects the quality standard the Autumn platform has been built to meet.
Why This Project Matters
Autumn represents a shift in what a personal alarm company can be. Taking Care’s existing products are outstanding at responding to emergencies — the 24/7 Emergency Resolution Team, the fall detection pendants, the GPS-enabled GO device. But Autumn changes the model from reactive to predictive: using data and AI not to respond to what has already happened, but to change what happens next.
Building that kind of platform requires more than technical capability. It requires understanding the clinical context, the regulatory environment, the user population, and the operational workflows that connect a consumer app to a team of healthcare professionals. That is precisely the kind of complex, high-stakes product challenge that QuidVista is built for.
If you are working on a platform that sits at the intersection of technology, data, and real-world human outcomes — get in touch. We would be glad to discuss it.