A senior care platform company using an innovative IoT hardware + software solution to continuously monitor and assess the well-being of older adults. Their technology uses composite environmental sensors to infer each senior’s daily activities—creating a real-time view of individual well-being.
To deliver on the promise of being “the next best thing to being there,” the client needed every device to behave like a personalized caregiver. That meant each device had to automatically learn and adapt to the unique habits of individual seniors—at scale, and with minimal manual setup.
thinkbridge engineers built an adaptive machine learning system that learns each senior’s unique routines and flags irregularities that could signal shifts in health or behavior. Unlike static rule-based setups, this model evolves through real-world use—getting smarter with every caregiver correction and daily interaction. It’s embedded directly into each device, meaning no extra setup, no retraining, and no disruption to existing care workflows. Today, it powers thousands of devices, delivering deeply personalized support that feels less like software and more like an attentive companion.
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