Founder George Netscher watched his grandmother and aunt both develop Alzheimer's, and he knew his own mother would likely face it too. So he made a decision: while there was still time, build her better care technology. The idea grew directly out of his PhD research at UC Berkeley's AI Research Lab — it took shape in 2014, and the company was formally founded in 2016.
SafelyYou's core model is simple: put a camera in every room and let AI watch around the clock for falls, alerting staff the instant one is detected. But the real value isn't the alert itself — it's the playback. The care team reviews the footage afterward to understand what actually caused the fall (a slippery floor, getting up too fast, a medication side effect), turning a single fall from "an accident" into "a sample you can learn from" that feeds back into the care plan.
The first outside validation wasn't venture capital — it was government research funding: the National Science Foundation backed R&D in 2017, and the National Institutes of Health funded clinical validation in 2018 — that test found a 41% drop in falls and a 69% drop in fall-related ER visits, becoming the foundation for everything that followed. A 2019 peer-reviewed study in The American Journal of Managed Care tracked dementia care facilities and found an 80% reduction in fall-related ER visits after adoption; the company's own data shows roughly a 40% reduction in falls themselves; a study covering 80 senior living communities and nearly 4,000 residents, released in late 2024, found that residents using the service stayed, on average, more than four months longer than those who didn't.
In 2021 the company raised two rounds — a $19.5M Series A in September and a $40M Series B by year's end; in early 2025 a $43M Series C brought total funding to more than $100 million. In early 2024, SafelyYou made Fortune's "Impact 20" list. Today it covers more than 1,000 senior living communities and over 50,000 residents.
The story has a real catch, too: the trade publication McKnight's ran a piece in July 2026 titled "Cameras Can't Save Lives," pointing out that people with dementia often lack the capacity to consent to being filmed 24 hours a day, and whether a family member's consent can substitute for the person's own will is an ethical question with no clean answer. Figures like "80%" come from studies with limited sample size and control design and still await independent replication; staff working under cameras also bear real costs to their professional trust and dignity. The industry now has "no-camera" alternatives — millimeter-wave radar, Wi-Fi sensing, audio monitoring.