+++SAFELYYOU CLOSES $43M SERIES C - JAN 2025 +++800+ SENIOR LIVING COMMUNITIES ON PLATFORM +++40% FEWER FALLS REPORTED ACROSS CUSTOMERS +++FOUNDED OUT OF UC BERKELEY AI RESEARCH LAB +++BACKED BY TOURING CAPITAL, FOUNDERS FUND, SAMSUNG NEXT +++18,000 RESIDENTS MONITORED, NO WEARABLES REQUIRED +++SAFELYYOU CLOSES $43M SERIES C - JAN 2025 +++800+ SENIOR LIVING COMMUNITIES ON PLATFORM +++40% FEWER FALLS REPORTED ACROSS CUSTOMERS +++FOUNDED OUT OF UC BERKELEY AI RESEARCH LAB +++BACKED BY TOURING CAPITAL, FOUNDERS FUND, SAMSUNG NEXT +++18,000 RESIDENTS MONITORED, NO WEARABLES REQUIRED
SafelyYou logo
Fig. 1 - The little box that calls the nurse
Company Profile / Healthcare AI

SafelyYou
watches the room.

A San Francisco AI company has put a quiet sensor on the wall of 800+ senior living communities. It does not nag. It does not ring a pendant. It waits, and when an elderly resident hits the floor at 3 a.m., it tells someone.

EST. 2015 SAN FRANCISCO, CA ~150 EMPLOYEES SERIES C / $134M+
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It is 2:47 a.m. in a memory care wing in Sacramento. An 84-year-old woman with mid-stage Alzheimer's swings her legs over the edge of her bed, stands, and goes down. There is no scream. There is no pendant pressed. There is, however, a small device in the corner of the ceiling that has been quietly watching the room. Within seconds, a clinician at SafelyYou's 24/7 response center in San Francisco has reviewed a short, encrypted clip of the fall and is on the phone with the night nurse. The resident is fine. The nurse has notes. The family will not be woken to a hospital call. That, in one sentence, is what SafelyYou actually sells.

Caption - The product is not a camera. The product is the phone call that follows the fall.
"Falls are the single biggest reason older adults leave their homes for higher levels of care. We are trying to push that moment further out." - George Netscher, Founder & CEO, in interviews 2024-2025

/ 01 / The ProblemWhat the founders saw

The Centers for Disease Control put the U.S. price tag of falls among older adults at roughly $50 billion a year. In senior living, a single fall is rarely a single fall. It is an ER visit, a hospital stay, a quiet downgrade from independent living to assisted living to skilled nursing, and a phone call to an adult daughter who suddenly has to rearrange her week. Operators of memory care communities live and die by this cascade. Their margins, their occupancy, their state inspections - all of it bends to how well they can keep residents on their feet.

The standard tools are not impressive. Pendants get taken off. Bed alarms scream into hallways and train residents to climb over them. Floor mats trip the people they are meant to protect. Wearables, the industry's great hope for a decade, run into a small problem: people with dementia tend not to wear things they do not recognize as theirs. And so, in the rooms where falls happen most, the technology has historically been worst.

Caption - The unspoken rule of memory care - if the resident has to remember to use it, it does not work.
"You cannot ask someone with Alzheimer's to wear a button. You have to meet them in the room they are already in." - Paraphrased from SafelyYou's product philosophy

/ 02 / The BetOne founder, one mother, one PhD

SafelyYou's origin story is the kind of story founders try not to tell at pitch meetings because it sounds too clean. In this case, it happens to be true. George Netscher grew up watching the women on his mother's side of the family - grandmother, aunt, others - lose themselves to Alzheimer's. As his own mother approached the age at which her relatives had begun to slip, Netscher was a graduate student at UC Berkeley's Artificial Intelligence Research Lab, working with Alexandre Bayen. He set up cameras in a bedroom and started writing computer vision code to do one specific thing: notice when a body went down.

That algorithm became a startup in 2015. The bet was almost contrarian for its era. Where most digital health companies were building apps for the worried well, SafelyYou aimed at a category that nobody wanted to look at directly - dementia. Where the industry kept promising consumer wearables, SafelyYou bolted its sensor to the wall and stopped expecting the patient to participate. The wearable that nobody has to wear, in other words.

Caption - Most AI companies want to be everywhere. SafelyYou wanted to be in one room, and to be right.
Field Notes

Ten Years on the Wall

A SafelyYou milestone reel
2015Spun out of UC Berkeley's AI Research Lab by PhD candidate George Netscher.
2017First pilot deployments in California memory care communities; early validation studies.
2019Cited in the U.S. Senate Falls Report as one of five most innovative fall technologies.
2020Pandemic surge - reported saving more than 1,000 RN hours across customer skilled nursing sites.
2022Named Inc. Best Place to Work; Fortune Impact 20 list.
2023Launched SafelyYou Aware - predictive fall-risk analytics on top of the detection platform.
2025$43M Series C led by Touring Capital. Total funding crosses $134M.

/ 03 / The ProductWhat the box on the wall does

From the resident's side, SafelyYou is unremarkable. A small unobtrusive device, ceiling-mounted, no buttons, no chirps. From the operator's side, it is doing three things at once. It runs computer vision models on board to recognize a fall in real time. It captures a short clip of the event - and crucially, only of the event, which is how the company has threaded the privacy needle in bedrooms where 24/7 surveillance would be unthinkable. And it pipes that clip to a remote clinician who can confirm what happened, talk a staff member through response, and turn the fall into structured data the community can actually learn from.

The newer layer, SafelyYou Aware, looks at patterns rather than incidents. It watches how a resident moves through their room across weeks - the time of day they get up, how steady they look, how often they sway near the bed - and flags rising fall risk before the floor gets involved. It is the difference between an alarm and a forecast.

Caption - The hardware is boring on purpose. Excitement is for cars and phones, not for ceilings in memory care.
"We do not record the room. We record the moment. That is the entire trust contract." - SafelyYou design principle
Receipts

The numbers SafelyYou puts in front of operators

Reported customer outcomes / self-reported
Fall reduction
-40%
EMS calls
-80%
Fall-related ER visits
-69%
Length of stay (2+ yr customers)
+2x
Fall detection accuracy
99%

Caption - If half of these hold up at a third the size, it is still a very loud business case.

/ 04 / The ProofCustomers, capital, applause

SafelyYou says it covers more than 800 senior living and memory care communities and roughly 18,000 residents. Its customer list reads like a tour of the senior living industry - national chains and regional operators in roughly equal measure - and its investor list reads like a quiet who's who of AI and healthcare bets: Touring Capital led the $43M Series C in January 2025, with Foundation Capital, Founders Fund, Samsung Next, Qualcomm Ventures, Cross Creek and senior living REIT Omega Healthcare Investors also on the cap table. Total funding now sits above $134 million.

The trophy shelf is, if anything, the less interesting half of the story. McKnight's Tech Partner of the Year. Fortune's Impact 20. Two-time Inc. Best Place to Work. A nod in the 2019 U.S. Senate Falls Report. None of that matters as much as the fact that operators who run SafelyYou for two years or more report doubling the length of stay for residents in their communities. In senior living, length of stay is the single biggest lever on revenue. It is the metric the chief financial officer pulls up first in the morning. SafelyYou has, in effect, found a way to move it by watching the bedroom.

800+
Communities
18K
Residents
$134M
Total Funding
~150
Employees
Caption - The unglamorous truth about healthcare AI - the hardest thing is not the model. It is the 800th sales call.
"Length of stay is the only number that matters in this industry. Anything that moves it is a category." - Senior living operator, quoted in trade press

/ 05 / The MissionQuietly raising the floor

Ask Netscher about the mission and he gives you a sentence the company puts on the website: reshape dementia care through trusted technology and expert insights, creating a world where falls are fewer and dementia care is elevated. It is the kind of line that would be saccharine if the underlying math did not back it. The U.S. is staring at a demographic wall - more older adults than caregivers, more dementia diagnoses than memory care beds - and the labor side of the equation is not going to be solved by hiring. SafelyYou's bet is that the only way through is ambient intelligence in the room, doing the work of a second set of eyes, so that the human staff who remain can spend their time on the things that actually require humans.

This is, of course, exactly the kind of pitch every AI startup is making in 2026. The difference, when you peel SafelyYou apart, is the unglamorous specificity. They did not promise to fix healthcare. They picked one room, one event, one population, and learned it cold. Wilde would have approved - the company is just specialized enough to be useful and just stubborn enough to be interesting.

Caption - AI as plumbing, not magic. The pipes do not need to be admired, they need to work.

/ 06 / What's NextThe forecast layer

The next chapter is predictive. Detection is now table stakes for SafelyYou; its newer customers buy it for the data and for SafelyYou Aware. The promise is that a community can look at its book of residents and rank them by who is most likely to fall in the next 30 days, the way an insurer ranks risk. That changes what care planning looks like. It changes when families get called. Done well, it changes the whole rhythm of memory care from reactive to anticipatory. Done badly, it becomes another dashboard nobody opens. Which version SafelyYou builds will determine whether the next decade is theirs.

There is also the unsexy work of integrations. SafelyYou is increasingly plumbing itself into electronic health records, care planning systems and senior living back-office software. That is how a fall detection company becomes a platform. It is also how a sensor in a corner becomes infrastructure.

/ 07 / Back to the BedroomThe 2:47 a.m. call, revisited

Return to the room in Sacramento. The 84-year-old is back in bed. The night nurse has filed the incident, which SafelyYou has already pre-populated for her. The daughter, three hours south in Long Beach, will get a phone call in the morning instead of in the middle of the night. The community will not be hauled into a state inspection over an unwitnessed fall, because the fall was, in fact, witnessed. The resident will probably stay in this wing rather than be moved to a higher-cost setting, which is good for her, good for her daughter, and good for the operator who would otherwise have lost the bed for two weeks during a hospital stay.

None of this is dramatic. That is the point. SafelyYou's argument, in the end, is that the future of eldercare looks less like a robot and more like a small box on a wall that just happens to be very good at one specific job. The technology disappears. The 3 a.m. fall does not, but everything that used to come after it - the ambulance, the ER, the long slide down the levels of care - has a chance of disappearing instead. Falls are not going away. The cascade behind them, if SafelyYou has its way, just might.

"The right kind of AI in eldercare is the kind nobody notices until something goes wrong. Then it is the only thing in the room." - Editorial observation