Passive · Predictive · Private

Peace of mind that watches over the ones you love.

The intelligent guardian for aging — at home and in care. edgecare.ai learns the quiet rhythms of a life and warns you days before the fall, the wandering, the hospital visit. Every calculation happens inside the room. No wearables. No video in the cloud. The intelligence never leaves the building.

100%On-device processing
100+Movement metrics, 30× a second
73MSeniors by 2030
$284BHome-healthcare market
The problem

Traditional care is breaking — three crises are converging.

A demographic surge, a collapsing care workforce, and unsustainable economics leave families with no good options. Technology is the only way to care for 73 million aging Americans.

$115K

Annual nursing-home cost

Median private-room rate — out of reach for most families, and rising.

$240K

24/7 home-care cost

Round-the-clock caregivers now cost more than institutional care.

765K

Caregiver shortage

Direct-care job openings every year — a gap that hiring alone can't close.

77%

Want to age at home

Most seniors want independence and dignity — not institutions.

Two-minute overview

See how edgecare.ai works.

The intelligent guardian system

One private device. Five ways it understands.

edgecare.ai learns each resident's normal, predicts decline before it becomes an emergency, and surfaces the signals that matter — through passive cameras, with zero video ever leaving the home.

Gait & mobility

Walking speed, stride, steadiness and balance — tracked continuously. Gait change is the earliest visible signal of changing health.

Continuous, passive analysis →

Predictive analytics

Decline indices and anomaly detection that surface a developing problem weeks before it becomes an emergency.

Catch decline early →

Trends over time

A personal baseline built over weeks and months, so genuine change stands out clearly from the normal rhythms of aging.

Understand the trajectory →

Activity & rest patterns

Daily rhythms, activity volume and sleep — shifts in routine that quietly signal emerging health issues.

Behavioral & circadian signals →

Intelligent alerts

Clear, triaged alerts in plain English, sent only to the people you choose — family, a caregiver or your doctor.

From insight to action →
Temporal AI · Predictive by design

We don't watch moments.
We understand the trend.

A model predicts gait, balance and behavior over time — surfacing the subtle changes that precede a crisis, weeks before a check-in would catch them.

1

It sees how someone moves

A few seconds as someone walks to the kitchen or down the hall is all it needs — no wearables to charge, nothing to remember, no 24/7 watching.

2

It learns what's normal for them

Over a few weeks it gets to know each person's usual rhythm, so even small changes in how they walk or how active they are stand out.

3

It warns you early

By spotting those quiet changes, it can tell the difference between ordinary aging and a real problem developing — giving you a heads-up to share with your doctor before it becomes an emergency. It observes; it never diagnoses.

Velocity0.88 m/s
Cadence104 spm
Double support27 %
Privacy by architecture

Care that lives at the edge, not in the cloud.

Privacy is the #1 barrier to adoption — so we eliminated it at the hardware level. Everything is processed on-device; only encrypted alerts ever leave the home.

100% edge processing

Video never leaves the camera. Frames are turned into numbers in real time and deleted immediately — nothing is saved, so an unplugged device holds nothing to steal.

Only insights leave the home

No image or video is ever transmitted. The device sends only encrypted, anonymized signals — a trend, a score, an alert.

HIPAA Compliant by Design

Privacy and security are built into the platform from the ground up — compliance is part of the architecture, not an afterthought. Families and care teams can trust their data is protected.

No video ever leaves the homeOnly encrypted alerts are sent
What we measure

Every step, quietly understood.

edgecare.ai watches the signals that matter — walking speed, steadiness, activity and rest — and learns how each one trends over time. Families see a calm summary; care teams see the clinical depth.

A few of the signals we watch

Measurable impact

Proactive care, measurable outcomes.

Catching warning signs early turns reactive treatment into prevention — adding healthy years at home, not just years.

40%
Fewer hospitalizations
Fewer admissions, through early prediction and intervention.
60%
ER visits prevented
Early prediction cuts unnecessary emergency visits.
12–18
Months more independence
Proactive care helps people stay autonomous longer.
People

Developed by renowned experts with the experience to deliver.

Three decades each at the intersection of finance, data, medicine and engineering — now focused on aging gracefully in the comfort of your home or care.

“I watched my dad live with Parkinson’s for fifteen years. I can’t help wondering what we could have caught, and how much earlier.”
— Peter Memon, Co-founder
Portrait of Peter Memon, co-founder of EdgeCare.aiFounder
Peter Memon
Founder

Serial entrepreneur and engineer; Co-Founder & CTO of All In on Data. Three decades building front-office systems at HSBC, Lehman, Barclays and JPMorgan.

Peter led architectural development at Lehman Brothers, managed risk and analytics data at Barclays Capital, and headed an elite R&D team at JPMorgan Chase before serving as Head of Emerging Technology at Synechron. A graduate of Rensselaer Polytechnic Institute in Computer Engineering and Mathematics, he chairs the Industry Advisory Board for RPI's Lally School of Management — and is also an accomplished carpenter, former professional photographer and writer.
Portrait of David Gleason, co-founder of EdgeCare.aiFounder
David Gleason
Founder

Chief Data & Analytics Officer with 25+ years leading data strategy at Virgin Money, Deutsche Bank and JPMorgan Chase.

At Virgin Money, David was brought in by the CEO to modernize the data platform and build advanced analytics and AI capabilities. He drove cloud migration at Deutsche Bank and created a bank-wide data management function at JPMorgan Chase. He has presented at Harvard and is a founding member of the Microsoft-sponsored Data Explorers Club — combining deep technical expertise with board-level credibility and commercial focus.

Advisors

Portrait of Dr. Sarah G. Taylor, Chief Medical Officer of EdgeCare.aiCMO
Dr. Sarah G. Taylor
Chief Medical Officer · MD, FACC

Board-certified cardiologist and electrophysiologist; 20+ years in remote monitoring and digital health, guiding clinical and FDA strategy.

Portrait of Susan Brett, advisor to EdgeCare.aiAdvisor
Susan Brett
Advisor

35+ years in home health; Chief Strategy Officer of People Care and one of New York's most influential home-care policy voices.

Portrait of Benjamin Sylvester, advisor to EdgeCare.aiAdvisor
Benjamin Sylvester
Advisor

PE & AI executive; Group CEO of Cerberus Technology Solutions, driving AI value creation across a $65B platform.

Portrait of Dr. Deepak Vashishth, advisor to EdgeCare.aiAdvisor
Dr. Deepak Vashishth
Advisor

Chaired Professor of Biomedical Engineering at RPI; Co-Director of the RPI–Mount Sinai Center for Engineering & Precision Medicine.

Join the aging-in-place revolution.

A future where seniors keep their independence and dignity — and families have peace of mind without sacrificing privacy.

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