Haven uses passive in-home sensing and wearable intelligence to detect subtle changes in how your loved one moves — weeks before a fall occurs. No pendants. No buttons to press.
By the time a fall happens, the window to prevent it has already closed. Every existing product works the same way — wait for someone to hit the ground, then send an alert. Meanwhile 1 in 4 seniors fall every year, fall-death rates have surged +41% since 2012, the average fall-related ER visit costs $18,658, and 67% of those costs are paid by Medicare — which has every incentive to fund prevention over treatment.
Haven is built for every kind of aging-in-place family — across generations, cultures, and homes. These are the families we're building it for.
"Mamá won't admit when her hip hurts. Last month Haven flagged her walking speed dropping for four days straight — I called her that night and we got her to PT before the next flare."
Daughter of Abuela Rosa · Phoenix, AZ
"Dad's proud — wouldn't wear a pendant if his life depended on it. Haven is invisible, which is the only reason it works. He doesn't know it's there, and I sleep better knowing it is."
Son of Mr. Clarence · Atlanta, GA
"My parents live with us, but I travel for work. Beacon gives me one number every morning with a short sentence of context — exactly what a loving child wants to know, and nothing more."
Eldest Chen daughter · Three generations under one roof
"After Grandma's fall two years ago we almost moved her into assisted living. Haven gave us the data to trust that she's steady enough to stay — and a warning system if that ever changes."
Kate's granddaughter · Denver, CO
Measurable gait deterioration shows up two to six weeks before a fall — reduced walking speed, shortened stride, increased step-to-step variability. The data is there. What's been missing is a consumer platform that collects it continuously and actually acts on it.
Gait speed is now recognized in geriatric medicine as the sixth vital sign. Walking speed below 0.8 m/s predicts not only falls but also cognitive decline, hospitalization, and mortality.
Modern machine-learning models analyzing temporal gait features from a single walking cycle achieve 93.6% classification accuracy for fall risk in elderly populations. Haven's approach synthesizes data from environmental sensors, wearable accelerometers, and optional vision systems — building a more complete movement profile than any single-modality system.
Measurable gait deterioration — reduced walking speed, shortened stride length, increased step asymmetry — can be observed 2 to 6 weeks before a fall event. Gait & Posture, 2023
The changes are often imperceptible to family members — and to the individual experiencing them. But they are measurable by sensor systems operating continuously, twenty-four hours a day.
Hardware you place, software you carry — and nothing leaves the home.
Three devices in the home. One hub at the edge. One dashboard for the family. Five platforms, zero raw-data egress.
RF-based presence and gait sensing — no cameras, no microphones. Plug it in; it learns the rhythms of the home.
Turns the Apple Watch, Fitbit, or Garmin they already wear into a continuous gait-baseline engine. No new hardware.
Computer-vision pose estimation for higher-risk situations. Privacy-tiered and entirely family-controlled.
The nervous system. Every signal processed locally; only derived insights ever leave the home.
What families see every day. A single daily risk score, contextualized alerts, and a weekly health narrative — in plain English.
Haven doesn't just watch for events. It learns your loved one's personal rhythm, then watches for the drift.
Stride passively observes how they walk — speed, cadence, symmetry, arm swing — and builds a gait fingerprint unique to them.
Every walk through the home is compared against the baseline. No cameras. No wearables beyond the watch they already own.
Stride length shortens 8%. Walking speed drops 0.15 m/s over three weeks. Left-right asymmetry increases. Too subtle for clinical observation. Haven sees it.
Beacon alerts the caregiver. Physical therapy is ordered. Home modifications are made. The ER visit that would have cost $18,658 never occurs.
Beacon delivers a risk score and plain-English context — not a flood of raw data. You'll know when something is drifting, what's driving it, and what to do next.
No more guessing whether that one recent stumble was a fluke or a pattern. Haven sees the pattern.
Haven's architecture is rooted in a robust body of peer-reviewed work on sensor-based human-activity recognition and gait-based fall prediction.
Haven's clinical vision module and remote-monitoring model are built on regulatory precedents already set by radar-based health monitors on the market.
Xandar Kardian's XK300 — a radar-based contactless vital-sign monitor — received FDA 510(k) clearance as a Class II medical device in April 2021. Haven's Stride engine uses a related RF modality for a complementary application.
This positions Haven for expedited clearance through the identical substantial-equivalence pathway. 510(k) is additive upside — not a gating dependency for consumer launch.
Similar RF technologies already qualify for Medicare reimbursement under Remote Physiologic Monitoring codes. Once Haven achieves clearance, the same pipeline activates.
The core customer does not pay out of pocket — Medicare does. Haven aligns with Medicare's multi-billion-dollar incentive to fund prevention over treatment.
Haven exists because falling shouldn't be an inevitability of aging. With the right technology — passive, predictive, and privacy-preserving — we can see risk before it becomes injury, and do it without cameras, wearables, or compromising anyone's dignity.
No cameras. No microphones. No cloud-first architecture. Haven processes data at the edge and only transmits anonymized, derived insights. Privacy isn't a feature — it's the foundation.
Every claim we make is grounded in peer-reviewed research. RF-based gait analysis, predictive fall-risk modeling, and passive sensing are validated technologies — not vaporware.
Aging adults aren't patients to be monitored. They're people who deserve to live independently, safely, and with full agency. Our technology is invisible because their life is what matters.
Business development professional with deep experience in enterprise SaaS sales and AI-powered marketing technology. Currently at Typeface, navigating complex enterprise sales cycles and driving AI adoption with Fortune 500 decision-makers.
Brings a maker's mentality to product development — hands-on hardware prototypes, software tools, and AI agents. Responsible for Haven's business strategy, fundraising, go-to-market execution, and investor relations.
Technical co-founder responsible for Haven's RF sensing architecture, firmware development, AI/ML pipeline design, and cloud infrastructure. Leads engineering across the Steadfast sensor array, the Stride analytics engine, and the Vigil clinical dashboard.
Owns the complete hardware-to-software pipeline — from sensor selection and embedded systems design through edge compute optimization and cloud-scale data processing.
Every tier includes the Anchor hub and the Beacon family dashboard. Start light. Expand as needs change.
Life Alert, Medical Guardian, and Apple Watch all detect falls after they happen — they're reactive. Haven is predictive. It monitors subtle changes in gait, movement patterns, and daily routines to identify rising fall risk weeks before a fall occurs.
Haven also requires zero compliance from the senior: no pendants to wear, no buttons to press, no devices to charge or remember.
Haven's core system — Steadfast sensors, Stride wearable overlay, Anchor edge hub, and Beacon dashboard — uses no cameras whatsoever. Vigil is an optional computer-vision module for higher-risk situations, and it is entirely family-controlled and privacy-tiered.
All data processing happens locally on the Anchor hub inside the home. Raw data never leaves the premises.
Peer-reviewed research demonstrates AI models analyzing gait parameters achieve 90–95% sensitivity in identifying individuals at elevated fall risk. A 2024 study in Frontiers in Artificial Intelligence reported 93.6% accuracy using temporal gait features from a single walking cycle.
Haven's multi-sensor approach — combining environmental, wearable, and optional vision data — is designed to exceed single-modality accuracy by building a more complete movement profile.
Haven is designed for adult children caring for aging parents who want to live independently. The senior is the monitored individual, but the primary buyer and daily dashboard user is the family caregiver — typically a 45-to-65-year-old professional managing care from a distance.
Haven provides peace of mind without disrupting the senior's independence or dignity.
Haven is in active development and launching in 2026. Waitlist members get first access to pilots, founding-family pricing locked in for life, and direct access to our clinical team during the pilot phase.
The consumer product is a wellness platform, not a diagnostic device. Vigil is being pursued on an FDA 510(k) pathway as a Class II medical device for use in higher-acuity and institutional settings, using the BioSensics LEGSys as the predicate. FDA clearance is additive upside — not a requirement for consumer launch.
Questions, partnerships, press, or investor inquiries — we read everything. We guarantee a response directly from the founders within one business day.
Haven Home Wellness, Inc. · Delaware C-Corp
Leesburg, VA · info@havenhomewellness.ai
Privacy isn't a feature of our product — it's the foundation. This policy explains how Haven Home Wellness collects, processes, and protects your data.
Haven Home Wellness, Inc. ("Haven," "we," "us," or "our") is committed to protecting the privacy and dignity of every individual who uses our products and services. Our predictive fall-prevention platform was designed with a privacy-first architecture because we believe that safety and privacy are not competing goals — they are complementary ones.
This policy applies to information collected through the Haven sensor platform (Steadfast, Stride, Beacon, Vigil, and Anchor), our website at havenhomewellness.ai, and any related services or communications.
Account information. When you create a Haven account or contact us, we may collect your name, email address, phone number, mailing address, and billing information.
Device information. We collect information about Haven devices installed in your home, including device identifiers, firmware versions, network configuration data, and operational status.
Website information. When you visit our website, we may collect standard web analytics (IP address, browser type, pages visited, referring URLs) to improve the site and understand how visitors find us.
Haven does not use cameras, microphones, or any imaging technology. Our sensors analyze radio-frequency signals — the same type used by your home Wi-Fi router.
What we sense: movement patterns and room-to-room transitions, gait characteristics (stride length, cadence, velocity), activity classifications (walking, sitting, sleeping), and environmental context (presence, room occupancy).
What we do NOT collect: no video, images, or photographs of any kind; no audio, voice recordings, or conversations; no biometric identifiers (fingerprints, facial recognition); no personal communications; no browsing history or internet usage data.
Edge processing. Haven processes raw RF data locally on the Anchor hub device in your home. Raw RF signals are never transmitted to the cloud. Only derived, anonymized analytics (gait scores, risk levels, trend data) leave the device.
We use collected information to generate gait analysis and fall-risk assessments, send alerts through Beacon, provide clinical data to authorized healthcare providers through Vigil, improve our algorithms and product performance, communicate with you about your account and services, and comply with legal obligations.
Haven does not sell your personal information. We do not share your data with advertising networks, data brokers, or any third party for marketing purposes. We may share information in limited circumstances: authorized caregivers and family members you designate through Beacon; healthcare providers with your explicit consent; emergency services during an acute emergency; service providers bound by confidentiality agreements; and where required by law.
Haven implements industry-standard security measures, including encryption in transit (TLS 1.3) and at rest (AES-256), role-based access controls, regular security audits and penetration testing, secure development practices, and incident-response procedures. No system is completely secure, but we strive to protect your information rigorously.
We retain your information for as long as your account is active or as needed to provide services. Derived analytics data (gait scores, risk trends) is retained for clinical utility — typically 24 months of historical data. Raw RF data is processed on-device and is not retained after processing. You may request deletion of your data at any time.
Depending on your location, you may have rights to access, correct, delete, and port your personal information, to opt out of certain data uses, and to withdraw consent where processing is based on it. To exercise any of these rights, contact us at info@havenhomewellness.ai.
To the extent that Haven collects, stores, or transmits Protected Health Information (PHI) as defined under HIPAA, we comply with applicable HIPAA requirements. Haven will enter Business Associate Agreements (BAAs) with healthcare providers and covered entities as required. Our platform is designed to support HIPAA-compliant data handling throughout the care continuum.
Haven's services are not directed to children under the age of 13. We do not knowingly collect personal information from children under 13. If we learn that we have collected such information, we will promptly delete it.
We may update this Privacy Policy from time to time. We will notify you of any material changes by posting the updated policy on our website and, where appropriate, by email.
If you have questions about this Privacy Policy or our data practices, please contact us at privacy@havenhomewellness.ai or info@havenhomewellness.ai.
The full Terms of Service for Haven's products and website are available on request. Haven is in pre-launch development; platform terms will be finalized before public release.
For questions about terms, licensing, or commercial partnerships, contact info@havenhomewellness.ai.