Pre-seed · $400k raise

Predicting falls
before they happen

Haven turns your home into a silent guardian using proprietary technology to predict a fall before it happens. Nothing to wear. Nothing to remember. Just protection that works the way it should — invisibly.

0s
An older adult falls every 8 seconds in the U.S.
0 min
A fall-related death occurs every 12 minutes
$0B
Annual healthcare cost of non-fatal falls
$0B+
Projected cost by the year 2030

Falls are the #1 killer of older adults. Current solutions only react.

Every existing fall detection product works exactly the same way: wait for someone to hit the ground, then send an alert. Haven is building the first system that sees it coming.

1 in 4
Adults over 65 fall each year — and less than half tell their doctor
+41%
Surge in fall death rates from 2012 to 2021
$18,658
Average cost per inpatient hospital visit from a fall injury
67%
Of fall-related costs are paid by Medicare ($53.3B annually)

A growing crisis with no predictive solution.

Over 10,000 Americans turn 65 every day. The aging population is accelerating, and fall-related injuries and deaths are rising faster than the population itself.

Today's fall detection products — wearable pendants, camera systems, smart watches — share a fundamental flaw: they are reactive. They detect impact after it happens. By then, the damage is already done.

Research proves that gait abnormalities are established predictors of fall risk. Subtle changes in walking speed, stride length, and balance appear weeks or months before a fall occurs. The technology to detect these changes contactlessly exists — it just hasn't been commercialized.

Three sensing layers. One intelligent hub. One daily risk score.

Haven deploys three proven sensing technologies — each capturing a distinct signal — fuses them through Anchor™, the Matter-compatible smart home hub, and delivers intelligence through Beacon™, the family dashboard.

Wi-Fi CSI

Steadfast™

Presence & Reactive Detection

A small radar sensor — the size of a smoke detector — sends invisible radio waves that bounce off the body. It measures walking speed, step length, gait symmetry, and balance with clinical precision.

  • Uses existing Wi-Fi infrastructure
  • Cost-effective sensor deployment (<$10)
  • No cameras, no wearables
  • Works through walls
  • mmWave Radar

    Stride™

    Predictive Gait Analysis

    Stride integrates with Apple Watch, Fitbit, Garmin, and other popular wearables to build a continuous personal gait and movement baseline. It tracks step frequency, stride length, sleep patterns, and balance trends — monitoring gait, activity, and sleep passively through the watch your parent already wears

    • Stride is the signal layer that makes AI prediction possible
    • No new hardware. No new device to charge.
    • It turns an existing wearable into a fall prevention tool.
    Computer Vision

    Vigil™

    Camera-enabled Pose Estimation

    Hi-Res camera performs real-time gait and posture analysis using pose estimation AI — capturing micro-changes in movement that passive sensors alone cannot detect.

    • Most data-rich monitoring available
    • Designed for highest-risk seniors
    • Privacy tiered — families choose their level
    • Captures micro-movement other sensors miss
    Steadfast™
    Stride™
    Vigil™
    Edge Processing Hub

    Anchor™

    Matter-compatible smart home hub

    Anchor is the nerve center of every Haven home. It aggregates data from all three sensing layers, runs edge AI inference locally — keeping data in the home first — and bridges Haven into the broader smart home ecosystem via Matter protocol. Lights illuminate a path when nighttime movement is detected. Voice assistants can relay wellness updates. The home itself becomes responsive.

    Apple Home
    HomeKit integration via Matter
    Google Home
    Nest & Assistant integration
    Amazon Alexa
    Echo & smart home routines
    Anchor™ → Beacon™
    Intelligence Layer

    Beacon™

    Family dashboard & alert intelligence

    Beacon is where families see everything. Anchor processes and fuses data from Steadfast, Stride, and Vigil — then pushes unified insights to Beacon as a single daily risk score, trend visualizations, tiered alerts with AI context, and weekly health narratives.

    Steadfast™
    Presence, activity patterns, reactive fall events
    Stride™
    Gait baselines, degradation trends, predictive warnings
    Vigil™
    Posture analysis, micro-movement data, real-time AI
    Anchor™
    Edge AI fusion, Matter smart home bridge

    From detection to prediction

    Haven doesn't just catch falls — it catches the warning signs weeks before they happen, enabling life-saving intervention.

    Weeks 1–4: Contextual Baseline

    Stride™ passively observes how each person walks — speed, cadence, symmetry, arm swing — and builds a personal gait fingerprint unique strictly to them.

    Ongoing: Invisible Monitoring

    Every walk through the home is compared dynamically against the baseline. No cameras. No wearables. The resident remains completely oblivious to the system.

    Early Warning: Degradation Detected

    Stride length shortens by 8%. Walking speed drops 0.15 m/s over three weeks. Left-right asymmetry increases. Too subtle for clinical observation — but Stride captures it.

    Intervention: The Fall Never Happens

    Beacon alerts the caregiver or clinician. Physical therapy is ordered natively. Home modifications are made. The ER visit that would have cost $18,658 never occurs.

    Everyone Else

    • Detects falls after impact
    • Requires wearables or vulnerable cameras
    • Binary signal: fell / didn't fall
    • Reactive — trauma already sustained
    • Relies on user compliance to wear device

    Haven Home Wellness

    • Predicts and prevents falls natively
    • Completely contactless and passive
    • Continuous, nuanced gait fingerprint data
    • Proactive — enables pre-emptive intervention
    • Zero user friction or effort required

    Five products. One ecosystem.

    Each platform addresses a distinct layer of fall prevention — allowing standalone deployments or seamless bundling.

    SF

    Steadfast™

    Wi-Fi CSI Sensing

    Always-on presence detection, activity recognition, and reactive fall detection mapping onto existing Wi-Fi infrastructure.

    ST

    Stride™

    mmWave Radar Analysis

    Predictive gait analysis engine. Builds personal baselines, detects degradation trends, and generates early warnings. The ultimate moat.

    VG

    Vigil™

    Camera-Enabled Computer Vision

    Real-time gait and posture analysis via pose estimation AI. The most data-rich monitoring available — designed for highest-risk seniors. Privacy tiered and family-controlled.

    AN

    Anchor™

    Matter-Compatible Smart Home Hub

    The central nervous system. Aggregates all sensor data, runs edge AI inference locally, and bridges Haven into Apple Home, Google Home, Alexa, and SmartThings via Matter protocol.

    BC

    Beacon™

    Family Dashboard & Alert Intelligence

    Daily risk scores, trend visualizations, tiered alerts with AI context, and weekly health narratives. The product families interact with every day.

    Peer-reviewed. Validated.

    Haven's architecture is rooted in a robust body of academic research validating RF-based sensing for elite human activity recognition.

    98%
    Fall detection accuracy using mmWave radar with semi-supervised learning models.
    mmFall — IEEE Trans. Automation
    96%
    Gait step time measurement accuracy mapping FMCW radar in real environments.
    PMC / Sensors, 2022
    >90%
    Activity recognition accuracy across 8 unique environments utilizing Wi-Fi CSI.
    EHUNAM — Nature Scientific Data
    125
    Diverse volunteers tested (ages 6–63) validating the mmWave gait ecosystem.
    RDGait — ACM UbiComp, 2024
    1.2TB
    Extensive public CSI+BFI dataset spanning 20 activities across complex NLOS scenarios.
    CSI-BFI-HAR — IEEE DataPort
    510(k)
    FDA pathway actively pioneered by competitors for parallel radar monitoring models.
    Precedent Validation

    510(k) Substantial Equivalence

    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 us perfectly for expedited clearance through the identical substantial equivalence pathway, drastically reducing regulatory friction.

    Medicare CPT Code 99454

    Similar RF technologies already qualify for robust Medicare reimbursement under CPT Code 99454 (Remote Patient Monitoring). Once Haven achieves clearance, the same pipeline immediately activates.

    The core customer does not pay out of pocket. Medicare does. Haven natively aligns with Medicare's multi-billion dollar incentive to fund prevention over treatment.

    Built to execute.

    NW

    Nick Whitehead

    CEO & Co-Founder

    Enterprise sales professional with direct experience selling API-driven platforms to institutional buyers. Leads fundraising, go-to-market strategy, and business development.

    DT

    David A. Taylor

    CTO & Co-Founder

    Technical architect and UX designer leading product development, elite RF sensing research, and the Stride engine build. Owns the full hardware-to-software pipeline.

    Pre-seed: $1.5M

    The science is proven. The regulatory path is completely clear. Medicare stands ready to reimburse.
    We just need to build it. That's what this capital unlocks — 18 months of focused execution.

    $50B+
    Total Addressable Market
    3
    Scalable Revenue Models
    0
    Direct Competitors