Pre-seed · $750K raise

Predicting falls before they happen.

Haven turns the 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.

$50B+ TAM 3 scalable revenue models 0 direct competitors
The crisis

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

Every existing fall-detection product works the same way: wait for someone to hit the ground, then send an alert. Haven is 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 paid by Medicare — $53.3B annually
The breakthrough

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.

Steadfast sensor
Steadfast
Presence & reactive detection

A small radar sensor, size of a smoke detector, measuring walking speed, step length, gait symmetry, and balance with clinical precision.

  • Uses existing Wi-Fi infrastructure
  • Cost-effective sensor deployment ($10 class)
  • Works through walls — no cameras, no wearables
Stride on Apple Watch
Stride
Predictive gait analysis

Turns the Apple Watch, Fitbit, or Garmin they already wear into a continuous gait-baseline engine. The signal layer that makes AI prediction possible.

  • No new hardware. No device to charge.
  • Turns an existing wearable into a fall-prevention tool
  • Detects stride, cadence, and balance drift over weeks
Vigil camera
Vigil
Camera · computer vision

Hi-res camera performing real-time gait and posture analysis using pose-estimation AI — capturing micro-changes passive sensors alone cannot detect.

  • Most data-rich monitoring available
  • Designed for highest-risk seniors
  • Privacy-tiered — families choose their level
Anchor hub
Anchor
Matter-compatible smart home hub

The nerve center of every Haven home — aggregating data from all three sensing layers, running edge AI inference locally, and bridging into the broader smart-home ecosystem via Matter.

  • Edge AI fusion — raw data stays home
  • Apple Home · Google Home · Alexa integration
  • TLS 1.3 / AES-256
Beacon family dashboard
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.

  • One number per morning — not a data firehose
  • AI-written explanations of what changed and why
  • Designed for the adult child, not the clinician
The moat

From detection to prediction.

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

1
Weeks 1–4

Contextual baseline

Stride passively observes how each person walks — speed, cadence, symmetry, arm swing — building a gait fingerprint unique to them.

2
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.

3
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 — Stride captures it.

4
Intervention

The fall never happens

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

The evidence

Peer-reviewed. Validated.

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

98%
Fall-detection accuracy using mmWave radar with semi-supervised learning.
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 using 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
Public CSI+BFI dataset spanning 20 activities across complex NLOS scenarios.
CSI-BFI-HAR · IEEE DataPort
93.6%
Machine-learning classification accuracy from a single walking-cycle gait signature.
Frontiers in AI · 2024
Regulatory & reimbursement

A clear path through FDA and Medicare.

FDA 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 Haven for expedited clearance through the identical substantial-equivalence pathway, reducing regulatory friction.

Medicare RPM

CPT Code 99454

Similar RF technologies already qualify for robust Medicare reimbursement under Remote Patient Monitoring. Once Haven achieves clearance, the same pipeline 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.

Leadership

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, RF sensing research, and the Stride engine build. Owns the full hardware-to-software pipeline.

The opportunity

Pre-seed: $750K.

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

Haven Home Wellness, Inc. · Delaware C-Corp
Leesburg, VA · We guarantee a response from the founders within 24 hours.

Adult daughter checking phone