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Webbeon
© 2026 Webbeon Inc.

Webbeon HealthCare

Predicting health crises before they happen

A clinical sensor suite on the wrist — not a fitness tracker. One wearable. Three verticals. From sensor to life-saving alert in under 500 milliseconds.

Get in touchBack to Webbeon

The Problem

Patient monitoring is fragmented, reactive, and failing.

6.7M
Americans with dementia — zero devices built for them
800K+
fall hospitalizations per year in the US — most unwitnessed
400K
LTC worker shortage — facilities desperate for monitoring
60%
of crises show warning signs hours before — unseen

Today's care model waits for something to go wrong. Vital checks every 4–8 hours. Siloed devices. No predictive intelligence. The most vulnerable population in healthcare — elderly residents with dementia, post-surgical patients, residents at fall risk — is still watched with clipboards.

Why Now

Three converging forces.

Sensor Economics

The full clinical sensor stack — vitals, motion, EEG-lite, GSR — now fits a $45–65 BOM. Five years ago the same sensors required a $1,000+ clinical device on a hospital cart.

AI Inflection

Time-series models now predict clinical events 2–6 hours in advance with production-ready accuracy. The MLOps infrastructure to serve them at scale is mature.

Staffing Crisis

Long-term care faces a 400,000+ worker shortage. Facilities are desperate for monitoring technology. Regulatory pressure and family expectations are accelerating adoption.

Traction

We're not starting from zero.

✓Full patient-care prototype running in production on Galaxy Watch 8
✓Rave reviews from caregivers and families running the prototype with their loved ones
✓Live sensor stream into the AI pipeline — models training on real data
✓Fairhaven LTC pilot confirmed — Ontario long-term care facility, site secured, awaiting custom hardware
✓Revenue-generating — not a pre-product startup seeking product-market fit

The Product

One device. Every vertical. Continuous intelligence.

WB-01 — the Webbeon Clinical Wearable. A single slim, screenless wristband with software-defined sensor profiles. The same hardware serves long-term care, home caretakers, and addiction rehab — configured per vertical, personalized per patient.

44 × 36 mm
Case
24–48 hr (all sensors)
Battery
<500 ms sensor to alert
Alert Latency
<5 min box to live monitoring
Setup
$45–65
BOM Target
$149–249
Price
BLE 5.3 + Wi-Fi + NFC
Connectivity
Software-defined per vertical
Profiles
Core Vitals
Heart rate, SpO2, HRV, cuffless BP, skin temp, respiration
All
Motion & Safety
Fall detection, gait analysis, tremor detection (9-axis IMU)
All
Behavioral
Sleep tracking, activity classification, BLE beacon location
Configurable
Substance
Galvanic skin response, transdermal alcohol, craving indicators
Rehab
Neuro / Cognitive
EEG-lite (dry electrodes), cognitive load, stress scoring
Rehab, Retirement

AI Engine

Three tiers of intelligence.

Tier 1
Safety Layer
<100ms

Instant detection: falls, cardiac arrest, dangerous BP spikes, SpO2 crashes, wandering beyond geofence. Zero tolerance for missed events. Deterministic, auditable rules with configurable thresholds per patient.

Tier 2
Adaptive Intelligence
<500ms

Learns each resident's unique baseline within 48 hours. Detects subtle BP trends, arrhythmia, sleep disruption, behavioral changes. Patient-specific models that adapt over time.

Tier 3
Predictive Engine
2–6 hrs ahead

Predicts strokes from BP/HRV patterns. Forecasts falls from gait degradation. Tracks cognitive decline over weeks. Transformer architectures that improve with every patient.

Built for Three Audiences

Three layers of intelligence, one seamless experience.

For the Nurse
  • Real-time vitals
  • BP trending
  • Fall risk scores
  • Wandering alerts
  • Location map
  • Automated shift handoff
For the Administrator
  • Facility-wide analytics
  • Incident trending
  • Cognitive decline tracking
  • Staffing optimization
  • Compliance docs
For the Family
  • Daily wellness updates
  • BP and heart summaries
  • Instant alerts
  • Reports to share with physicians
  • Peace of mind

Architecture

Sub-second, end-to-end.

10,000+
concurrent streaming devices
Offline
zero data loss during connectivity gaps
Tiered
real-time, trend, and compliance archive
HIPAA
encrypted end-to-end, audited access

Sensor data flows from wearable to BLE gateway, through the cloud pipeline, into the AI engine, and out as an actionable alert — all in under 500 milliseconds. Offline-first design ensures zero data loss during connectivity gaps.

Markets

Three verticals, one platform.

Beachhead: LTC & Retirement
  • Where we have customers, workflows, and pilot sites
  • Cognitive decline detection
  • Wandering / elopement alerts
  • Automated shift handoff summaries
  • Instant fall detection alerts
Expansion: Family & Home Care
  • 53M unpaid caregivers. Consumer DTC channel
  • Daily wellness scoring
  • "Something's off" anomaly detection
  • Share-with-doctor reports
  • Same platform, lighter sensor profile
Expansion: Addiction Rehab
  • 14,500 US facilities. No new hardware
  • Relapse risk scoring
  • Craving episode detection
  • Transdermal alcohol monitoring
  • Behavioral timeline analytics

Market Opportunity

No dominant solution in a massive, growing market.

$432B
TAM — Global LTC market, 7% CAGR
$84B
SAM — US + Canada facilities addressable by remote monitoring
$8.2B
SOM — Wearable monitoring in LTC, our immediate target
59,500
US nursing homes + assisted living facilities

Competition

Nothing else exists. We own the hardware, software, and AI.

CapabilityConsumer WearablesMedical RPMRPM PlatformsWebbeon
Continuous BP + vitalsHR + SpO2 onlyPeriodic3rd partyContinuous stream
Stroke / cardiac prediction—Threshold only—BP + HRV patterns
Fall predictionDetection only——Gait days early
Dementia / location——BasicWander + elopement
Cognitive decline tracking———Neuro proxy + behavior
Price per device$200–800$500–2,000+No hardware$149–249

The Moat

Vertically integrated where others aren't.

The Hardware Moat
  • Full sensor suite no consumer wearable offers
  • Software-defined profiles — one SKU serves all markets
  • Patient-specific AI improves with time — switching = starting over
The SaaS Moat
  • Workflow integration creates deep dependency
  • Historical data becomes more valuable over time
  • Volume tiers lock in facilities at scale

Business Model

Hardware + SaaS.

Hardware
  • $149–$249 per device
  • 60–70% gross margin
  • One SKU, software-defined profiles
SaaS
  • $29–$49/mo per patient
  • Volume tiers for facilities
  • Enterprise custom pricing

Regulatory

Ship fast as wellness. Pursue FDA with real data.

Wellness Device
Phase 1 — No FDA Required
  • Same lane as Whoop, Oura, Fitbit
  • No clinical claims — tracks wellness indicators
  • Fastest path to market and revenue
  • Real-world deployment data collection begins
FDA 510(k)
Phase 2 — Clinical Clearance
  • SpO2 accuracy, fall detection claims
  • Clinical evidence from Phase 1 deployments
  • ISO 13485 quality management system
  • Unlocks hospitals, insurance, clinical credibility

Roadmap

18 months to commercial launch.

Months 1–6
Foundation
  • Finalize wearable hardware design & BOM
  • Deploy cloud data pipeline — ingest, store, stream
  • Ship Tier 1 Safety Layer with configurable thresholds
  • Secure first pilot deployment site
Months 7–12
Build & Validate
  • First production hardware run
  • Tier 2 Adaptive Intelligence in production
  • Paid pilots in 2 verticals
  • Begin ISO 13485 quality system
Months 13–18
Scale & Revenue
  • Tier 3 Predictive Engine live
  • FDA 510(k) submission with clinical evidence
  • Revenue across all 3 verticals
  • Series A based on traction

A builder and two PhDs. One thesis: the wrist is a clinic.

Amir H. Mohsenipour
Founder · CEO · Product & AI
AGI Research · Set Theory · Manufacturing
Dr. Aliakbar Mohsenipour
Co-Founder · Data Science
PhD Statistics · TELUS Health · Vivametrica · Western
Dr. Milad Lankarany
Co-Founder · Neuroscience
PhD · Krembil Brain Institute · U of T · 75+ publications

Let's build the future of patient care.

We have the team, the customers, and the technology.

Get in touchBack to Webbeon