Our Vital Mission

Every Second Counts in Chronic Care

697K Americans die from heart disease yearly. 609K from cancer. 16 million battle COPD. 25 million struggle with asthma.

Ardia Health bridges patients and providers with AI — even without wearables. Our AGI Voice Assistant, consent-based family alerts, and auto-911 protocol save lives.

The Crisis in Numbers

Real-Time Statistics

🏥
0M
Americans with chronic conditions
60% of adult population
💰
$0.1T
Annual healthcare spending
90% on chronic conditions
💔
0.3M
Preventable deaths/year
From chronic diseases
🔄
0%
30-day readmission rate
$26B in preventable costs
Chronic Care Overview

Understanding Chronic Conditions

147 million Americans live with chronic conditions. 60% of adults. $4.1 trillion spent annually. Click any condition to explore.

Condition Deep Dive

Understanding the Challenges

Eight critical chronic conditions we address — including Diabetes and Mental Health. Click "Deep Dive" to explore.

❤️

Heart Failure

Congestive Heart Failure (CHF)

6.7M
Americans affected
$30.7B
Annual US cost
50%
5-year mortality
25%
30-day readmission

🏥Challenges for Providers

  • 1Complex medication titration across thousands of patients
  • 2Identifying early decompensation before emergencies
  • 3Coordinating care with fragmented EHR systems
  • 4Time-consuming prior authorizations
  • 5Overwhelming patient-to-provider ratio

👤Challenges for Patients

  • 17+ daily pills causing confusion and missed doses
  • 2Difficulty recognizing warning signs
  • 32-4 week waits to see specialists
  • 4High out-of-pocket medication costs
  • 5Anxiety about sudden cardiac events

How Ardia Health Solves This

  • AI detects weight/vital anomalies 48-72hrs before decompensation
  • Intelligent medication reminders with interaction checks
  • Predictive risk scoring for early intervention
  • Prior auth automation (weeks → hours)
  • 24/7 AI companion for reassurance
🏥
Provider Challenge
Complex medication titration across thousands of patients
👤
Patient Challenge
7+ daily pills causing confusion and missed doses
🫁

COPD

Chronic Obstructive Pulmonary Disease

16M
Diagnosed in US
3rd
Leading cause of death
$49B
Annual US cost
20%
30-day readmission

🏥Challenges for Providers

  • 1Predicting exacerbations before hospitalization
  • 290% of patients use inhalers incorrectly
  • 3Managing comorbidities that complicate treatment
  • 4Only 3% receive pulmonary rehab
  • 5Distinguishing COPD from heart failure remotely

👤Challenges for Patients

  • 1Fear of physical activity causing deconditioning
  • 2Complex inhaler regimens with multiple devices
  • 3Unpredictable flare-ups from weather/air quality
  • 4Sleep disturbances from nocturnal symptoms
  • 5Anxiety about breathing emergencies alone

How Ardia Health Solves This

  • Continuous SpO2 monitoring with early exacerbation warning
  • Smart inhaler sensors with technique coaching
  • Air quality alerts with preventive suggestions
  • Virtual pulmonary rehab (10x access)
  • Auto-911 when SpO2 drops critically
🏥
Provider Challenge
Predicting exacerbations before hospitalization
👤
Patient Challenge
Fear of physical activity causing deconditioning
🟤

CLD

Chronic Liver Disease (Cirrhosis, NAFLD, Hepatitis)

4.5M
Americans with CLD
100M
With fatty liver
$32B
Annual US cost
12th
Cause of death in US

🏥Challenges for Providers

  • 1Silent progression until advanced stage
  • 2NAFLD epidemic overwhelming hepatology
  • 3Limited FibroScan/biopsy availability
  • 4Medication hepatotoxicity monitoring
  • 5Transplant timing decisions

👤Challenges for Patients

  • 1No symptoms creates false sense of security
  • 2Dietary restrictions hard to follow
  • 3Inadequate alcohol cessation support
  • 4Fear of treatments hurting liver more
  • 5Confusion about disease type/prognosis

How Ardia Health Solves This

  • AI risk stratification for NAFLD screening
  • Non-invasive fibrosis scoring from labs
  • Auto-flagging hepatotoxic drugs
  • Personalized liver-healthy nutrition coaching
  • Cognitive assessment for encephalopathy warning
🏥
Provider Challenge
Silent progression until advanced stage
👤
Patient Challenge
No symptoms creates false sense of security
💨

Asthma

Chronic & Severe Asthma

25M
Americans with asthma
8.4%
Of US children affected
$56B
Annual US cost
3,500
Deaths per year (US)

🏥Challenges for Providers

  • 1Rescue inhaler overuse goes undetected
  • 2Only 5% receive needed biologics
  • 3Time-consuming trigger identification
  • 4Limited real-world control data
  • 5Invisible school/work absence patterns

👤Challenges for Patients

  • 1Rescue inhaler creates false sense of control
  • 2Triggers ubiquitous and hard to avoid
  • 3Medication costs lead to dose rationing
  • 4Nocturnal symptoms often normalized
  • 5Fear limits exercise and fitness

How Ardia Health Solves This

  • Smart inhaler tracking with overuse alerts
  • Peak flow trend analysis for early decline
  • Environmental trigger mapping
  • Biologic eligibility screening with auto-referrals
  • Severe attack → auto-911 with alerts
🏥
Provider Challenge
Rescue inhaler overuse goes undetected
👤
Patient Challenge
Rescue inhaler creates false sense of control
🫀

Cardiology Crisis

Cardiovascular Disease (Heart Disease, Stroke, Arrhythmias)

697K
Deaths/year (US)
$239B
Annual US cost
1 in 5
Deaths from heart disease
805K
Heart attacks/year

🏥Challenges for Providers

  • 11 in 3 AFib patients undiagnosed until stroke
  • 2Only 25% complete cardiac rehab
  • 3Complex multi-drug interaction management
  • 4Identifying sudden cardiac death risk
  • 520% have another event within 5 years

👤Challenges for Patients

  • 1Post-cardiac event anxiety affecting recovery
  • 2Recognizing stroke symptoms (FAST) quickly
  • 3Blood thinner INR monitoring disruptions
  • 4Cardiac diet restrictions hard to maintain
  • 5Exercise fear despite critical need

How Ardia Health Solves This

  • Continuous ECG with AFib/arrhythmia AI detection
  • Virtual cardiac rehab with monitored exercise
  • Automated INR tracking and trend analysis
  • Stroke symptom education with emergency response
  • Post-event mental health screening
🏥
Provider Challenge
1 in 3 AFib patients undiagnosed until stroke
👤
Patient Challenge
Post-cardiac event anxiety affecting recovery
🎗️

Oncology

Cancer Care & Survivorship

2M
New cases/year (US)
18M
Cancer survivors
$208B
Annual US cost
609K
Deaths/year (US)

🏥Challenges for Providers

  • 150+ chemo protocols with timing requirements
  • 2Detecting toxicity before it's critical
  • 3Coordinating oncology/surgery/radiation teams
  • 430% miss oral chemo doses from side effects
  • 540% skip recommended cancer screenings

👤Challenges for Patients

  • 1Chemo side effects devastating quality of life
  • 2Immunosuppression infection anxiety
  • 3Financial toxicity leading to bankruptcy
  • 4Cancer fatigue affecting work/family
  • 5Scanxiety before follow-up imaging

How Ardia Health Solves This

  • AI symptom tracking for early toxicity detection
  • Personalized antiemetic recommendations
  • Oral chemo adherence monitoring with alerts
  • Cancer screening reminders with navigation
  • Integrated depression/anxiety screening
  • Clinical trial matching from tumor profiles
🏥
Provider Challenge
50+ chemo protocols with timing requirements
👤
Patient Challenge
Chemo side effects devastating quality of life
🩸

Diabetes

Type 1, Type 2 & Gestational Diabetes

37.3M
Americans affected
$327B
Annual US cost
96M
Prediabetic adults
1 in 4
Undiagnosed

🏥Challenges for Providers

  • 1Managing insulin dosing across diverse patient populations
  • 2Preventing hypoglycemic episodes while maintaining glycemic control
  • 3Coordinating care for diabetic complications (retinopathy, neuropathy, nephropathy)
  • 4Time-intensive patient education for lifestyle modifications
  • 5Keeping up with CGM/insulin pump data from multiple device types

👤Challenges for Patients

  • 1Constant blood sugar monitoring disrupts daily life and work
  • 2Fear of hypoglycemic episodes, especially nocturnal episodes
  • 3Dietary restrictions feeling overwhelming and socially isolating
  • 4Cost of insulin and supplies causing significant financial strain
  • 5Foot care and wound healing concerns with limited access
  • 6Managing diabetes during pregnancy (gestational)

How Ardia Health Solves This

  • AI-powered CGM data analysis with predictive hypo/hyperglycemia alerts
  • Personalized meal recommendations based on glucose response patterns
  • Automated A1C trend tracking with early intervention suggestions
  • Smart insulin dosing recommendations reviewed by care team
  • Diabetic foot screening reminders with photo-based wound tracking
  • Integration with insulin pumps and CGM for unified patient dashboard
🏥
Provider Challenge
Managing insulin dosing across diverse patient populations
👤
Patient Challenge
Constant blood sugar monitoring disrupts daily life and work
🧠

Mental Health

Depression, Anxiety, Bipolar & PTSD

57.8M
Adults affected/year
1 in 5
US adults annually
$280B
Annual US cost
55%
Receive no treatment

🏥Challenges for Providers

  • 1Severe shortage of mental health providers (8,000+ psychiatrist gap)
  • 215-minute med checks inadequate for complex psychiatric patients
  • 3Tracking symptoms between appointments is nearly impossible
  • 4Suicide risk assessment relies heavily on patient self-reporting
  • 5Coordinating with primary care for comorbid physical conditions
  • 6Prior auth delays for psychiatric medications

👤Challenges for Patients

  • 1Stigma preventing help-seeking behavior and disclosure
  • 2Waiting 6+ weeks for initial psychiatry appointments
  • 3Medication side effects affecting daily functioning and adherence
  • 4Difficulty articulating symptoms during brief appointments
  • 5Crisis episodes occurring outside of office hours
  • 6Social isolation worsening depressive and anxiety symptoms

How Ardia Health Solves This

  • Daily mood tracking via AI Voice Assistant with PHQ-9/GAD-7 integration
  • Early crisis detection through language pattern and voice analysis
  • 24/7 AI companion for coping strategies and grounding exercises
  • Medication adherence tracking with side effect monitoring
  • Seamless escalation to crisis hotlines when risk patterns detected
  • Therapist/psychiatrist appointment facilitation and prep
  • Family notification (with consent) for concerning behavioral patterns
🏥
Provider Challenge
Severe shortage of mental health providers (8,000+ psychiatrist gap)
👤
Patient Challenge
Stigma preventing help-seeking behavior and disclosure
No Wearables? No Problem.

AI Voice Assistant for Vital Tracking

Not every patient has an Apple Watch or wearable device. Ardia's AI Voice Assistant bridges this gap with proactive phone calls, SMS check-ins, and intelligent health monitoring — ensuring no patient is left behind.

How AI Voice Assistant Works

📅
Step 1
Scheduled Check-in
Daily/Weekly calls based on condition
📞
Step 2
AI Voice Call
Natural conversation about symptoms
📊
Step 3
Data Analysis
AI detects anomalies & escalates
Sample AI Voice Check-in Call

ARDIA AI: "Good morning, Mrs. Johnson. This is your daily health check-in from Ardia Health. How are you feeling today?"

PATIENT: "I'm feeling a bit short of breath this morning."

ARDIA AI: "I understand. On a scale of 1 to 10, how would you rate your breathing difficulty? And have you taken your morning medications?"

PATIENT: "Maybe a 6. And yes, I took my pills."

ARDIA AI: "Thank you. I'm noting elevated breathing difficulty. Have you noticed any swelling in your ankles or weight gain?"

// AI detects potential CHF exacerbation → Escalation protocol triggered

🗣️

Daily Symptom Check-ins

  • • Automated calls at patient-preferred times
  • • Condition-specific symptom questions
  • • Natural language understanding
  • • Multi-language support (12+ languages)
💊

Medication Adherence

  • • Reminder calls for missed medications
  • • Confirmation of doses taken
  • • Side effect reporting
  • • Refill reminders before running out
📱

SMS Fallback System

  • • Text-based check-ins if call missed
  • • Simple 1-10 scale responses
  • • Photo uploads for symptom tracking
  • • Escalation if no response in 24hrs
Consent-Based Care Circle

Family & Care Team Notifications

With explicit patient consent, Ardia keeps family members, caregivers, and the entire care team informed. Critical notifications reach the right people at the right time — while maintaining strict HIPAA compliance.

Consent-Based Notification Flow

1Patient Consent
  • ✓ Digital consent form
  • ✓ Choose what to share
  • ✓ Select recipients
  • ✓ Revocable anytime
2Verification
  • ✓ Identity verification
  • ✓ Relationship confirmation
  • ✓ Contact validation
  • ✓ Consent acknowledgment
3Tiered Alerts

🟢 Routine updates

🟡 Attention needed

🟠 Urgent concern

🔴 Emergency alert

4Delivery
  • 📱 SMS text alerts
  • 📞 Automated calls
  • 📧 Email summaries
  • 🔔 App push notifications
👨‍👩‍👧

Family Members

With patient consent

  • Daily health summaries
  • Medication adherence reports
  • Appointment reminders
  • Emergency alerts (immediate)
🏥

Healthcare Team

Treating providers

  • Real-time vital anomalies
  • Symptom trend reports
  • Missed appointment alerts
  • Pre-visit summaries
🚨

Emergency Services

Life-threatening situations

  • Auto-911 with patient data
  • GPS location transmission
  • Medical history relay
  • Hospital pre-arrival alerts
Life-Saving Technology

Emergency Response: Auto-911 Protocol

When AI detects a life-threatening emergency and cannot reach the patient, it automatically contacts 911, family members, and the care team simultaneously.

⚠️
TRIGGER
Critical vitals detected
📵
NO RESPONSE
3 call attempts failed
🚨
ACTIVATE
Emergency protocol
911
👨‍👩‍👧
🏥
NOTIFIED

# Automated Emergency Call Transcript

ARDIA AI: "Emergency services, this is Ardia Health automated emergency system.

• Patient: Maria Garcia, Age 72

• Condition: CHF, Type 2 Diabetes

• Status: Unresponsive, irregular heart rhythm detected

• Location: 456 Elm St, Austin, TX 78704

• Emergency Contact: Carlos Garcia (Son) - notified

Requesting immediate wellness check. Patient's cardiologist has been alerted."

HIPAA-Compliant Architecture

MCP & SRL: Secure Patient Data Foundation

Our proprietary Managed Clinical Pathways (MCP) and Semantic Reasoning Layer (SRL) ensure HIPAA compliance and intelligent clinical decisions.

AI-Driven Clinical Reasoning

EHR Data
Clinical AI
Diagnosis

MCP Engine

Patient Data
MCP Engine
Dynamic Care Plans
Treatment Protocols

SRL Semantic Layer

Dynamic Care Plans
Diagnostic Protocols
SRL
Diagnostic
Treatment
Follow-Up

Clinical Workflow

Patient
Receiving
Clinical Doc
EHR
MCP
Output

Quantum-Ready Pipeline

Quantum-Ready Architecture
Intelligence Layer
Clinical AI
Quantum Algorithms
Data Ingestion & Processing
Multimodal Data
Biomedical Knowledge

Market Opportunity

TAM
SAM
SOM

How We Handle Your Data: Complete Transparency

📥

Data Ingestion

EHR, wearables, voice check-ins encrypted immediately. No raw data stored.

🔐

Processing

AI processing in isolated, HIPAA-compliant environments. Never used for training without consent.

📤

Output

Only actionable insights shared. Full audit trail of who accessed what and when.

🗑️

Retention

Data retained per healthcare regulations. Patients can request deletion anytime.

AES-256 EncryptionTLS 1.3SOC 2 Type IIZero-TrustHIPAA Compliant
AI Solutions

How AI Transforms Chronic Care

1Reducing Wait Times

Intelligent Triage

AI analyzes patient data to assess urgency and direct to appropriate care level.

Automated Scheduling

Optimizes appointment slots by availability, preferences, and case complexity.

Virtual Consultations

AI chatbots handle routine queries. Remote monitoring flags anomalies early.

2Early Recognition

Predictive Analytics

Identifies patterns and risk factors before symptoms even appear.

Image Analysis

Computer vision detects subtle signs in X-rays, MRIs, CT scans.

NLP & Risk Assessment

Extracts insights from clinical notes for personalized risk profiles.

Wearable Integration

Monitors heart rate, sleep, activity for early condition onset detection.

Care Model Evolution

The Shift to Proactive Management

Traditional Model

Episodic Care

Patients seen only when sick. Gaps lead to preventable hospitalizations and complications.

  • Reactive, not proactive
  • Missed warning signs
  • Higher costs from emergencies
Ardia AI Model

Proactive Care

Continuous, data-driven engagement. AI identifies risk factors early for intervention.

  • 24/7 intelligent monitoring
  • Early anomaly detection
  • Reduced readmissions by 32%
Strategic Roadmap

36-Month Product Roadmap

From building everything from scratch to serving 50,000+ patients. Phase 1 is the toughest — laying the foundation that everything else depends on.

1

Foundation & Core Build

Months 1-12

🔥 Most Challenging Phase

Building everything from scratch — the hardest but most critical phase.

🏥 Chronic Conditions in Phase 1

❤️Heart Failure🫁COPD🟤CLD💨Asthma

📅 Key Milestones

M1-2Core infrastructure setup (AWS HIPAA, database architecture)
M2-4MCP Engine v1.0 development — clinical pathways framework
M3-5SRL Semantic Layer foundation — medical ontology integration
M4-6AI Voice Assistant MVP — basic symptom check-in calls
M5-8EHR integration layer (Epic, Cerner FHIR APIs)
M6-9Patient consent & notification system build
M8-10Emergency 911 auto-call protocol development
M10-12Security audit, HIPAA compliance certification

🎯 Deliverables

  • HIPAA-compliant cloud infrastructure
  • MCP Engine v1.0 (4 chronic conditions)
  • SRL v1.0 with basic reasoning
  • AI Voice Assistant (English only)
  • Basic EHR integration (1 system)
  • Emergency protocol foundation
Team Size

15-20 engineers, 2 clinical advisors

Funding

Seed + Series A allocation

2

Clinical Validation & Expansion

Months 13-21

⚡ High Intensity

Pilot programs, real-world validation, and rapid iteration based on clinical feedback.

🏥 Chronic Conditions in Phase 2

💔Cardiology Crisis🎗️Oncology

+ Phase 1 conditions enhanced

📅 Key Milestones

M13-14Pilot launch with 3 healthcare systems (500 patients)
M14-16AI Voice Assistant — add 6 more languages
M15-17Oncology & Cardiology modules development
M16-18Family notification system launch
M17-19Real-time vital anomaly detection refinement
M19-21MCP Engine v2.0 — adaptive care pathways

🎯 Deliverables

  • 3 pilot healthcare partners live
  • 6 chronic conditions fully supported
  • Multi-language AI Voice (8 languages)
  • Family Care Circle feature
  • Clinical validation data (n=500+)
  • MCP v2.0 with ML optimization
Team Size

25-30 engineers, 4 clinical advisors

Funding

Series A primary allocation

3

Scale & Market Expansion

Months 22-30

📈 Growth Phase

Scaling to more healthcare systems, expanding features, and proving ROI.

🏥 Chronic Conditions in Phase 3

🩸Diabetes🧠Mental Health

All 8 conditions now supported

📅 Key Milestones

M22-24Expand to 20+ healthcare systems (10,000 patients)
M23-25Wearable device integration (Apple Watch, Fitbit, Withings)
M24-26Provider dashboard & analytics platform
M26-28SRL v2.0 — advanced semantic reasoning
M28-30Payer integration for reimbursement automation

🎯 Deliverables

  • 20+ healthcare partners
  • 10,000+ active patients
  • Full wearable ecosystem
  • Provider analytics dashboard
  • Payer/insurance integrations
  • Proven 30% readmission reduction
Team Size

40-50 team members

Funding

Series B preparation

4

International & Quantum-Ready

Months 31-36+

🌍 Global Expansion

International expansion, Series B funding, and preparing the architecture for quantum acceleration.

🏥 Chronic Conditions in Phase 4

All 8 Conditions

Quantum-optimized algorithms for all conditions

📅 Key Milestones

M31-32International expansion (UK, EU) — GDPR compliance
M32-33Predictive genomics integration pilot
M33-34Advanced NLP for clinical notes analysis
M34-35Series B funding close
M35-3650,000 patient milestone & architecture optimization

🎯 Deliverables

  • International launch (UK, EU)
  • GDPR & international compliance
  • Genomics integration pilot
  • Advanced clinical NLP
  • 50,000+ patients served
  • Series B funding secured
Team Size

60+ team members

Funding

Series B

⚛️

Quantum Acceleration Era

2029 Q1/Q2 (Months 40+)

🚀 Future Vision

After establishing market leadership with AI, we transition to quantum-accelerated healthcare — exponentially faster drug discovery, genomic analysis, and predictive modeling.

⚛️

Quantum Drug Interaction Modeling

Simulate molecular interactions at quantum level for personalized medication optimization

🧬

Genomic Pattern Recognition

Analyze entire genomes in seconds vs hours — enabling true precision medicine

🌐

Population Health Simulation

Model disease spread and intervention effectiveness across millions of patients

🔮

Predictive Disease Modeling

Predict disease onset years in advance with quantum-enhanced AI models

Why wait until 2029? Quantum computers capable of healthcare applications are expected to reach practical utility by Q1/Q2 2029. We're building our architecture today to be quantum-ready, so when the hardware matures, we can immediately leverage it.

🤖
36 Months
AI Phase
⚛️
2029 Q1/Q2
Quantum Ready
👥
50K+ Patients
End Goal
💰
Series B+
Target Funding
Evidence-Based Care

Clinical Validation & Gold Standards

Clinical Outcomes

32%
Reduction in Readmissions
Validated in 12-month multi-site Heart Failure study.
1.8
Point Drop in A1C
Average improvement for Type 2 Diabetes over 6 months.
47%
Reduction in ER Visits
For COPD patients with AI monitoring.

Built on gold standards, optimized for outcomes.

Care pathways aligned with ADA (Diabetes), AHA (Heart), GOLD (COPD), and NCCN (Oncology) guidelines.

  • 🏥Guideline-directed medical therapy (GDMT) automation
  • 🔒Privacy-first architecture (data never sold)
  • 🔗Seamless EHR integration (Epic, Cerner, Athena)
  • 🧠Transparent AI decision explanations
The Impact

Saving Lives, Time & Money

$8,500
Per Prevented Readmission
4.2 hrs
Saved per Provider Daily
89%
Patient Satisfaction
Lives
Saved by Rapid Response