Investors are bored with Healthcare AI.They should be.
Most startups are just "Chatbots" that nag patients with generic reminders, or "Alert Cannons" that bombard doctors with useless data. Neither solves the actual problem.
The "Chatbot" Trap
What most AI companies build
- ✗ Generic "Take your meds" reminders patients ignore
- ✗ No understanding of patient history or context
- ✗ Creates notification fatigue
The "Alert Cannon" Trap
What wearable companies do
- ✗ Floods doctors with raw data from devices
- ✗ "Alert: Heart rate elevated" with no context
- ✗ Doctors ignore 80% of notifications
We're Building a Clinical Reasoning Engine
Ardia doesn't send alerts. It solves problems. It analyzes complete medical history, correlates multiple signals, determines causation, and delivers specific solutions with clinical reasoning.
Intelligence Engines by Condition
Select a condition to see how the reasoning engine works — data sources, cause determination, and specific solutions.
United Airway Disease (UAD)
72 hours before lung failure
💡 Nose blocks → Lungs fail within 72h. We catch the nose blockage.
📊 Real-Time Data
🧠 Intelligence Engine Impact
"Zero panic alerts — only solutions delivered"
⚙️ How Our Intelligence Engine Solves This
Voice analysis detects nasal congestion → Cross-reference pollen API → Deliver specific action (nasal steroid + avoid outdoors) before lungs are affected
Problems We Solve
Data Signals We Track
AI detects nasal resonance changes from speech
Daily PEF/FEV1 tracking via Bluetooth spirometer
Wearable detects mouth breathing, fragmented sleep
Real-time pollen, AQI, humidity data
Cause Determination & Actions
Doctor Dashboard
Real-time patient intelligence — not alert bombardment
Immediate action required
Review within 24-48h
No action needed — auto-documented
Critical Patients — Action Required Now
UAD Cascade — Nasal patency 35%, ragweed 3x threshold
Consider oral steroid burst. 89% ER probability without intervention.
Reasoning: Pattern matches her 3 previous exacerbations (Jan '24, Sep '23, Apr '23)
Peak flow 72%, rescue inhaler 8x in 48h, nocturnal cough reported
Same-day appointment. Likely needs steroid burst + controller step-up.
Reasoning: Last exacerbation required ER. Early intervention can prevent repeat.
FEV1 down 15%, SpO2 91%, sputum color change, AQI 165 in area
Start prednisone + azithromycin today. Avoid ER if we act now.
Reasoning: Pattern: 82% match to his 2023 hospitalization trajectory.
Weight +5.2 lbs in 3 days, BP 158/94, ankles swollen, orthopnea worsening
IV diuretic today or ER by tonight. Pattern matches her Dec '23 admission.
Reasoning: Missed diuretic 2 days (per smart pill bottle). Caught early = outpatient management.
3 silent AFib episodes this week (detected by Apple Watch), not on anticoagulation
Urgent: CHA2DS2-VASc is 4. Start anticoagulation to prevent stroke.
Reasoning: AF burden 8.2% this month. Without anticoag, 6.7% annual stroke risk.
Angina 5x this week (was 1x/month), nitro use tripled, symptoms with less exertion
Same-day cardiology. Rule out unstable angina/ACS. Do not delay.
Reasoning: Crescendo pattern. Last cath was 2 years ago. May need intervention.
3 nocturnal hypos this week (CGM), morning rebounds to 220, TIR dropped to 41%
Reduce evening long-acting insulin by 20%. Add bedtime snack protocol.
Reasoning: Pattern: Somogyi effect. Over-insulinization at night causing rebound hyperglycemia.
Creatinine jumped 0.5 in 1 week, patient admits taking ibuprofen daily for back pain
STOP ibuprofen now. Recheck creatinine in 48h. If no improvement, urgent nephrology.
Reasoning: NSAID-induced AKI on CKD stage 3b. Usually reversible if caught early.
2 breakthrough seizures this week, smart pill bottle shows 3 missed doses
Adherence intervention. Consider extended-release formulation. Check drug level.
Reasoning: Seizure freedom was 8 months. Non-adherence is likely cause, not disease progression.
Activity dropped 60% over 2 weeks, not leaving home, sleep 12+ hours, PHQ-9 jumped from 8 to 18
Urgent telepsychiatry today. Assess safety. Consider medication adjustment.
Reasoning: Pattern suggests major depressive episode. Early intervention prevents hospitalization.
BP trending up (138→149 over 3 days), headache reported, +1 proteinuria last visit
Urgent: Preeclampsia workup. Consider admission for monitoring and possible delivery.
Reasoning: Pattern matches our preeclampsia prediction model at 87% confidence. Previous patient with identical pattern developed severe preeclampsia within 72 hours.
Stable Patients — No Attention Needed
583 patients monitored, all within normal parameters. Documentation auto-generated.
AI Voice Intelligence System
Not a check-in chatbot — a clinical reasoning engine that listens
How Voice Intelligence Works
Voice Biomarker Analysis
AI analyzes speech patterns in real-time: nasal resonance (congestion), speech rate (fatigue), tremor (anxiety), breathiness (respiratory distress)
Condition-Specific Questions
Based on patient's conditions, asks targeted questions: "How many pillows did you sleep with?" (CHF), "Any morning stiffness?" (RA), "Peak flow reading today?" (Asthma)
Intelligent Response
Provides personalized guidance based on analysis + history. Not generic advice — specific to THIS patient's patterns and risks.
Adaptive Check-in Schedule
🚨 Emergency Response Protocol (911/Family Alert)
When Triggered:
- • Voice indicates severe respiratory distress
- • Patient reports chest pain, difficulty speaking
- • Confusion or altered mental status detected
- • No response after multiple attempts
- • Patient explicitly requests emergency help
What's Sent to 911/Family:
- • Primary conditions: CHF (EF 35%), Type 2 DM, CKD Stage 3
- • Medications: Lasix 40mg, Metformin 1000mg, Lisinopril 10mg
- • Allergies: Penicillin (anaphylaxis)
- • Recent events: CHF admission Dec 2024, A1C 8.2%
- • Current alert: Weight +6lbs/3 days, SpO2 89%, severe dyspnea
- • Emergency contact: Daughter Maria (555-0123)
36-Month Intelligence Engine Roadmap
From building the reasoning engine from scratch to serving 50,000+ patients with 20+ conditions. Phase 1 is the toughest — laying the foundation that everything else depends on.
Intelligence Engine Foundation
Months 1-12
Building the Clinical Intelligence/Reasoning Engine core — not a chatbot, not an alert system. A true reasoning platform.
🩺 Intelligence Engine Conditions (Phase 1)
📅 Key Milestones
🎯 Deliverables
- Clinical Intelligence Engine v1.0
- 4 conditions live: UAD, Asthma, CHF, Diabetes
- Solutions-not-alerts paradigm validated
- Voice Intelligence with health biomarkers
- Doctor Dashboard — no alert fatigue
- Emergency protocol with auto-911 + health summary
15-20 engineers, 3 clinical advisors
Seed + Series A
Clinical Validation & Condition Expansion
Months 13-21
Expanding reasoning engine to cardiovascular, renal, and respiratory conditions. Real-world validation proving we reduce ER visits, not increase alert fatigue.
🩺 Intelligence Engine Conditions (Phase 2)
📅 Key Milestones
🎯 Deliverables
- 10 conditions fully operational
- 3 pilot healthcare partners live
- Clinical data: 65% ER reduction, $5K+ saved/patient
- Multi-language Voice Intelligence (8 languages)
- Intelligence Engine v2.0 with outcome learning
- Proven: No alert fatigue in doctor surveys
25-30 engineers, 5 clinical advisors
Series A primary
Mental Health & Scale
Months 22-30
Adding mental health intelligence, neurological conditions, and scaling to 20+ health systems while maintaining the solutions-not-alerts approach.
🩺 Intelligence Engine Conditions (Phase 3)
📅 Key Milestones
🎯 Deliverables
- 16 conditions fully operational
- Mental health early intervention (54% fewer hospitalizations)
- Cross-condition intelligence (e.g., diabetes + depression)
- 20+ healthcare partners
- 10,000+ active patients
- Proven ROI: $10K+/patient/year saved
40-50 team members
Series B preparation
Full Platform & International
Months 31-36
International expansion, rare disease modules, and preparing the Intelligence Engine for quantum acceleration.
🩺 Intelligence Engine Conditions (Phase 4)
📅 Key Milestones
🎯 Deliverables
- International launch (UK, EU)
- 20+ conditions supported
- Rare disease pilot (5 conditions)
- Pediatric modules
- 50,000+ patients served
- Series B funding secured
60+ team members
Series B
Quantum Intelligence Era
2029 Q1/Q2 (Months 40+)
Our Clinical Intelligence Engine becomes quantum-accelerated — enabling real-time analysis of entire patient populations and multi-year disease trajectory prediction.
Quantum Clinical Reasoning
Intelligence Engine processes 1000x more data signals for even earlier predictions and more precise solutions
Quantum Drug Interaction Modeling
Simulate molecular interactions at quantum level — personalized medication optimization in seconds
Genomic Pattern Recognition
Analyze entire genomes in seconds vs hours — enabling true precision medicine for rare diseases
Multi-Year Disease Prediction
Predict chronic condition trajectories 5-10 years ahead — transform reactive to truly preventive care
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.
Life-Saving Emergency Response
When our Intelligence Engine detects a crisis, we don't just alert — we act.
How Auto-911 Works
What Paramedics Receive
Paramedics arrive knowing exactly what they're dealing with — no wasted time, better outcomes.
We don't send "Heart rate elevated" alerts that get ignored. We automatically dispatch help when our Intelligence Engine determines a life is at risk.
Why Doctors & Patients Choose Ardia
It's not just about billing codes — it's about transforming care
👨⚕️ For Providers
Patients who don't end up in the ER refer their friends. 30-50% reduction in hospitalizations.
Hit quality metrics (HEDIS, Stars) to earn bonuses from payers. Ardia tracks everything automatically.
Documented early detection and intervention. Clear audit trail of clinical reasoning.
Stop reviewing 50 useless alerts. See 1 critical patient who needs you. Spend time on care, not noise.
$1,200-1,900 per patient/year in RPM/RTM codes — auto-documented and compliant.
👤 For Patients
Early intervention means no 3am ER visits. No $2,000 copays. No hospital food.
"Your nose blockage predicts lung problems" is more useful than "Take your meds."
Your daughter knows you're being monitored intelligently. Emergency? She gets notified with context.
Fewer missed workdays. Fewer canceled plans. Health managed in background, not as full-time job.
One prevented ER visit saves $500-2,000 in copays. One prevented hospitalization saves $3,000-10,000.
"Why would patients pay when free apps exist?"
- • Generic reminders for everyone
- • No connection to your doctor
- • Can't predict YOUR specific risks
- • No clinical reasoning or context
- • When things go wrong, you're on your own
- • Personalized to YOUR condition history
- • Doctor sees what matters, when it matters
- • Predicts YOUR crises before they happen
- • Explains WHY you need to act
- • Connected to care team, 911 if needed
The value: Ardia is prescribed by doctors as part of care management. Often covered by insurance through chronic care programs. Patient cost: minimal. Value: potentially life-saving.
Ready to Transform Chronic Care?
See how Ardia can predict crises, prevent hospitalizations, and give your patients (and you) peace of mind.
Book a Demo →