Not Another AI Startup

Moving Healthcare from Alerting to Solving

Most AI startups are chatbots that nag patients or alert cannons that bombard doctors. We're building something different.

Our Promise: We never send "SpO2 is 92%." We send "Start nasal steroid today — pollen is 3x your trigger threshold, pattern matches your March episode."

20+
Chronic Conditions
65%
Fewer ER Visits
0
Useless Alerts
⚛️

Unified Patient Record

Single source of truth powered by real-time data.

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The Problem

Healthcare AI is broken. Here's why.

Most 'AI' in healthcare creates more problems than it solves.

What Other AI Startups Do

  • 📢Send 500 alerts per day — doctors ignore them all
  • 🤖Chatbots that ask 'How are you feeling?' — patients hate them
  • 📊Dashboard showing 'SpO2: 92%' — zero context, zero action
  • 📄Generate more paperwork for already overworked staff
  • 💰Charge for 'AI' that's just a wrapper around ChatGPT

What Ardia Does Instead

  • 🧠Analyze patterns across symptoms, environment, history — then deliver specific solutions with reasoning
  • 🗣️Voice AI that detects health biomarkers — we hear what your voice tells us
  • 📋Doctor dashboard: Critical → Attention → Stable — zero alert fatigue
  • 🚨Auto-911 dispatch with 6-12 month health summary — paramedics arrive informed
  • 💵Generate revenue through RTM/CCM automation — $200K+/year for clinics
Platform

Context-Aware Clinical Intelligence

One reasoning engine. Every chronic condition. Solutions with justification.

How It Works

Clinical Reasoning Engine – End-to-End Flow

From patient data to actionable solutions — see how our AI transforms healthcare from alerting to solving.

1

Data Ingestion

  • • FHIR / EHR integration
  • • Wearables & devices
  • • Patient-reported data
  • • Environmental APIs
2

Normalization

  • • Symptom standardization
  • • History correlation
  • • Data quality checks
  • • Temporal alignment
3

Clinical Reasoning

  • Not alert-based
  • • Multi-signal correlation
  • • Pattern recognition
  • • Cause determination
  • • Solution generation

🧠 Intelligence Layer

4

Risk & Action

  • • Risk stratification
  • • Next-best-action
  • • Clinical justification
  • • Priority scoring
5

Outputs

  • • Provider dashboard
  • • Patient solutions
  • • EHR integration
  • • Emergency protocols
🧠

Why This Matters

Unlike alert-based systems that bombard doctors with "SpO2 is 92%", our Clinical Reasoning Engine analyzes symptoms + history + environment + patterns to deliver specific solutions with clinical justification.

❌ Alert-based: "SpO2 is 92%"

✓ Reasoning-based: "Start nasal steroid today — pollen is 3x your threshold, pattern matches your March episode."

📥Input Example

Voice: Nasal resonance drops 15%
Environment: Ragweed pollen: 52 (3x threshold)
History: 3 previous exacerbations (Jan, Sep, Apr)
Peak Flow: 88% (down from 94%)

📤Output Example

Solution: Start nasal steroid today
Reasoning: Pattern matches March episode. Pollen 3x threshold. 89% ER probability without intervention.
Action: Provider notified. Patient receives text with specific instructions.
Outcome: ER visit prevented. $3,800 saved.
Product Demo

Product Demo (Early Access)

See the Clinical Reasoning Engine in action — screenshots, diagrams, and interactive demos.

What You'll See in Our Demos

🎯

Provider Dashboard

See how doctors view patients categorized by urgency (Critical → Attention → Stable) with full clinical reasoning, not alerts.

👤

Patient Experience

Experience how patients receive context-aware solutions via voice AI, text messages, and adaptive check-ins.

🧠

AI Reasoning

Watch the Clinical Reasoning Engine analyze symptoms, history, environment, and patterns to generate specific solutions.

📈

Real Outcomes

See actual patient journeys showing how early intervention prevents ER visits and saves costs.

Roadmap

From 4 conditions to 20+. Then quantum.

Building the Clinical Intelligence Engine phase by phase — with real milestones, not vaporware promises.

1
M1-12

Foundation

Intelligence Engine v1.0 with 4 conditions: UAD, Asthma, CHF, Diabetes. Doctor Dashboard. Auto-911.

🔥 Hardest Phase
2
M13-21

Validation

10 conditions. 3 pilot health systems. Prove 65% ER reduction. Multi-language voice.

⚡ High Intensity
3
M22-30

Scale

16 conditions + mental health. 20+ health systems, 10K patients. $10K+ saved/patient.

📈 Growth
⚛️
2029+

Quantum Era

50K+ patients, 20+ conditions, international. Quantum-accelerated prediction.

🌍 Global + Quantum