Kaia Health
Complete health journey intelligence that learns from every encounter.
From initial screening through outcomes tracking, Kaia Health manages the complete care coordination lifecycle with AI confidence scoring. Every clinician correction makes the system measurably better — with HIPAA-compliant audit trails.
Full Lifecycle
Every stage of the health journey, powered by intelligence.
Screening
Initial patient intake, risk stratification, and social determinants.
Assessment
Symptom analysis, developmental milestones, and clinical history review.
Clinical Decision Support
Evidence-based treatment suggestions with confidence-scored recommendations.
Care Coordination
Multi-provider coordination, referral management, and care plan tracking.
Outcomes
Treatment effectiveness analysis, readmission prevention, and quality metrics.
Classification
Four categories. One confidence score. Full clinical reasoning.
Critical symptoms requiring immediate medical attention — fever spikes, breathing difficulties, allergic reactions.
Standard developmental checkups, vaccinations, well-child visits tracking normal growth patterns.
Proactive health screenings, milestone assessments, nutritional guidance based on age-appropriate benchmarks.
Mental health indicators, behavioral concerns, family dynamics requiring careful clinical approach.
The Learning Loop
Every correction makes the system smarter.
AI Triages
Submit a health record. The Intelligence Engine analyzes symptoms, history, and developmental markers with confidence-scored assessments.
Clinician Reviews
Pediatricians review AI triage results. When the model gets it wrong, they correct it — adding clinical context the AI missed.
System Learns
Each correction creates a training data pair. The model improves on pediatric-specific patterns, measurably, every month.
Market Opportunity
Built for the scale of pediatric healthcare.
Health tech market size
Confidence threshold (HIPAA)
Compliant by design
Intelligence Engine
Every clinician correction flows through the five-layer continuous learning system — from prompt refinements ($0.03, instant) to architecture evolution (monthly, human-required). Each correction is triaged and routed to the appropriate learning mechanism.
See the full Intelligence Engine architecture →Health Differentiator
HIPAA by design.
Healthcare AI cannot be retrofitted for compliance. Kaia Health enforces HIPAA at every layer of the Intelligence Engine — from data ingestion to model training to output delivery.
0.90
Higher Confidence Threshold
Healthcare requires 0.90 confidence vs. 0.85 for general verticals. Below-threshold classifications always route to clinician review.
Tenant Data Isolation
Patient data never leaves the tenant boundary. No cross-organization data sharing. Federated learning improves models without exposing PHI.
Consent-Level Controls
Granular data consent levels prevent cross-organization sharing. Each provider controls exactly what data contributes to ecosystem learning.
Explore Other Verticals
Same Intelligence Engine. Different industries.
See pediatric intelligence in action.
Triage a health record. Correct the AI. Watch the learning loop adapt.