AI STRATEGY · SERIES A · 2026

AI Roadmap: From Clinical Foundation to Autonomous Intelligence

Ognomy Sleep is building the only therapy-agnostic, longitudinal sleep dataset capable of training real-world clinical AI agents for personalized apnea care.

PHASE 1Now
Clinical Foundation

AI grounded in real patient data — already in motion.

  • AI note generation
  • Structured intake summarization
  • Automated follow-up cadence logic
  • Adherence risk scoring
In Progress
PHASE 212–18 Months
Predictive Intelligence

From reactive care to proactive, personalized treatment optimization.

  • Therapy response prediction models
  • Mobile digital coach to optimize sleep care
  • Multi-modal data driven outcome modeling
  • Physician copilot embedded in visit UI
In Development
PHASE 3Long Term
Autonomous Systems

AI as scalable clinical infrastructure — powering the next era of sleep care.

  • Autonomous adherence management loops
  • Population-level optimization contracts
  • Payer performance partnerships
  • White-labeled clinical intelligence layer
Strategic Vision
THE DATA MOAT

A Proprietary, Longitudinal View
of the Patient Journey

Unlike fragmented data from individual devices or encounters, Ognomy Sleep integrates multi-modal data across the full care continuum — condition-specific, outcome-linked, and exclusive to Ognomy Sleep.

DATA SOURCEDESCRIPTION
Initial AssessmentSymptom questionnaires, sleep quizzes, demographic data, and comorbidity information.
DiagnosisAt-home sleep test (HST) results — oximetry, breathing patterns, and sleep staging.
Treatment PathwayClinical decisions across CPAP, oral appliances, GLP-1 medications, and surgical referrals.
Device TelemetryResMed CPAP data (AHI, adherence, mask leak) and wearable biometrics (sleep stages, HRV, activity).
Clinical EncountersStructured notes from virtual visits with board-certified sleep specialists.
OutcomesPatient-reported outcomes, treatment adjustments, adherence patterns, and long-term health improvements.
Unique

Multi-partner data (ex. ResMed Airview + Oura + HST + Lilly GLP-1 Rx + clinical notes + adherence + usage patterns) in one longitudinal record.

Longitudinality

Full patient journey from first symptom through long-term management, creating temporal depth no point-in-time dataset can replicate.

Outcome Linkage

Treatment decisions tied directly to adherence, AHI reduction, and quality-of-life outcomes — enabling monetization across providers, payers, and pharma.

OUR STRATEGIC POSITION
"The only therapy-agnostic, longitudinal sleep dataset capable of training real-world clinical AI agents for personalized apnea care."

Dr. Daniel Rifkin, MD, MPH, FAASM · Founder & CEO, Ognomy Sleep