TRUSTED BY

Harvard university

Increase Your Pipeline

From early patient identification to long-term adherence and outcome evidence.

Identify New Patients

Find at-risk patients before they seek care. 

Measure Treatment Response

Get a continuous, passive read of efficiency.

Generate Real Evidence

Monitor performance with longitudinal data.

Improve the Patient Journey

Sleep Cycle adds measurable impact to each step of the patient lifecycle.

Step 1: Early Risk Detection

Detect at-risk patients by identifying risk indicators.

Step 2: Diagnosis and Prescribing

Access months of longitudinal, objective data, to enrich diagnosis.

Step 3: Treatment Onboarding

See the effects of prescriptions with continuous passive signals.

Step 4: Performance Monitoring

Monitor treatment effectiveness post-prescription. 

Step 1: Early Risk Detection

Passively Detect Risk

Sleep data tells a story. Identify risk indicators at both individual and population level.

  • Respiratory: Passively surface Sleep Disordered Breathing signals.
  • Neurology: Identify REM disruption and circadian irregularities as early markers.
  • OSA: Flag risk with Sleep Disordered Breathing frequency and OSA event proxies.
  • Cardiometabolic: Measure sleep fragmentation to identify CVD and metabolic risk.

Step 2: Diagnosis and Prescribing

Enrich the Diagnostic Process

Replace self-reporting with objective trend data, shortening the diagnostic path.

  • Respiratory: Limit the need for hospital sleep studies with objective data.
  • Neurology: Support CNS drug prescriptions with longitudinal data.
  • OSA: Get months of objective data before the first consultation.
  • Cardiometabolic: Support prescription decisions with circadian misalignment data.

Step 3: Treatment Onboarding

Avoid Device Abandonment

Monitor early treatment response, flag concerns, and keep patients engaged.

  • Respiratory: Support patients that struggle and avoid discontinuation by monitoring RX response.
  • Neurology: Track early CNS drug response using changes in sleep architecture.
  • OSA: Monitor treatment effects and drive patient motivation during initiation.
  • Cardiometabolic: Drive patient motivation using sleep quality improvement as a cardiometabolic recovery indicator.

Step 4: Performance Monitoring

Get Real-World Evidence

Keep patient relationships alive post-prescription with sleep tracking.

  • Identify early signals for relapse or treatment adjustment.
  • Generate real world evidence that supports payor access.
  • Improve patient retention using a daily behaviour.