TRUSTED BY

Harvard university

Fill Your Patient Funnel

Reach and retain more patients through passive sleep signals, improving clinical effectiveness along the way.

Reach Patients Earlier

Identify at-risk individuals earlier in their care journey.

Data from Day One

Walk into every consultation with easy, accessible data from day one.

Keep Patients Engaged

Turn discharged patients into a managed population.

Improve the Patient Journey

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

Step 1: Population Screening

Passively monitor potential patients at scale, detect risk signals and route the highest priority individuals into the diagnostic pathway.

Step 2: Diagnostic Assessment

Access months of longitudinal, objective data, replacing the paper sleep diary and shortening the path to diagnosis.

Step 3: Treatment and Support

Monitor adherence, track responses and keep patients engaged between clinical appointments using daily behaviour.

Step 4: Long-term Monitoring

Keep the clinical relationship alive by detecting relapse, monitoring outcomes and turning discharged patients into a managed population.

Step 1: Population Screening

Identify At-Risk Individuals

Most sleep clinic patients arrive after years of undiagnosed symptoms.

  • Identify fragmented sleep patterns, deterioration in sleep data, and disordered breathing including OSA risk detection.
  • Reach populations that would never self-refer through traditional channels with corporate wellness and insurance partnerships.
  • Prioritise outreach to the highest need cohorts with population level segmentation.

Step 2: Diagnostic Assessment

Streamline the Diagnostic Process

Diagnosis can be constrained by time, cost and limitations. Access longitudinal data from the first appointment.

  • Access months of objective data captured passively with a smartphone.
  • Replace a sleep diary and wearables with structured data, free from recall bias and inaccuracies.
  • Reduce the number of appointments and repeat studies before making a confident diagnosis.
  • Get a richer clinical picture with rich trend data, anomaly flags and night-by-night variability that a single-night study can’t provide.

Step 3: Treatment and Support

Enhance Your Treatment Plan

Add a daily behavioural layer to monitor adherence, track responses and keep patients engaged.

  • Use passive nightly tracking to verify whether behavioral prescriptions are followed between appointments.
  • Motivate patients to continue device-based and psychological treatments by tracking improvements in sleep quality.
  • Get objective evidence of treatment efficiency to support decision making.
  • Keep patients actively engaged between clinical visits with personalized coaching and progress tracking.

Step 4: Long-term Monitoring

Passively Monitor Patients

Turn discharged patients into a managed population by tracking adherence, detecting relapse and measuring outcomes.

  • Continuous nightly tracking means discharged patients are still generating clinical signals without the need for check ins.
  • Direct high risk users toward a consultation with in-app nudges and clinical alerts.
  • Reduce readmission rates and clinical burden with automated deterioration alerts to flag patients who need clinical reengagement early.
  • Access longitudinal sleep outcomes data for reporting to insurers and employers.