EnsoHST
FDA-cleared, multi-night home sleep test for scalable sleep disorder diagnosis
Device · HybridCompany source
Company profile
About EnsoData
EnsoData is a health AI company specializing in waveform intelligence and sleep diagnostics. The company has developed an AI-driven ecosystem that powers sleep medicine from diagnosis through long-term patient care, serving over 500 sleep clinics and analyzing more than 2.8 million sleep studies. EnsoData's flagship products include EnsoHST, an FDA-cleared multi-night home sleep test that enables scalable sleep disorder diagnosis; EnsoSleep, an AI-assisted sleep scoring solution that automates polysomnography (PSG) and home sleep apnea test (HSAT) analysis; EnsoHub, a unified platform for accessing and reviewing AI-scored sleep studies; and Therapy Track for long-term therapy monitoring. The company's technology is built on one of the largest waveform databases in the world, enabling it to extract clinical insights from physiological signals. EnsoData's mission is to harness data to make healthcare more accurate, efficient, and affordable, with a particular focus on addressing the estimated 54 million Americans and 936 million people globally who suffer from sleep apnea, 80% of whom remain undiagnosed. Beyond sleep, the company's research aims to find hidden intelligence in waveforms to diagnose, monitor, and intercept various disease states including heart disease, diabetes, mental health disorders, seizure disorders, and neurodegenerative conditions.
Company description EnsoData official website
Primary marketRemote Patient Monitoring & Wearables
Commercial modelCommercial information available on request
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01 · Operating footprint
Where the Company operates
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Clinical focus
- Alzheimer's
- Atrial fibrillation
- Dementia
- Diabetes
- Heart disease
- Mental health disorders
- Obstructive sleep apnea (OSA)
- Parkinson's
- Seizure disorders
- Sleep apnea
- Sleep-disordered breathing
- Stroke
Who it serves
- Health systems
- Hospital sleep centers
- Sleep clinics
- Sleep medicine providers
Deployment & integration
Cloud Saas · Hybrid deployment with recorded integration context.
Geographic context
MarketsUnited States
Company sourceOfficial website
Company milestones
Platform expansion
Analyzed 2.8+ million sleep studies, serving 500+ sleep clinics, supporting 100,000+ patients monthly. Four FDA clearances obtained. Expanded product line to include full diagnostic-to-therapy pathway.
Partnerships
Recorded partners
- Advanced Sleep Management
- CHI St. Joseph
- Chicago ENT/Chicago Sleep Center
- Rush University Sleep Center
- Sleep Associates of Connecticut
- UC Davis Medical Center
- University of Washington School of Medicine
- Valley Sleep Center
- Western Sleep Medicine
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
EnsoHub
Unified platform to access, review and edit all AI-scored sleep studies
Platform · Cloud SaaSCompany source
EnsoSleep
FDA-cleared AI-assisted sleep scoring and analysis solution
Software · Cloud SaaSCompany source
Therapy Track
Long-term therapy monitoring extending the sleep care pathway
Software · Cloud SaaSCompany source
03 · Research intelligence
Research Intelligence evidence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Evidence position
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Publications & preprints
Validation of an artificial intelligence based single-channel photoplethysmography home sleep apnea test.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · Feb 17, 2026
Emergency Physician Employer Market Share and Concentration by Ownership Type.Annals of emergency medicine · Jan 1, 2026
Association between positive airway pressure therapy and healthcare costs among older adults with comorbid obstructive sleep apnea and common chronic conditions: an actuarial analysis.Sleep · Sep 9, 2025
Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · Jul 1, 2024
Association of hypoglossal nerve stimulator response with machine learning identified negative effort dependence patterns.Sleep & breathing = Schlaf & Atmung · May 1, 2023
Artificial intelligence and sleep: Advancing sleep medicine.Sleep medicine reviews · Oct 1, 2021
Clinical validation
Clinical-trial records
No linked records are currently available.
Regulatory
Regulatory records
AuroraK231355 · 510k · Feb 9, 2024
EnsoSleepK210034 · 510k · Jun 16, 2021
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
97% patient success rate
EnsoHST home sleep testing
>92% sensitivity for sleep apnea
EnsoHST diagnostic accuracy
5.5 minute average difference in sleep time
Comparison to traditional methods
30% growth in HSAT program
Valley Sleep Center case study
Reduced scoring time and backlog elimination
EnsoSleep automation for RPSGTs
Advanced Sleep Management
Controlling quality and eliminating inconsistencies in reporting
40 physicians no longer complain about inconsistencies, improved efficiency and quality
CHI St. Joseph
Freeing up time to enhance patient care and develop new programs
Time freed to enhance patient care, develop new programs, build physician relationships, improve quality reporting
Chicago ENT/Chicago Sleep Center
Enabling comparative data analysis across baseline and therapy nights
Ability to run baseline followed by therapy night with comparative data analysis
Rush University Sleep Center
Eliminating study backlog and reducing patient wait times
Cutting into backlog, much shorter patient wait times for results
Sleep Associates of Connecticut
Improving patient testing and diagnostic workflow with cloud-based platform
Improved patient testing and diagnostic workflow, sleep lab running more smoothly
Sleep Data
Reducing costs and processing time while improving scalability
Decreased costs, decreased processing time, improved physician buy-in regarding accuracy, increased scalability
Valley Sleep Center
Moving beyond legacy HSAT solutions to expand patient care and add new locations
30% growth in HSAT program, added cash-pay option, expanded to new locations without increasing staff
Western Sleep Medicine
Improving turnaround time and patient setup efficiency
Great and efficient turnaround time, smooth and easy patient setup process
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
06 · Company updates
Updates from EnsoData
Recent articles published on EnsoData's official website.
Hottest Sensor in Clinical Use: Leveraging the Non-Invasive PPG Signal Across Healthcare Verticals
Read on EnsoDataScale Home Sleep Testing and Increase Revenue with EnsoSleep
Read on EnsoDataEnsoHST Enables Sleep Study Analysis from Pulse Oximeters
Read on EnsoDataIs Single-Night Home Sleep Testing Failing Your Patients? Multi-Night Testing is the Solution
Read on EnsoDataWhy Now Is the Time to Switch Your Home Sleep Testing Solution
Read on EnsoData07 · HAIC coverage
Coverage and analysis
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Company sources and channels
Curated official destinations from the active Company record.
09 · Market pathway
Additional Companies in this Market
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Remote Patient Monitoring & Wearables
Companies providing AI-powered remote patient monitoring solutions, wearable health devices with AI analytics, continuous health tracking, or platforms that monitor patients outside clinical settings. Includes general wellness wearables with AI coaching, respiratory monitoring devices, and connected health platforms that aggregate and analyze physiological data from sensors.
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Record-level provenance and review context.