SleepAI · raw details

AI-Powered Sleep Apnea Detection · Modi'in Ilit · Founded 2024

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Highlights

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About

AI-Powered Sleep Apnea Detection

SleepAI offers an AI-based medical monitoring system designed to address the unmet need for accurate, accessible, and scalable detection of obstructive sleep apnea (OSA) and sleep disorders. Despite the high prevalence of OSA and its strong association with severe health complications such as cardiovascular events, respiratory failure, and increased mortality, current screening practices are limited, relying mainly on low-accuracy questionnaires or expensive, time-consuming sleep lab studies.

The solution leverages oximetry signal analysis to detect all levels of OSA severity with clinical-grade accuracy comparable to polysomnography (PSG). It enables non-invasive, multi-night, at-home or in-hospital diagnosis, classification of sleep stages, and continuous patient monitoring. The technology has undergone successful clinical validation at a leading hospital and aims to make high-quality sleep diagnostics more widely available, reducing underdiagnosis, improving patient outcomes, and lowering healthcare costs. Targeting a multibillion-dollar global market with established reimbursement pathways and lacking direct competitors offering comparable clinical-grade, scalable solutions, the system fills a critical gap in sleep disorder detection and management.

Identity

NameSleepAI
Slugsleepai
Type / kindstartup
Source _idl27LnIuDMvWyoUM4EPsMLtQ0RvJuhAqRmTc1aC3hOkxfvCbIV2jMmg

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtJudea and Samaria Area
HQ cityModi'in Ilit
HQ addressModi'in Ilit

Web & social

Websitehttps://sleep-ai.org/
LinkedInhttps://www.linkedin.com/company/106583728

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcarePatient Remote Monitoring
Target customers
Healthcare & Life SciencesHealthcareInsurance CompaniesProvidersMedical Devices IndustryMedical Equipment
Business models
B2B
Tags
wellnessdiagnosticssleep-disordersmonitoringdigital-healthcarepersonalized-treatment

Funding

Total raised$820K
Current stagePre-Seed

Raw source document

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