BrainWatch Tech · raw details

Continuous Pupillary Monitoring System · Tel Aviv-Yafo · Founded 2020

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About

Continuous Pupillary Monitoring System

BrainWatch Tech is developing a real-time, continuous, automatic pupil reflex monitoring system for assessing the neurological status of unconscious patients in cases of traumatic brain injury, stroke, and brain surgery. The technology behind BrainWatch is an automatic monitoring system of the pupillary light reflex through closed eyes, using an optical system for image acquisition and AI for image and data analysis. BrainWatch's solution continuously monitors pupillary activity in unconscious patients through closed eyes, immediately alerting surgeons and staff to changes in the patient's condition. The system also enables pupil monitoring in real time during complex brain surgery. The product will look like a pair of virtual reality goggles, equipped with a camera lens and a light that will continuously monitor, measure, and record pupil size and reflex through the closed eyelids of patients with severe brain injury. The continuous monitoring will create a record of the patient's condition and response to treatment over time. BrainWatch Tech was established in the eHealth Ventures incubator, which fosters early-stage digital health start-ups.

Identity

NameBrainWatch Tech
Slugbrainwatch-tech
Type / kindstartup
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4KvQ5okKDA

Status

Statusinactive
Status reasonNon Active, Dec 2024 ceased to operate
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressProf. Yehezkel Kaufmann St 2, Tel Aviv-Yafo, Israel

Web & social

LinkedInhttps://www.linkedin.com/company/80924944

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcarePatient Remote Monitoring
Technologies
Artificial IntelligenceComputer Vision
Target customers
Healthcare & Life SciencesHealthcareProviders
Business models
B2B
Tags
surgeonshospitalsautomationstrokeearly-detectionmedical-technologiesmonitoringremote-monitoringalert-systemreal-timeneurologydigital-healthcare

Funding

Total raised
Current stageSeed

Raw source document

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