CVAid Medical · raw details

AI-based Stroke Disease Management Platform · Tel Aviv-Yafo · Founded 2018

active Series A ← back to profile

Highlights

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About

AI-based Stroke Disease Management Platform

CVAid focuses on the field of stroke telemedicine (telestroke), aiming to improve stroke diagnosis and spread its advanced technologies to save lives. The company offers a full-cycle stroke diagnosis and disease management platform, encompassing pre-hospital early diagnosis, in-hospital process management, and follow-up upon discharge from the hospital. The company's CVA-Flow is a comprehensive telestroke system that ensures early and accurate diagnosis of stroke by certified neurology teams using a standard smartphone and dedicated cloud servers. The CVA-Flow, supported by its artificial-intelligence module (CVA-Core), synchronizes all stroke stakeholders (e.g. patients, EMS, ER, stroke centers, medical teams, and management). CVAid uses a proprietary database of visual and auditory recordings of stroke patients, along with machine- and deep-learning tools, to create an all-in-one software solution that analyzes data in real time, providing neurologists with support tools to remotely diagnose patients without sacrificing quality.

Identity

NameCVAid Medical
Slugcvaid-medical
Type / kindstartup
Crunchbase IDcvaid-medical
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4Nyjq8wIDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressRaul Wallenberg Street 6, Tel Aviv-Yafo, Israel

Web & social

Websitehttps://www.cvaidmedical.com/
LinkedInhttps://www.linkedin.com/company/40653038

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareDigital Medical DiagnosticsMedical Decision Support
Technologies
Data StorageCloudArtificial IntelligenceMachine Learning
Target customers
Healthcare & Life SciencesHealthcarePatientsProviders
Business models
B2C
Tags
deep-learningalgorithmsdigital-healthcarediagnosticsdisease-managementmachine-learningcloudearly-detectionemrdoctorsmobile-applicationsdecision-supporthospitalsreal-timestrokeartificial-intelligencepatient-caremedical-technologiespatientsremote-monitoring

Funding

Total raised$4.0M
Current stageSeries A

Raw source document

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