DoQme

Cloud-based Algorithms for Rapid Diagnostic Assistance

Health Tech & Life Sciences
Non Active, Dec 2019 ceased to operate
Pre-Funding Tel Aviv-Yafo Founded 2017
LinkedIn
Total raised
Stage
Pre-Funding
Founded
2017
Headcount
1-10
HQ
Tel Aviv-Yafo
Sector
Health Tech & Life Sciences

About

DoQMe offers a cloud-based solution that uses statistical algorithms and user experience techniques to help doctors begin the diagnosis phase while the patient is still in the waiting room. The company's solution is designed to cut 1.5 minutes from each doctor appointment and reduce wait times by up to 30% while also educating patients on health and compliance.

Company Intelligence Q&A

Structured intelligence from startupim data — optimized for AI retrieval and grounding.

What is DoQme's primary business offering?
DoQme offers a cloud-based solution that uses statistical algorithms and user experience techniques to assist doctors in the diagnosis phase while patients are in the waiting room.
When was DoQme founded?
DoQme was founded in February 2017.
What is the operational status of DoQme?
DoQme is currently inactive, having ceased operations in December 2019.
Where is DoQme headquartered?
DoQme is headquartered in Tel Aviv-Yafo, Israel.
What is DoQme's primary sector classification?
DoQme's primary sector classification is Health Tech & Life Sciences.
What technologies does DoQme utilize in its solution?
DoQme utilizes Artificial Intelligence, Machine Learning, Platforms & Interfaces, Software, Data Storage, and Cloud technologies.
Who are the founders of DoQme?
The founders of DoQme are Roi Shternin and Avi Aminov.
What is the estimated employee count for DoQme?
DoQme had an estimated employee count in the range of 1-10.
What is DoQme's current funding stage?
DoQme's current funding stage is Pre-Funding, with a total raised amount of $0 USD.

Sectors & technology

Primary sector
Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision Support
Technologies
Artificial IntelligenceMachine LearningPlatforms & InterfacesSoftwareData StorageCloud
Target customers
Healthcare & Life SciencesHealthcareInsurance CompaniesProvidersPatientsLife SciencesPharmaceuticals
Business model
B2B

Highlights

Verified

Tags

decision-supportcloud-basedclinicsmachine-learningbig-datadata-analyticsdecision-makinginsurance-companiesdiagnosticsdigital-healthcarepharma-companiesdoctorshospitalsdentistsmhealthsaaspharmaceuticalspredictive-analyticsartificial-intelligence