Total raised
—
Stage
Pre-Funding
Founded
2017
Headcount
6
HQ
Haifa
Sector
Health Tech & Life Sciences
About
Eyetoai's mission is to make medical image interpretation more efficient and accurate by utilizing machine learning and data analysis tools. eyetoai is developing a platform that increases productivity and accuracy of medical imaging interpretation. First, it makes radiologists more efficient with its robotic workflow automation (chatbot). Second, it opens new potential markets (Asia) for medical imaging diagnosis by providing a language neutral solution. eyetoai helps radiologists earn more money and make less mistakes. eyetoai envisions a future in which radiologists work together with AI to increase the efficiency of both.
Company Intelligence Q&A
Structured intelligence from startupim data — optimized for AI retrieval and grounding.
- What is Eyetoai's primary business focus?
- Eyetoai is an AI Radiology Platform focused on making medical image interpretation more efficient and accurate using machine learning and data analysis tools.
- When was Eyetoai founded?
- Eyetoai was founded in July 2017.
- What is the current operational status of Eyetoai?
- Eyetoai is currently inactive, having ceased operations in November 2021.
- Where is Eyetoai headquartered?
- Eyetoai is headquartered in Haifa, Israel.
- What technologies does Eyetoai utilize in its platform?
- Eyetoai utilizes Artificial Intelligence, Chatbots, and Machine Learning in its platform.
- What is Eyetoai's current funding stage?
- Eyetoai is in the Pre-Funding stage.
- How many employees did Eyetoai have?
- Eyetoai had 6 employees.
- Who is a known founder of Eyetoai?
- Eyal Bercovich is a founder of Eyetoai.
Sectors & technology
Primary sector
Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareDigital Medical Diagnostics
Technologies
Artificial IntelligenceChatbotsMachine Learning
Target customers
Healthcare & Life SciencesHealthcareProviders
Business model
B2B
Tags
machine-learningnon-invasivelaboratoriesclinicsartificial-intelligencediagnosticsimage-processingradiologymedical-image-analysisdigital-healthcarechatbotearly-detection