Ibex Medical Analytics · raw details

AI-powered Cancer Diagnostics for Pathologists · Tel Aviv-Yafo · Founded 2016

active Series C ← back to profile

Highlights

1 patentProfile claimed by owner

About

AI-powered Cancer Diagnostics for Pathologists

Ibex Medical Analytics uses artificial intelligence technology to develop clinical-grade solutions designed to detect cancer as accurately as a human pathologist. The companys Galen platform uses algorithms to analyze images, detect and grade cancer in biopsies, and point to other findings with high clinical importance, helping pathologists to reduce diagnostic error rates and enable a more efficient workflow. Deployed worldwide, Ibexs Galen Prostate and Galen Breast are AI-based cancer detection solutions used in routine clinical practice in pathology labs, with demonstrated success in detecting missed cancer cases. In addition, the company is developing computational prognostic and predictive tests that will enable enhanced patient population stratification and quicker personalized treatment selection.

Identity

NameIbex Medical Analytics
Slugibex-medical-analytics
Type / kindstartup
Crunchbase IDibex-medical-analytics
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoK3ojKcKDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressRokach Boulevard 97, Tel Aviv-Yafo, Israel

Web & social

Websitehttps://ibex-ai.com/
Careers pagehttps://ibex-ai.com/careers
LinkedInhttps://www.linkedin.com/company/18096753
Twitter / Xhttps://twitter.com/IbexMedAx
Facebookhttps://www.facebook.com/IbexMedAx
YouTubehttps://www.youtube.com/channel/UCxZlV1rPO2pHsuSJ-AubIxw

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareDigital Medical DiagnosticsMedical Decision Support
Technologies
Artificial IntelligenceMachine LearningComputer Vision
Target customers
Healthcare & Life SciencesHealthcareProvidersLaboratoriesConsumersDemographics & FamilyWomen
Business models
B2B
Tags
artificial-intelligencedoctorsdigital-healthcarediagnosticsmachine-learningmedical-image-analysisoncologylaboratoriesprecision-medicinebiopsycomputer-visiondecision-supporthospitalsbig-dataclinicsemrwomen-healthwomenpersonalization

Funding

Total raised$116.6M
Current stageSeries C

Raw source document

Show full JSON (0 KB)
{
  "0": "s",
  "1": "l",
  "2": "i",
  "3": "m",
  "4": "p",
  "5": "a",
  "6": "g",
  "7": "e",
  "8": "s",
  "9": "_",
  "10": "i",
  "11": "m",
  "12": "p",
  "13": "o",
  "14": "r",
  "15": "t"
}