Ibex Medical Analytics records 9,117 monthly visits with -3% month-over-month growth and Contact for Pricing pricing. Lunit records 29,181 monthly visits with -12.8% growth and Contact for Pricing pricing.
AI-powered cancer diagnostics that help pathologists detect disease earlier and more accurately.
Medical AI for earlier cancer detection and precision oncology
| Dimension / Metric | | |
|---|---|---|
| Official Domain | ibex-ai.com | lunit.io |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 9.12K (9,117) | 29.18K (29,181) |
| MoM Traffic Delta | -279 (-3%) | -4.3K (-12.8%) |
| Primary Market & Share | 🇮🇱 Israel (45.5%) | 🇰🇷 South Korea (58.4%) |
| Direct Visits / mo | 3.07K | 8.31K |
| User Rating | 4.6 | 4.6 |
| Supported Platforms | Website | Website |
AI-powered cancer diagnostics that help pathologists detect disease earlier and more accurately.
Deep-learning models analyse whole-slide images to spot suspicious tissue regions and support earlier, more consistent cancer detection.
Purpose-built modules for prostate, breast, and gastric cancer workflows, covering detection, grading, and reporting support.
Designed to integrate with common scanners, slide viewers, and lab information systems so it works alongside existing infrastructure.
Generates measurements and synoptic-style data that feed directly into reports, reducing manual documentation effort.
Medical AI for earlier cancer detection and precision oncology
Deep-learning analysis of 2D and 3D mammography that marks suspicious lesions to help radiologists detect breast cancer earlier and reduce missed findings.
Chest X-ray analysis that highlights potential abnormalities such as nodules and other findings, supporting faster triage in high-volume radiology workflows.
Tumor microenvironment analysis that quantifies tumor-infiltrating lymphocytes and immune phenotypes from pathology slides, informing immunotherapy research.
AI-assisted immunohistochemistry quantification covering HER2, PD-L1, and other markers, including uIHC and a gene-expression prediction tool for standardized scoring.
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceFree AI skin and mole scanning with optional dermatologist review
Free / Open-sourceFree AI skin and mole scanning with optional dermatologist review
FDA-cleared dental AI for diagnostics, imaging, and insurance workflow
FDA-cleared dental AI for diagnostics, imaging, and insurance workflow
SpecialistFDA-cleared dental AI for sharper diagnosis and a smoother front office
SpecialistFDA-cleared dental AI for sharper diagnosis and a smoother front office
Free / Open-sourceGenerative AI for medical and everyday health questions
Free / Open-sourceGenerative AI for medical and everyday health questions
Free / Open-sourceAI analysis that turns X-rays, CT scans, MRI and ultrasound into plain-language reports
Free / Open-sourceAI analysis that turns X-rays, CT scans, MRI and ultrasound into plain-language reports
SpecialistFrontier clinical AI grounded in leading medical evidence
SpecialistFrontier clinical AI grounded in leading medical evidence
SpecialistAI lung cancer screening that finds eligible patients and scores every nodule
SpecialistAI lung cancer screening that finds eligible patients and scores every nodule
SpecialistEnterprise clinical AI that turns medical imaging into faster, more confident care decisions.
SpecialistEnterprise clinical AI that turns medical imaging into faster, more confident care decisions.
Free / Open-sourceAI case review for cancer and complex conditions, with human oncologists in the loop
Free / Open-sourceAI case review for cancer and complex conditions, with human oncologists in the loop
SpecialistAI-powered radiology reporting and DICOM-native medical imaging annotation
SpecialistClinically proven AI that helps radiologists find breast cancer earlier.
SpecialistClinically proven AI that helps radiologists find breast cancer earlier.
