# Lunit

According to OpenAITools.app telemetry verified on 2026-11-11, Lunit (lunit.io) is an AI platform indexed under AI Healthcare generating 29.18K monthly visits with a month-over-month traffic delta of -4.3K (-12.8%). Its primary geographic market is South Korea (58.4% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include iCAD (6.1K visits/mo), Oatmeal Health (40.26K visits/mo), RapidAI (20.17K visits/mo).

Medical AI for earlier cancer detection and precision oncology

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Lunit |
| Handle | lunit |
| Status | active |
| Origin | official |
| Maintenance | active |
| Official Domain | lunit.io |
| Website URL | https://www.lunit.io/en |
| Categories | AI Healthcare, AI Medical Diagnosis, AI Image Recognition |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 29,181 |
| MoM Traffic Change | -4,295 |
| MoM Growth Rate | -12.8% |
| Primary Market | South Korea |
| Market Share | 58.4% |
| Direct Visits | 8,314 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 3,277 |
| Email Visits | 3 |
| Review Score | 4.6 |
| Saved Count | 1 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Contact for Pricing |
| Tags | Medical AI, Cancer screening, Cancer diagnosis, AI imaging, Radiology AI, Oncology AI, Lung cancer, Breast cancer, Immunotherapy, AI biomarker, Chest X-ray, Mammography |

## Overview

Lunit is a medical AI company headquartered in Seoul, South Korea, spun out of deep-learning research and focused squarely on oncology. Rather than chasing general-purpose healthcare AI, it has built two connected product families: one that helps clinicians find cancer earlier in imaging, and one that extracts quantitative biology from tissue to guide treatment and drug development. Its technology is used across a large international footprint spanning more than 10,000 customer sites in over 70 countries, with hundreds of peer-reviewed publications and industry partnerships behind the deployments.

On the screening side, the Lunit INSIGHT family analyzes mammograms and chest radiographs. Lunit INSIGHT MMG handles 2D mammography while Lunit INSIGHT DBT covers 3D breast tomosynthesis, both designed to flag suspicious regions so radiologists can prioritize the studies that need attention most. Lunit INSIGHT CXR does the same for chest X-rays. Around these detection engines Lunit has assembled program-level tooling: density assessment, risk assessment and risk pathways, live mammography reporting, quality management, analytics, and a patient hub, so a screening service can run AI as part of its routine rather than as an isolated experiment.

On the precision oncology side, the Lunit SCOPE portfolio analyzes pathology images. Lunit SCOPE IO quantifies the tumor microenvironment and immune cell infiltration, which matters for immunotherapy strategy, while the Lunit SCOPE IHC Suite supports immunohistochemistry quantification across markers such as HER2 and PD-L1, alongside a genotype prediction tool. These products are aimed at biopharma partners, clinical trial teams, and companion diagnostic development, where reproducible quantitative readouts are the bottleneck. Because Lunit sells to hospitals, screening programs, and pharmaceutical companies, pricing is quoted directly rather than published, and regulatory status differs by market.

## Pricing & Plans

Contact for pricing. Lunit sells enterprise software and platform licenses to hospitals, screening programs, and biopharma partners, so commercial terms and deployment costs are quoted directly through its sales team. No public price list is offered.

## Key Features & Capabilities

- **Lunit INSIGHT MMG and DBT:** Deep-learning analysis of 2D and 3D mammography that marks suspicious lesions to help radiologists detect breast cancer earlier and reduce missed findings.
- **Lunit INSIGHT CXR:** Chest X-ray analysis that highlights potential abnormalities such as nodules and other findings, supporting faster triage in high-volume radiology workflows.
- **Lunit SCOPE IO:** Tumor microenvironment analysis that quantifies tumor-infiltrating lymphocytes and immune phenotypes from pathology slides, informing immunotherapy research.
- **Lunit SCOPE IHC Suite:** AI-assisted immunohistochemistry quantification covering HER2, PD-L1, and other markers, including uIHC and a gene-expression prediction tool for standardized scoring.
- **Screening analytics and workflow tools:** Live mammography reporting, risk assessment, risk pathways, quality management, and patient-facing tools that embed AI into the wider screening program.

## Primary Use Cases

- **Increase cancer detection in screening programs (Radiology department):** Add a second, tireless read to every mammogram and chest X-ray so subtle cancers surface sooner and benign cases are handled with confidence.
- **Run risk-stratified breast screening (Population health and screening manager):** Use AI-driven density, risk, and quality tools to segment screening populations and allocate follow-up resources where they matter most.
- **Analyze the tumor microenvironment at scale (Oncology researcher):** Quantify tumor-infiltrating lymphocytes and immune phenotypes from slides to test immunotherapy hypotheses and select patients for trials.
- **Support companion diagnostics and biomarker strategy (Biopharma translational team):** Standardize HER2, PD-L1, and other IHC scoring with AI-assisted quantification to support reproducible endpoints in regulated studies.

## Strengths

- Clinically validated radiology AI with documented regulatory clearances and published evidence
- Covers two ends of the cancer pathway — screening detection and precision oncology biomarkers — in one vendor relationship
- Wide real-world adoption across many countries, which means integrations and workflow lessons already exist
- Strong research output and biopharma partnerships support credibility for trial and CDx work
- Modular products let a hospital start with mammography or chest X-ray and expand later

## Frequently Asked Questions

### What kind of company is Lunit?
Lunit is a South Korean medical AI company founded on deep-learning research. It develops AI software for cancer screening (radiology) and precision oncology (pathology and biomarker analysis), and sells it to hospitals, screening programs, and biopharma partners.

### Which products does Lunit offer?
The cancer screening line includes Lunit INSIGHT MMG (2D mammography), Lunit INSIGHT DBT (3D mammography), and Lunit INSIGHT CXR for chest radiography, along with supporting analytics and patient tools. The precision oncology line includes Lunit SCOPE IO for tumor microenvironment analysis and the Lunit SCOPE IHC Suite (uIHC, HER2, PD-L1, GP).

### Is pricing published?
No. Lunit sells to healthcare systems, screening providers, and pharmaceutical companies, so commercial terms are arranged directly with its sales team rather than posted publicly. Contact the company for a quote.

### Is Lunit a regulated medical device vendor?
Yes. Lunit publishes product regulatory information and medical device registrations, and its clinically deployed products are subject to regional regulatory clearances such as CE marking and FDA clearance. Availability varies by country.

### Can researchers work with Lunit?
Lunit has an extensive publication record and partnerships with academic and industry groups, so research collaboration and biopharma partnerships are a core part of how the company operates.

### What is Lunit's monthly traffic and growth trend?
Lunit currently receives 29.18K monthly visits, with a month-over-month traffic change of -4.3K (-12.8% growth rate). Its primary source market is South Korea (58.4% share), including 8.31K direct visits/mo and — organic search visits/mo.

### Is Lunit free? What is its pricing model?
Lunit operates on a Contact for Pricing pricing model. Contact for pricing. Lunit sells enterprise software and platform licenses to hospitals, screening programs, and biopharma partners, so commercial terms and deployment costs are quoted directly through its sales team. No public price list is offered. Supported billing and checkout platforms include: not listed.

### What are the best Lunit alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Lunit are: 1. iCAD (6.1K visits/mo); 2. Oatmeal Health (40.26K visits/mo); 3. RapidAI (20.17K visits/mo); 4. CT Read (103.16K visits/mo); 5. Ibex Medical Analytics (9.12K visits/mo).

### Which platforms and core AI capabilities does Lunit support?
Lunit is classified under AI Healthcare, AI Medical Diagnosis, AI Image Recognition, supports the following platforms: Website, and its core capability tags include: Medical AI, Cancer screening, Cancer diagnosis, AI imaging, Radiology AI, Oncology AI.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [iCAD](https://openaitools.app/tool/icadmed-com) | 6,102 | Contact for Pricing | [Compare](https://openaitools.app/compare/icadmed-com-vs-lunit) |
| [Oatmeal Health](https://openaitools.app/tool/oatmeal-health) | 40,264 | Contact for Pricing | [Compare](https://openaitools.app/compare/lunit-vs-oatmeal-health) |
| [RapidAI](https://openaitools.app/tool/rapidai-com) | 20,172 | Contact for Pricing | [Compare](https://openaitools.app/compare/lunit-vs-rapidai-com) |
| [CT Read](https://openaitools.app/tool/ct-read) | 103,157 | Paid | [Compare](https://openaitools.app/compare/ct-read-vs-lunit) |
| [Ibex Medical Analytics](https://openaitools.app/tool/ibex-ai-com) | 9,117 | Contact for Pricing | [Compare](https://openaitools.app/compare/ibex-ai-com-vs-lunit) |
| [Pearl](https://openaitools.app/tool/hellopearl-com) | 221,155 | Contact for Pricing | [Compare](https://openaitools.app/compare/hellopearl-com-vs-lunit) |
| [Overjet](https://openaitools.app/tool/overjet-ai) | 256,150 | Contact for Pricing | [Compare](https://openaitools.app/compare/lunit-vs-overjet-ai) |
| [Healz.AI](https://openaitools.app/tool/healz-ai) | 12,433 | Freemium, Free Trial, Paid | [Compare](https://openaitools.app/compare/healz-ai-vs-lunit) |
| [MD.ai](https://openaitools.app/tool/md-ai) | 6,650 | Contact for Pricing | [Compare](https://openaitools.app/compare/lunit-vs-md-ai) |
| [ScanSkinAI](https://openaitools.app/tool/scanskinai) | 265,770 | Freemium, Paid | [Compare](https://openaitools.app/compare/lunit-vs-scanskinai) |
| [Glass Health](https://openaitools.app/tool/glass-health) | 41,068 | Contact for Pricing | [Compare](https://openaitools.app/compare/glass-health-vs-lunit) |
| [0xmd](https://openaitools.app/tool/0xmd-com) | 128,262 | Freemium | [Compare](https://openaitools.app/compare/0xmd-com-vs-lunit) |

---
Source: https://openaitools.app/tool/lunit