About Us

Advancing medical intelligence to the next level.



Lunit’s mission is to empower physicians with clinically actionable insights
that foster accurate and cost-efficient diagnosis and treatment.
We want to make this happen through our state-of-the-art deep learning technology,
trained with a vast amount of carefully curated, quality medical data.



Physicians perform better with our product.



It has proven that with Lunit INSIGHT for Chest Radiography as a second reader,
physicians of different expertise level showed statistically significant increase in performance
in detecting pulmonary nodules in chest x-rays.

For non-radiology physicians, the performance level significantly increased unto 20%.



WE EMPOWER PHYSICIANS WITH 3 TYPES OF PRODUCTS

Smart workflow optimization and prevention of error for specialists, expert-level guidance for non-specialists

Accurate diagnostic assessment for earlier diagnosis and reduction in unnecessary recall and medical costs

Prediction of future clinical outcomes to guide treatment as a pillar of precision medicine

Our Journey

  • 2013

    Lunit Inc. founded

  • 2014

    Ranked 7th place in ImageNet <ILSVRC 2014>

  • 2015

    Raised $2M from SoftBank Ventures Korea, Formation8, K Cube Ventures
    Ranked 5th place in ImageNet <ILSVRC 2015>

  • 2016

    Raised $3.5 from Intervest, Mirae Asset Venture Investment, SoftBank Ventures Korea, and K Cube Ventures
    Won 1st place in MICCAI Tumor Proliferation Assessment Challenge <TUPAC 2016>

  • 2017

    Selected as one of the world’s top 100 AI startups by CB Insights
    Selected as one of the world’s top 5 “social impact” AI startups by NVIDIA
    Ranked 1st place in <CAMELYON Grand Challenge 2017> - post-reopening
    Won 5th place in <The Digital Mammography DREAM Challenge 2017>

  • 2018

    Raised $15M from Intervest, Legend Capital, KT Investment, SoftBank Ventures Korea, Mirae Asset Venture Investment, Formation Group, Kakao Ventures
    Published a paper in <Scientific Report>
    Published a paper in <Radiology>