Pioneering the Future of
AI-Driven Early Cancer Detection
Trained on 1M+ GI Endoscopy
Images
Our AI has been trained on a vast dataset of over 1 million GI endoscopy images, equipping it to assist in identifying early-stage cancer with precision.
95%+ Accuracy in Early Cancer Detection
With a 95%+ accuracy rate, Apex AI enhances clinical decision-making—providing healthcare providers with AI-powered insights for earlier and more informed interventions.
Expanding Adoption
in Healthcare
Apex AI is in the process of being adopted by 1,000+ hospitals and clinics—advancing early detection and improving patient outcomes worldwide.
Our Mission
We are committed to enhancing early cancer detection through AI, ensuring patients receive timely and accurate risk assessments. Early-stage signs of GI cancer can be subtle and easily overlooked, making early detection critical for better outcomes.
Apex AI provides precision-driven analysis, helping healthcare providers identify subtle indicators that may otherwise go unnoticed—supporting informed clinical decision-making and proactive care.
Meet the team
Sung Kim
With a Ph.D. from Seoul National University and a background in AI, cloud computing, and supercomputing, Sung Kim has led multiple tech ventures, earning industry accolades in innovation and entrepreneurship. He holds a Master’s in Computer Science from Rensselaer Polytechnic Institute (RPI) and previously served as an HPC/Grid/Cloud Architect at Sun Microsystems. His leadership at Apex AI is shaping the future of AI-powered cancer detection.
Chang-Keol Hong, MD
A leading GI endoscopy specialist, Chang-Keol Hong has decades of clinical experience in stomach and colon cancer diagnostics. Having established and led major medical centers and data-driven healthcare initiatives, his expertise ensures that Apex AI meets the highest standards of medical precision and reliability.
Milestones & Recognitions
Apex AI has been at the forefront of AI-driven early cancer detection, securing industry-leading achievements, patents, and research collaborations.
Selected for the TIPS (Tech Incubator Program for Startups) Overseas Marketing Support Program, backed by the Korean Ministry of SMEs and Startups.
Recognized under the Smart Healthcare Technology Commercialization Initiative for advancing AI-driven diagnostics.
Formed a strategic partnership with iKooB, strengthening AI healthcare initiatives and expanding technological applications.
Completed the 2nd-year TIPS and Startup Commercialization Support Program, advancing AI-powered cancer risk prediction.
Conducted a multi-hospital collaborative study with Seoul St. Mary’s Hospital, Yeouido St. Mary’s Hospital, and five additional hospitals focusing on early-stage cancer detection.
Developed an AI system utilizing CDW (Clinical Data Warehouse) for predicting precancerous lesions with high accuracy.
Selected for the TIPS Core Project for developing an AI-powered early cancer detection and risk tracking platform.
Successfully developed an AI model for Acute Kidney Injury (AKI) prediction, expanding our AI’s diagnostic applications.
Developed an AI-based deep learning search model for enhanced diagnostic accuracy.
Earned recognition as a Certified Venture Company, solidifying Apex AI's position as a leader in AI-driven medical solutions.
Completed the AI platform for early-stage gastric cancer risk prediction.
Secured Seed investment from a leading healthcare accelerator.
Selected for early-stage business support under the Korea Consumer Agency’s program.
Recognized as a core research company under the Incheon Technopark’s Fourth Industrial Revolution Initiative.
Recognized as the #1 innovation at the 2019 NEMIC (New England Medical Innovation Center) MedTech Bootcamp, solidifying Apex AI’s leadership in AI-driven diagnostics.
Patents & Intellectual Property
Apex AI has developed multiple patented AI technologies, enhancing precision in early-stage cancer detection:
AI-powered batch scheduling system utilizing graph-based log analysis.
Patent No. 10-2020-0003735
AI-driven endoscopic image analysis for early detection of gastric cancer risk.
Patent No. 10-2020-0052393
AI-powered colonoscopy imaging system for colorectal cancer risk prediction.
Patent No. 10-2021-0025707
AI-enhanced gastrointestinal endoscopy analysis for cancer risk assessment.
Patent No. 10-2021-0025708
AI-based esophageal endoscopy system for early-stage disease risk detection.
Patent No. 10-2021-0025709
Predictive analytics system leveraging time-series medical imaging data for disease onset forecasting.
Patent No. 10-2021-0025710
Feedback-optimized AI machine learning system for improved model efficiency.
Patent No. 10-2021-0026094
AI-driven medical imaging and data analysis for advanced disease prediction.
Patent No. 10-2023-0113554
Stepwise AI learning system for optimized machine learning model training
Patent No. 10-2023-0113555