78% of Chronic Diseases Are Diagnosed Too Late. We're Changing That.
Corpus AI detects risks before symptoms. So people get help before it's too late.
Imagine a world where chronic diseases are detected years before symptoms appear—saving lives, improving quality of life, and drastically cutting healthcare costs. At Corpus, we're making that future a reality.
Why?
We believe healthcare should prevent disease before it happens, not just treat it after it’s too late.
Today, 78% of chronic diseases are diagnosed only after irreversible organ damage, costing lives and driving healthcare costs up by as much as 8–10 times.
Our mission is to transform healthcare from reactive treatment to proactive prevention—saving lives, improving quality of life, and reducing costs worldwide.
How
Corpus AI uses advanced machine learning to predict the risk of chronic diseases up to 3 years before symptoms appear. We securely analyze patient data—EHR, claims, or lab results—to identify early warning signs and provide healthcare teams with actionable, personalized recommendations.
What
Corpus AI is a predictive analytics platform for:
Insurers
Reduce claim costs by detecting disease early
Healthcare providers
Deliver proactive, life-saving interventions
Governments
Improve population health outcomes
How It Works
Proven Impact
- Heart attack risk detected up to 12 months early
- Diabetes risk identified years before complications
- Cost savings from $6,800/year in late-stage care to $850/year in prevention
Late Diagnosis is Costly—In Lives and Dollars
Chronic diseases cause over 40 million deaths every year, largely due to delayed detection. In fact, 78% of chronic illnesses are only identified after severe complications arise—leading to organ damage and treatment costs that skyrocket 8 to 10 times.
The Global Economic Impact
- $4.2 trillion USD annual healthcare costs globally
- 8x higher treatment costs vs prevention
- Limited access to preventive care worldwide
- Overwhelmed healthcare systems globally
- Our AI can detect ANY chronic disease early, not just diabetes and hypertension
The Patient Problem
Late Diagnosis = Organ Damage
- • 78% of chronic disease patients are diagnosed when organ damage has already occurred.
- • 65% of cases detected only after serious complications develop.
Chronic Disease Complications
Chronic diseases account for 40M+ deaths per year
Hypertension (Example)
- 1.28 billion adults worldwide have hypertension
- 52% are unaware of their condition
- Prevention cost: $850 USD/patient vs $6,800 USD treatment
Diabetes (Example)
- 422 million adults worldwide have diabetes
- 45% are undiagnosed until complications arise
- Cost per patient with complications: $8,500 USD/year
Predict. Prevent. Transform.
AI-Powered Data Analysis Platform
Corpus AI is an advanced, AI-powered predictive analytics platform that identifies chronic disease risks up to 3 years before symptoms emerge.
Using global population data and real-time health insights, we deliver:
- Personalized risk assessments
- Actionable recommendations
- Seamless integration into existing healthcare systems
We don't just predict disease—we empower early action that saves lives and slashes costs.
Predictive Analytics
Advanced statistical modeling for early detection
Clinical Data Mining
EHR pattern recognition across all variables
Risk Scoring Engine
Real-time risk assessment
Early Prediction
Detects chronic disease risk years before clinical symptoms appear
Prevention Focus
Enables proactive interventions before organ damage occurs
Personalized Insights
Actionable insights for risk reduction
Proven Data Access & Scale
Access to Extensive Healthcare Data for Global Impact
Healthcare Data Access
We have secured access to over 5 million patient records, providing the comprehensive dataset needed to train and validate our AI models for accurate chronic disease prediction.
Ready for Scale
Our AI-powered platform is designed for immediate global deployment
Meet the team
Meet the experienced professionals driving innovation in healthcare AI
Juan Felipe Forero
Juan Felipe Forero is a finance and operations executive with extensive experience across investment banking, startups, and high-growth tech companies in Latin America. He has led strategic planning, capital raising, financial structuring, and the design of scalable operational systems in some of the region's most dynamic companies, including Rappi, Cobre, and Morado. Throughout his career, he has played a key role in helping businesses navigate growth, structure complex transactions, and secure over US $1.9 billion in capital across multiple sectors. His background in investment banking and deep operational leadership position him at the intersection of finance, technology, and scale in emerging markets.
Santiago Pelaez
Santiago Peláez, an attorney with 8 years of experience in the technology sector, has advised both buyers and sellers in the industry. During his time at the Attorney General's Office of Colombia, he contributed to the design of public policy strategies related to cybercrime and led the creation of the nation's first genetic profile database for criminal investigations. With 4 years of experience in the startup and venture capital ecosystem, he served on the leadership team at Cobre, where he supported the company's commercial growth and fundraising efforts.
Jose Amorocho
Jose Amorocho, Behavioral Data Scientist, is the technological engine and mission guardian at Corpus AI, serving as both our CTO and Chief Mission Officer. His unique expertise—shaped at the intersection of doctoral research in Artificial Intelligence and developmental psychology—gives him the ability not only to build cutting-edge predictive models that help protect the present, but also to design the habit architecture that truly empowers the future and fosters human flourishing. In his dual role, Jose ensures that every line of code and every data strategy are born from our fundamental commitment to the human person, turning bold innovation into an act of service that safeguards life today to unlock tomorrow's fullness.
Dr. Juan Esteban Correa
I am a Colombian palliative care physician and public health researcher with a strong focus on equity in serious illness care. My work spans clinical, academic, and policy domains, with particular attention to underserved populations. My research explores how social determinants shape access to care, symptom burden, and health equity. I currently serve as a research fellow at the Latin American Observatory of Palliative Care, an honorary researcher at University College London, and project manager of the RAPHAEL EU feasibility study, which aims to improve care for patients with heart failure and their caregivers. I am also pursuing a PhD at the Universitat Internacional de Catalunya in Barcelona.
Join Us in Transforming the Healthcare Industry Globally
Preventing Disease Before It Starts
Together, we can revolutionize healthcare globally by shifting from reactive treatment to proactive prevention, saving millions of lives and billions in healthcare costs worldwide.
Save Lives Globally
Early detection prevents complications in patients worldwide
Reduce Healthcare Costs
Prevention is 8x more cost-effective than treatment globally
Scale Global Impact
AI enables worldwide reach across all regions and populations
Ready to discuss investment opportunities?
Juan Felipe Forero - CEO
Santiago Pelaez - COO
Ready to Lead the Change?
Contact us today to learn more. Together, we can prevent chronic disease—before it starts.