Aevon Corporation
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Overview
2 - 9
Employees
2026
Year Founded
ABOUT AEVON CORPORATION
AI for predictive and longevity healthcare
Aevon Corporation is a research and development organization powered by AI that specializes in predictive healthcare and longevity science. The company creates sophisticated systems that combine machine learning with health and biological data to simulate disease progression, aging trends, and individual health risks. Aevon seeks to establish a foundation for preventive and personalized healthcare by facilitating early detection, data-driven interventions, and scalable health intelligence systems. Its efforts are positioned at the convergence of artificial intelligence, bioinformatics, and computational health. Currently engaged in active research and development, Aevon is looking to collaborate with researchers, developers, and healthcare innovators to promote technologies focused on longevity and next-generation healthcare solutions.
LANGUAGES SPOKEN
English
HIGHLIGHTS
2 - 9
Employees
2026
Year Founded
Services
Focus
Industries
Clients
Services Provided
10% IT Staff Augmentation
30% AI Strategy & Roadmap Consulting
60% Machine Learning Model Development
About the Team
OUR STORY
Founded with the vision that artificial intelligence and longevity science should evolve together, Aevon Corporation embarked on a mission to innovate proactive healthcare. The company launched a Longevity Science platform, synthesizing evidence on key lifespan predictors such as cardiovascular risk and muscle mass. It developed Body Flux, a comprehensive 4D anatomical database mapping numerous organ systems, bones, and muscles, further enriching biomedical knowledge. Aevon created an Open Research Portal to encourage public collaboration in AI-driven longevity studies. Expanding its platform, it introduced the Human Repair Index and deepened research partnerships, leading to tools like the ÆVON LifeScore, which estimates biological age through lifestyle data. The launch of the Risk Insights Engine empowered early detection of cardiovascular and metabolic risks, while
