About 475 million people, or 10 percent of the world's population, suffer from rare diseases, and over 80% of them are genetic in nature.
The average time to diagnosis is seven years - the so-called diagnostic odyssey. This places a considerable burden on patients and their families.
We aim to pave a way forward by improving the accuracy, speed and accessibility of genetic testing, providing patients with the right information at the right time and empowering them to make informed health decisions.
Recent developments in genetic sequencing technologies have revolutionized genomics, and developments expected in the coming years will make it an essential part of medicine.
As genetic testing becomes more widespread in healthcare, the interpretation of the vast information it provides has become the biggest bottleneck in extending it to more patients and healthcare systems.
That’s where our journey started.
Our team reflects the interdisciplinary collaboration required to solve this grand challenge - from software and data science to genetics and healthcare.
Co-Founder & CTO
Machine Learning Scientist
Co-Founder & CEO
Scientific Project Manager
Product Marketing Manager
Human Genomics Scientist
VP Business Development & Sales
Regulatory Affairs Manager
Senior Human Genomics Scientist
Inside Sales Representative
Clinical Customer Success Manager
People and Culture Manager
VP of Engineering
Scientific Product Manager
Frontend Software Engineer
Regulatory Affairs Specialist
Software Engineer - Backend Tech Lead
Backend Software Engineer
Elgar Fleisch, PhD
PROF. OF INFORMATION MANAGEMENT, ETH ZURICH & PROF. OF TECHNOLOGY MANAGEMENT, UNIVERSITY OF ST. GALLEN
Martin Kircher, PhD
GROUP LEADER IN COMPUTATIONAL GENOME BIOLOGY, BERLIN INSTITUTE OF HEALTH, CHARITÉ BERLIN
Lea Starita, PhD
ASSISTANT PROF. AT DEPARTMENT OF GENOME SCIENCES, UNIVERSITY OF WASHINGTON
Han Brunner, MD, PhD
PROF. OF HUMAN GENETICS, RADBOUD MEDICAL CENTER & HEAD OF CLINICAL GENETICS, MAASTRICHT UNIVERSITY MEDICAL CENTER
Read about our latest news, events and success stories.
Download our white paper to find out how AION’s white-box approach can help you to improve the quality and throughput of your variant interpretation.