Causaly is co-founded by automation expert Artur Saudabayev and computer scientist, and language enthusiast Yiannis Kiachopoulos. Our founders believed that by applying machine learning to the world’s scientific literature, they could radically transform the rate of biomedical discovery and progress.
Fast forward 3 years, Causaly’s AI reads the entire volume of biomedical literature ever published in seconds. Our platform allows anyone to run deep searches and find the answers to complex research questions that would have previously taken weeks, or even months to find with traditional keyword search. We give our users the key hidden evidence they need to make new hypotheses and discoveries.
Our mission is to democratize access to the world’s scientific literature, helping biomedical leaders to drive change, and accelerate life science discovery. Best of all, anyone can use Causaly. No semantic search knowledge required.“Imagine you had a friend who had read every biomedical paper ever written - what would you ask them?”
We work with pharmaceutical leaders, consumer goods manufacturers, bench scientists, life science investors, regulators, clinical librarians, market access consultants, academic researchers and more.
Yiannis is a computer scientist and language enthusiast, and has consulted with the world’s largest companies for more than 10 years. Yiannis holds a Bachelor and Master in Computer Science, an MBA from Hong Kong University of Science and Technology and took part in Singularity University’s Future Studies program.
Artur is a computer scientist and intelligent systems expert, with a background in machine learning and bioinformatics. For 7 years Artur was working in academia on applications of machine learning for vision and language problems in Robotics. Soon after attending Singularity University Future Studies and getting his Master degree in the University of Edinburgh, Artur taught his last course and started building Causaly with Yiannis.