“Improving clinical trial outcomes using AI”

Sector: AI
Founded: 2018
First Invested: 2018
Located: Athens Greece, New York, USA
Website: https://www.intelligencia.ai





First Invested

Athens, Greece
New York, USA


Intelligencia applies predictive analytics to estimate the propability of success for a clinical trial and optimize its design before it even starts. AI complements the experience of protocol review committee members in predicting the propability that a specific protocol will succeed and finding which parameters have to be changed to minimize the risk of failure.

The team has previously advised healthcare companies designing clinical trials and is now packaging the lessons learned in an intuitive and reliable product.



Dimitrios Skaltsas

Dimitrios Skaltsas


Dimitrios has led McKinsey’s team for big data & AI applications in R&D for life sciences, and has built SaaS products focusing on clinical development. He serves as an advisor, and has also invested, in several technology companies with a focus on big data. He is an Executive in Residence for AI at INSEAD. 

MBA (INSEAD), degrees in law (UCL, LMU, University of Athens)

Vangelis Vergetis

Vangelis Vergetis


Vangelis has been a management consultant for more than 12 years – at both McKinsey and Hakluyt – advising healthcare clients on a variety of topics, including clinical development and early commercialization. He is an advisor and investor in technology companies in both the US and Europe, and he also serves on the Dean’s Advisory Council for Cornell’s faculty of Computing & Information Science (CIS).

PhD and BS in Computer Science and Electrical Engineering (Penn and Cornell).

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