Building a world of personalized selling
ODAIA is a pioneer in combining process mining, customer journey mapping and AI to deliver sales and marketing insights and process automation tools to enterprise companies globally. ODAIA is headquartered in Toronto, Canada with offices in Switzerland.

Founded out of the University of Toronto, ODAIA is led by an experienced group of serial entrepreneurs, data scientists and AI engineers and is trusted by leading technology organizations.

Leadership Team
Philip Poulidis
Chief Executive Officer &
Serial entrepreneur and Silicon Valley technology executive with over 25 years of experience as a startup founder, public company executive and board member in semiconductor, IoT, SaaS and digital health. He founded Morega (exit to AT&T) and was an executive at Marvell and BlackBerry. 
Helen Kontozopoulos
Chief Evangelist &
Over 8 years of customer analytics experience. Adjunct Professor, Department of Computer Science, University of Toronto. Helen Co-founded the Department of Computer Science Innovation Lab - UofT Startup incubator.
Zak Baharie
Chief Technology Officer
Greater than 20 years in the IT industry with experience in leading technical teams to deliver complex customer solutions for Morega (exit to AT&T), Ceridian and Capital One.
Orchid Jahanshahi

VP Commercial, Life Sciences

Over 25 years of experience in Marketing Management, Global Brand Strategy and Sales Management at seven Fortune 500 companies in the biopharmaceutical industry, including Novartis, Merck, Janssen, Sanofi, Bayer, Biogen

Mark Zou
Chief Product Officer
Experienced Software Engineering and Product professional. With a Master's degree in Engineering Product Design, Mark specializes in new product development. Mark has worked for Morega (exit to AT&T), RBC and Tribalscale.
Mehdi Mohyneen
Lead Machine Learning Engineer
Machine learning professional with extensive experience in the software industry for over 15 years. Academic background in Math, Physics, and Computer Science.
Periklis Andritsos
Periklis is an Assistant Professor, Faculty of Information at the University of Toronto. He is a recognized leader in Data Analytics and Structure Discovery with over 15 years experience both in academia and industry. He has a MSc and PhD in Computer Science from the University of Toronto.
Gaël Bernard
Gaël is a postdoctoral researcher at the University of Lausanne, Switzerland. He is a recognized expert in applying modern machine learning and process mining techniques to improve our understanding of customer journeys.

1 Yonge Street,

Suite 1801

Toronto, Ontario

M5E 1W7



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