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Plug and Play Context-Rich Knowledge Search for Enterprises


Founded: 2014
Employees: 4
Quick Pitch:


Vizp is a context-based text processing engine that allows enterprises to structure thousands of text-based documents into navigable knowledge networks. It combines context-based clustering and auto-tagging, natural language processing, machine learning, and domain specific taxonomies to create a powerful search engine for document clustering across multiple platforms (email, cloud etc.) Video below shows backend clustering of 2400+ emails.


Chief Executive Officer

Ali Mostashari

Ali Mostashari, Ph.D. serves as the CEO of Vizp. Prior to Vizp he was an Associate Professor at Stevens Institute of Technology (2008-2014). Ali was a senior strategic adviser to the Assistant Secretary General of Africa at the United Nations From 2004-2008, where he oversaw an annual program portfolio of $1.2 billion and more than 100 individual projects in 44 sub-Saharan African countries. He received his Ph.D. in Engineering Systems from MIT.

Chief Scientific Officer

Mario Storga

Mario Storga, Ph.D. is the Chief Scientific Officer of Vizp. He is concurrently serving as an Associate Professor at the University of Zagreb focusing on dynamics of complex knowledge networks. His interest also include natural language processing, modelling of teamwork ideation, and technology predictions. He received his Ph.D. in Design Knowledge Management from the University of Zagreb and did his Postdoctoral work at the KTH in Denmark.

Chief Product Officer

Ivan Gavran

Ivan Gavran is the CPO of Vizp. He has served as a Senior Software Developer for Calyx Software Development (2009-2014) and has led development teams working on multiple platforms (mobile, desktop, web). His prior experience includes stints at Google and Ericsson. He is proficient in Java, JavaScript, Android SDK, Spring Framework and Node.js. Ivan received his Master of Science in Computer Science from the University of Zagreb.


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