Corey Patton

Corey Patton is the Co-founder and CEO of Pramana, Inc., a company he established in October 2018 and is currently leading in the Raleigh-Durham, North Carolina area.1 Pramana specializes in artificial intelligence software that transforms data into valuable content and insights, with a focus on natural language search and autogenerated narratives.1

Professional Background

Before founding Pramana, Corey had a diverse career in technology and media:

Intel Corporation:: From October 2015 to October 2018, he served as the Director of Sports Development for the Saffron AI Group at Intel.1 In this role, he promoted Saffron Technology and Intel AI across professional sports, demonstrating the value of associative memory technology for data analysis and athletic performance enhancement.

Saffron Technology:: Prior to Intel, Corey was the Director of Marketing at Saffron Technology from February 2014 to October 2015.1 He was responsible for all aspects of messaging, branding, and product development.

SportHQ:: Between October 2012 and February 2014, Corey worked as the Director of Marketing for SportHQ, a professional and young athlete training facility.1

CNN/Sports Illustrated & CNN Headline Sports:: Earlier in his career, from 2000 to 2002, Corey held the position of Highlight Supervisor, Editor, and Segment Anchor at CNN.1 He was instrumental in creating a distinctive highlight style for CNNSI and managed a team of editors to produce captivating content.

Education

Corey Patton holds a B.A. in Electronic Media from the UNC School of Media and Journalism at the University of North Carolina at Chapel Hill, which he attended from 1995 to 1999.1

Current Role at Pramana

At Pramana, Corey leads the development of AI-powered solutions that enable organizations to interact with their data more effectively. The company's flagship product, SHIFT, allows users to query their data using natural language and receive instant answers.1 Additionally, SHIFT can automatically generate accurate, up-to-date narratives about events occurring within the data, even identifying insights that users might not have thought to look for.