Our technology is years in the making, growing out of the long history of social media consulting from our sister firm, Converseon. For over a decade, Converseon has helped leading brands harness the value of social intelligence to meet business objectives. Named a leader in the Forrester Wave of Listening Platforms, Q1 2014 (including "best data quality") the firm has garnered an enviable reputation for innovation, data quality and actionable intelligence among many of the world's leading brand and organizations.
Revealed Context was spun off from Converseon in 2012 so that this highly accurate social insight technology could be used for purposes far beyond those of Converseon’s clients. Going beyond simple text analytics, our team recognized that Converseon was sitting on a wealth of machine learning training data and designed our solution to take advantage of that unique asset.
Our combination of text analytics and machine learning, using great volumes of high-quality training data led to the Innovation of the Year award from DataWeek, and we aren't stopping there.
Rob is founder and CEO of Converseon. Converseon helps leading brands harness the power of social to meet business objectives through its award winning services and proprietary technologies. Its core technology, Conversation Miner, was named as category leader in the Forrester Wave Q3 2010 for Listening Platforms and excels at helping brands monitor, map and understand social conversations for multiple use cases. Rob was recently named a Social Media Allstar by the Social Media Society and to the 2011 iMedia “15 People to Know in Digital.” He was also cited as a 2010 “Great Minds” Honoree by the Advertising Research Foundation. Prior to Converseon, Rob was head of the Innovations Group at a division of Young & Rubicam and a member of the WPP.com board. He has been deeply immersed in digital marketing since the early days of 1995.
Prior to joining Converseon, Mike Moran worked for IBM for 30 years, rising to the level of Distinguished Engineer. Mike has more than 20 years’ experience in search technology, led the IBM product team that developed the first commercial linguistic search engine in 1989, and has been granted six patents in search and retrieval technology. He led the integration of ibm.com’s site search technologies and served as product manager for IBM’s search and text analytics products.
Philip’s research combines knowledge-based and statistical methods of natural language processing to answer practical problems. His work is supported by the NSF, DARPA, IARPA, ARL, and a Google Research Award. Philip is an internationally recognized expert in natural language processing and a leader in the combination of knowledge-based and statistical methods. He is a Professor of Linguistics at the University of Maryland, with a joint appointment at the Institute for Advanced Computer Studies.
Jason is a noted expert in Natural Language Processing. In 1999, he co-founded the OpenNLP project and created the OpenNLP Toolkit, which was recently incorporated into the Apache Software Foundation’s portfolio. He specializes in the computational modeling of syntax, probabilistic approaches to discourse structure and machine learning approaches to natural language tasks. Jason is an Associate Professor of Computational Linguistics at the University of Texas at Austin.
Prior to joining the team, Anthony worked with high frenquency/high volumne systems in financial industry. With over 10 years of demonstrated success in software engineering roles, he brings both technical and leadership expertise to the table and a hands-on approach to complex projects.