Official Assets.

Dave Saben is a two-time SaaS CEO, AI pioneer, and executive advisor who helps organizations navigate digital transformation and operational scaling. He is the author of 'Eyes on Data, Ears on People' and has built predictive AI systems serving Fortune 500 companies and leading universities for fifteen years.

Dave Saben is a transformational CEO and strategic advisor specializing in AI integration, go-to-market architecture, and operational scaling. Over his 15-year career, he has held four C-suite seats and led multiple private equity turnarounds, most recently driving 240% revenue growth as CEO of Via TRM. He was on the founding team of IP Street, building NLP algorithms a decade before AI became a trend, and later scaled assess.ai globally. He is the author of three books, including the upcoming 'Eyes on Data, Ears on People.'

Dave Saben is an executive advisor, two-time SaaS CEO, and AI pioneer who helps CEOs, boards, and private equity firms architect growth and implement AI safely and profitably. For fifteen years, he has built systems and scaled organizations at the intersection of data science, artificial intelligence, and human leadership. His career began in enterprise sales before joining the founding team of IP Street in 2011, where he helped build proprietary Natural Language Processing algorithms to analyze the U.S. patent database. He later partnered with the inventor of Computerized Adaptive Testing to build assess.ai, an AI-driven assessment platform that scaled to deliver exams to half a million students across nine nations while driving 554% YoY growth. Most recently, as CEO of Via TRM, he led the turnaround of a vertical SaaS company in higher education, expanding it from a single product to a comprehensive platform and driving 240%+ revenue growth. He has led massive digital transformations, such as reshaping the growth structure for New Horizons, the world's most extensive authorized IT training partner. Dave is the author of 'White Collar Combat,' 'CLOSER,' and 'Eyes on Data, Ears on People: Leadership in the Age of AI.' He advises organizations on how to use measurement to see further and empathy to see deeper.