GotoAI’s purpose rests on two keywords: “business value” and “positive impact.” In fact, when I founded the company, the one I held firmly in mind was “positive impact.”
AI is a remarkable technology. Yet technology in itself does not determine good or bad; what is decisive is the “positiveness” with which we choose to use it.
More generally, the social and economic foundations and the many systems that underpin our daily lives, democracy itself, platforms such as blockchain, and other ecosystems alike, all rest on an implicit premise: that a sound majority (a “positiveness majority”) holds.
Here, however, lies a problem. Even if a sound majority is maintained over the long term, should some pivot factor temporarily reverse the balance of power, unforeseen consequences may follow.
AI is precisely a technology that can become such a pivot factor. To uphold a positive society, and to advance it further, it is decisive that we use AI to create and spread positive impact.
Together with all of you, GotoAI will create business value and, through it, extend positive impact across society.
GotoAI Inc., Representative Director & CEO
Congwei Dang
Profile
Congwei Dang holds a Ph.D. in Information and Communication from the Graduate School of the University of Tokyo, with over 20 years at the forefront of data science and AI, leading data science organizations at global strategy consulting firms and a multinational company before founding GotoAI Inc. in 2026.
Experience
- GotoAI Inc. — Representative Director & CEO (2026–)
- Visa (Consulting & Analytics) Japan — Head of Data Science / Senior Director
- McKinsey (QuantumBlack, AI by McKinsey) — Expert / Principal Data Scientist
- Boston Consulting Group (BCG GAMMA) — Lead Data Scientist / Project Leader
- Accenture — Data Science Manager
- NEC Soft, Ltd. — Project Leader
Education
- University of Tokyo, Graduate School — Ph.D. in Information Science and Technology
Awards
- IEEE PerCom 2012 Best Papers
Patents — 6 filings published in the U.S. and Japan
- Network rating prediction engine (published in the U.S.)
- Distributed model-building (published in the U.S.)
- and 4 others