Our Mission

Our mission is to empower businesses by offering state-of-the-art AI products with accurate data and insights, enabling them to thrive in today's fast-paced and competitive landscape. DataFalcon was co-founded by a seasoned entrepreneur and an ex-Google AI product lead, joining forces to drive innovation and excellence in the AI space.

Our Founders

Sayaka Inoue

Co-founder and CEO

Sayaka is a visionary entrepreneur with a strong background in energy and technology. As the CEO and co-founder of DataFalcon since 2021, she drives the company's mission to foster innovation and excellence in the AI space.
Co-founded two electric vehicle charging startups between 2014 and 2021. Since 2010, she has also served as the CEO of Eneleap Consulting in Silicon Valley, providing management consulting services to global companies in the field of energy, automotive, and machine learning.
During her tenure at General Electric (GE) from 2006, Sayaka held key roles in marketing and business development across multiple international locations, including Tokyo, New York, Austria, and the United Kingdom.
Sayaka is recognized for her insightful contributions to the field, having authored a series of columns titled "Cleantech Business Strategies" for Nikkei Business Online and being featured in notable publications like AERA magazine. She graduated from the University of Tokyo, Faculty of Engineering.
As a sought-after speaker, Sayaka delivers lectures at universities and conferences in Japan and the United States. Her entrepreneurial drive, industry expertise, and commitment to sustainability continue to shape the future of business research.

Riku Inoue

Co-founder

He was a lead product manager at Google headquarters for more than 10 years, where he led the development of strategically important products in the AI and mobile fields.
Led the development of Google Cloud AI Platform, an enterprise-class product that enables enterprises to quickly and cost-effectively develop, operate and manage AI applications in a production environment.
Led the development of a large-scale AI infrastructure for generating Google Maps data from satellite, Street View, and Lidar. Commercialized state-of-the-art AI technologies as a large-scale application in collaboration with the Google Brain team.
Other major products he led include Google Maps for iPhone / Android, Google Search for mobile browsers, Japanese speech recognition engine for voice search.
Many presentations/seminars on ML best practices for enterprise customers. Google Cloud Next 2017 conference (Video) (~1000 audience), Google Cloud Next Tokyo `16 (~1000 audience), seminars for Google Cloud customers.
Master of Computer Science with AI specialization, Stanford University. Selected as a Siebel Scholar which is awarded to outstanding students in the CS department.
Bachelor of Engineering, The University of Tokyo.