
VETA
Value elicitation technology for complex decision-making.
Date | Investors | Amount | Round |
---|---|---|---|
* | JPY200m | Seed | |
Total Funding | 000k |
VETA Inc. is a startup originating from Waseda University, established on April 30, 2025. The company was co-founded by CEO Taketo Hara, Chief Science Officer (CSO) Teppei Yamamoto, and Chief Knowledge Officer (CKO) Airo Hino. The founding team combines academic expertise with practical experience; Hara is a data scientist formerly with IBM Japan, while Yamamoto, previously a professor at MIT, and Hino are distinguished political scientists. VETA was founded to commercialize research from Waseda University's Faculty of Political Science and Economics, receiving approximately ¥200 million in seed funding from Waseda University Ventures (WUV).
The company's core offering is its proprietary "Value Elicitation" method, an advanced survey and analysis technology developed from conjoint analysis. This patent-pending algorithm is designed to uncover and quantify the underlying values and preferences that influence individual choices in complex situations. By providing quantitative feedback, the technology supports decision-making in various fields. The business model involves providing this technology as a service and developing applications for specific markets. Initial applications are focused on the public sector, including building "boat match" voter advice tools and supporting Evidence-Based Policymaking (EBPM) for government bodies. For instance, VETA collaborated with Nikkei Inc. on a boat match tool for the July 2025 House of Councillors election. Future plans include expansion into commercial sectors such as real estate and human resources, where matching services are critical.
Keywords: value elicitation, conjoint analysis, decision support, social science, data analysis, survey technology, political technology, EBPM, voter advice application, matching platform, choice modeling, quantitative analysis, preference measurement, Waseda University, public policy, market research, human resources, real estate technology, survey analytics, decision science