Investor Type | Firm |
Industries | IT (& TMT) • FinTech (& Financials services) • IoT (& Wearables) • A.I. (& Big Data) • Blockchain (& Cryptos) |
Investing | United States |
Grand Science Ventures is a venture capital firm based in San Francisco, California. Founded in 2018, the firm operates with a focus on investing in companies in the fields of Information Technology (IT & TMT), Financial Technology (FinTech & Financial Services), Internet of Things (IoT & Wearables), Artificial Intelligence (AI & Big Data), Blockchain (& Cryptos), and other emerging technologies. With a commitment to the growth science approach, Grand Science Ventures emphasizes data-driven strategies to identify and support high-growth potential startups, primarily in the Seed to Series A stages. The firm has developed proprietary AI, known as Quannix®, to analyze vast amounts of market data, create comprehensive market overviews, and make more informed decisions about strategy, growth, innovation, and investment. Quannix® plays an integral role in bridging the information gap in the private sector, considering that a considerable majority of companies are privately held and there can be a lack of clear visibility into these markets. Collaborating with over 60 multinational companies in more than 1,000 market segments, Grand Science Ventures has culminated extensive research across diverse industries, including AI and Machine Learning, Agriculture, Chemistry, Material Science, Consumer Products, Energy, ESG Investing, Financial Services, Healthcare, IT and Communications, Real Estate, Transportation, and more. Such collaborations have contributed to the evolution of Quannix® and facilitated the identification of disruptive startups that Grand Science Ventures actively invests in. By leveraging advanced analytics and predictive models, the firm aims to achieve a results-oriented worldview, transforming the high-risk venture capital landscape with quantitatively robust strategies that predict the success or failure of new businesses with greater reliability.