TRAC.vc is an AI-driven venture capital firm based in Sonoma, California, focusing on Seed to Series B investments across various industries. It utilizes machine learning algorithms for data-driven investment decisions.
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TRAC.vc is an innovative investment organization founded in 2020 that leverages machine learning and deep learning algorithms to guide its investment decisions. Operating without a traditional human investment committee, TRAC.vc relies solely on data to evaluate potential investments. The firm is based in Sonoma, California, and focuses on a wide range of industries, investing in companies at the Seed, Series A, and Series B stages. With over $80 million in assets under management across two funds, TRAC.vc has deployed more than $60 million into approximately 110 companies, achieving a loss ratio of less than 8.5%, which is below the industry average. The organization prides itself on its data-driven approach, which has resulted in a graduation rate of over 40% for companies that have raised follow-on rounds.
TRAC.vc invests primarily in companies at the Seed, Series A, and Series B stages. The organization is industry agnostic, having invested over $60 million across more than 110 companies. With a reported loss ratio of less than 8.5%, TRAC.vc maintains a strong performance compared to industry averages, and boasts a graduation rate of over 40% for companies that have successfully raised follow-on rounds.
TRAC.vc provides a data-driven investment approach that minimizes human bias, allowing portfolio companies to benefit from insights derived from advanced algorithms. This unique methodology aims to enhance decision-making and improve the chances of success for startups.
TRAC.vc invests in companies at the Seed, Series A, and Series B stages, focusing on sectors such as fintech, gaming, and AI. The firm looks for startups that demonstrate significant traction in their respective markets.
Founders can pitch TRAC.vc through their website at trac.vc. It is recommended to include detailed information about traction metrics and market potential in the pitch deck.
TRAC.vc operates without a traditional human investment committee, relying solely on machine learning and deep learning algorithms for investment decisions. This data-driven approach allows for a more objective evaluation of startups.
The firm primarily invests in companies based in the United States, maintaining an industry-agnostic approach across various sectors.
While specific check sizes are not disclosed, TRAC.vc has deployed over $60 million across its portfolio, indicating a significant investment capacity for promising startups.
TRAC.vc adds value to its portfolio companies by utilizing predictive AI to identify startups with traction, ensuring data-driven investment decisions that enhance the likelihood of success.
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