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TRAC.vc

www.trac.vc

VCMatch tracks TRAC.vc as an investor focused on AI/ML, Enterprise SaaS, and Developer Tools companies and Seed and Series A rounds. Upload your deck to compare your startup against the full private matching profile.

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Investment Thesis

TRAC operates an exclusively algorithmic investment strategy: they “use Machine Learning and Deep Learning algorithms to make every single investment” and designate “Data as our investment Committee,” deliberately excluding human judgment from the investment committee. The firm applies this data-driven, automated approach across early-stage rounds (Seed / Series A / Series B) and measures success by strict performance metrics (e.g., <$8.5% loss ratio, top 5% graduation rate, top-decile DPI), signaling a philosophy of reproducible, scalable, evidence-based investing rather than traditional human-led selection.

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Investment Focus

Who should take a closer look

TRAC.vc is most relevant for founders raising Seed, Series A, and Series B rounds in AI/ML, Enterprise SaaS, Developer Tools, and Data Infrastructure.

Focus statement

TRAC focuses on Seed, Series A and Series B investments and is industry-agnostic, using ML/DL models to evaluate and make every investment decision rather than human committees.

Value Add

  • Entire investment decision process driven by ML/DL: "TRAC uses Machine Learning and Deep Learning algorithms to make every single investment."
  • No human members on the investment committee: "There are no humans on our investment committee." and "Investments made by Humans: Zero"
  • Explicitly data-governed: "Data is our investment Committee."
  • Industry-agnostic deal flow with early-stage focus: "$60M Invested: Seed/Series A/Series B" and "110 Companies: Industry Agnostic"
  • Documented outperformance metrics: "<8.5% Loss Ratio: Industry Avg >40%", "Top 5% Graduation rate: raised a Follow-on Round", "Top Decile DPI: Fund 1 (2020), Fund 2 (2022)"

Stage And Sector Fit

Investment Team

8 Partners at TRAC.vc

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