Rule30 is an AI research lab and venture fund focused on re-engineering venture capital using technology and systematic strategies. They aim to deliver precision, repeatable performance, and scale by applying a fully algorithmic approach to identify and back outlier founders at scale. Their decision engine probabilistically ranks early-stage founders, identifying the top 10%, 3%, and 0.1%. They are creating a new category in venture: algorithmically curated outlier founders. The firm builds the decision engine and systematically deploys it in the market via an index-style strategy.
Preferred startup development maturity for initial funding deployment.
Sector-agnostic, but uses algorithms to maintain optimal sector exposure
Core thematic spaces, technologies, and target market segments of interest.
Standard financial allocation per investment round.
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