Capital as a Service Democratizing Venture Through Data
summary
Claims that data first processes cut bias by opening applications globally and making decisions from product traction only Result is 42% female founders and decision time under a week after a private beta that funded about 70 companies in nine months with checks up to $500k and roughly 85% non US founders The product automates an application form, classifies businesses with a proprietary ontology, issues standardized data requests, compares cohort LTV and CAC benchmarks, and ingests verified connectors like Stripe for quantitative diligence
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chapters (12)
- 0:00Introduction and welcome
- 0:45Status quo in venture funding
- 3:40Democratizing access to capital
- 5:27How Capital as a Service works
- 7:35Data analysis in decision-making
- 10:24Q&A session begins
- 11:07Addressing bias in algorithms
- 12:10Investment stages and regions
- 13:55Portfolio performance and speed
- 15:01Global distribution of investments
- 16:32Data verification and due diligence
- 17:58Career advice for graduates
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