Productizing VC networks for introductions
Alex Johnson, co-founder & CEO of Velvet, on vertical AI for venture capital
Velvet is trying to turn a VC's network from tribal knowledge into a product feature. Instead of a partner vaguely promising helpful intros after an investment, the software maps who in the firm's emails, CRM, co investment history, and portfolio overlaps could buy from, partner with, invest in, or eventually acquire a startup. That matters because venture is shifting from winning on access alone to winning on how quickly a fund can prove it can help a company grow and find liquidity.
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Inside Velvet, this starts with concrete graph building. The platform already reads data rooms, decks, emails, CRM records, call notes, cap tables, and investor updates, then uses that data to identify likely co investors. Extending that same workflow to customers and acquirers means the output of diligence becomes a ready made introduction list, not just a memo.
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This is a real wedge in venture because strategic value add is one of the few advantages that still scales. Velvet argues that as sourcing becomes more digitized, funds will compete more on company selection, customer introductions, recruiting help, and exit support. A tool that can surface 50 relevant contacts on day one makes that value add faster and more legible to founders.
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The closest historical analogue is private market infrastructure moving from manual brokerage to software assisted matching. Research on secondaries shows the market is still fragmented, broker driven, and built on emails and hand assembled relationships. Sydecar similarly frames the missing ingredient in private markets as standardization and transaction rails. Velvet is applying that same idea one layer earlier, to relationship discovery before the transaction.
The next step is that venture software stops at analysis less often and starts acting like a routing layer for private market relationships. If Velvet can reliably match startups to customers, acquirers, co investors, and secondary buyers from live firm data, the winning VC platform will look less like a note taking tool and more like a network operating system for capital and distribution.