VC Shifting Toward PE-style Diligence
Alex Johnson, co-founder & CEO of Velvet, on vertical AI for venture capital
The important shift is that venture edge is moving from getting into rounds first to judging companies better and helping them win after the check clears. As syndicates, secondary markets, and data tools make private deals easier to find, venture firms have to act more like private equity firms in one specific way, they need a repeatable diligence machine for picking winners, mapping markets, and proving they can open customers, investors, and hiring doors after investment.
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In practice this means a seed fund is spending less time on pure sourcing advantage and more time on fast judgment. The workflow becomes, ingest decks, emails, call notes, CRM contacts, and market data, then ask whether this startup fits the thesis, beats close competitors, and matches the fund's network for introductions.
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The closest historical comp is what AngelList did for syndicates and what secondaries platforms did for liquidity. Both reduced access friction. Once more investors can see and join deals, the scarce asset shifts from access to decision quality and post investment distribution, introductions, and portfolio support.
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This also helps explain why institutional tooling is converging around first party workflow data. Aumni was valuable because it captured legal documents across venture firms, and newer products aim to capture the full deck to decision process, not just records. Whoever owns that workflow can help select deals, support companies, and eventually route liquidity.
Over the next few years, venture firms that win will look less like relationship brokers and more like small, software assisted underwriting shops with strong founder support networks. The category leader will be the system that sits inside daily investment work, learns how each firm makes decisions, and turns that into faster picks, better introductions, and more reliable exits.