Healthcare has never moved this fast.

Pharma giants are no longer just buying software. They are writing $50 million checks for access to a single foundational model. Systems of record are being replaced, and the shift is unfolding fastest in a place most people did not expect: healthcare.

Vignesh Kumar, Partner at Sierra Ventures, has spent 13 years at the center of this enterprise shift. He has sourced and invested early in companies across Enterprise AI, including two unicorns, Phenom and Reify Health, with Reify reaching around a $4B valuation and Phenom crossing $1B.

Over 40 years, Sierra has backed 300+ startups, resulting in 11 IPOs, 7 unicorns, and 104 acquisitions, and manages over $2.4B in assets. Today, the firm is a focused early-stage enterprise AI investor, writing first institutional checks while staying disciplined on fund size, growing from $150M to $270M.

This episode is on how the next generation of companies in Enterprise AI will be found, funded and scaled. If you are building in AI or exploring healthcare, this will help you see the shift earlier and act on it with more clarity.

0:00 – Trailer
1:04 – Where Sierra Ventures invests?
3:33 – How to keep fund size aligned with stage
5:19 – Sierra's historical DPI
5:52 – Deals that drove big returns
8:25 – Sierra's exits
9:53 – The formula for high returns
11:47 – The perfect US–India founder example
13:07 – What outcomes VCs expects from startups
14:34 – How the partner consensus works
15:56 – Why Sierra invested in Smallest AI
17:28 – From first meeting to term sheet
17:57 – Healthcare has never moved this fast
23:20 – Where Vignesh invests
24:39 – Only one foundational model bet
25:28 – Is SaaS dead?
27:44 – How PMF changes in the AI era
30:16 – How a VC calculates market risk
31:19 – What kept Vignesh at Sierra for 13 years
33:17 – How to bet on futuristic startups
34:58 – The anti-portfolio
35:50 – First-time vs second-time founders
36:43 – Why great storytellers attract best talent

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This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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