Data, AI, and Why Venture Firms Need to Act Like Startups with Gopi Sundaramurthy

Sep 3

2 min read

Gopinath Sundaramurthy is a Partner at Ensemble VC, where the firm uses data and software to systematically identify promising founders and investment opportunities at the earliest stages. In this conversation, we talked about how AI is changing venture capital, why data may become one of the few durable advantages between firms, and what happens when investors apply the same operating discipline they expect from startups to themselves.

The episode is now available on Apple Podcasts, Spotify, Amazon, and YouTube Music.

Time Stamps from Data, AI, and Why Venture Firms Need to Act Like Startups with Gopi Sundaramurthy

00:52 — Why VC firms are falling behind on AI
04:31 — Building repeatable venture processes
07:16 — Where sustainable VC advantage comes from
08:16 — Where data ends and human judgment begins
14:29 — Finding founder signal beyond résumé bullet points
18:57 — Venture capital’s increasing concentration
21:10 — Portfolio construction and following talent
24:33 — How to break into venture capital
27:05 — Why there are no truly revolutionary startup ideas

Takeaways from Data, AI, and Why Venture Firms Need to Act Like Startups with Gopi Sundaramurthy

AI should change venture workflows, not just automate old ones. Gopi argues that the real opportunity is redesigning how firms source, evaluate, communicate, and make decisions—not simply using ChatGPT or Claude to perform existing tasks faster.
Repeatable processes turn luck into an advantage. With more startups than any investor can personally meet, firms need systems that consistently surface promising founders. As Gopi puts it, “luck is deliberate.”
As AI models become commoditized, proprietary data becomes the moat. If every firm has access to similar models and agents, differentiation comes from the data a firm has accumulated and its ability to organize and learn from it.
Data should improve human judgment, not replace relationships. Ensemble uses its systems to identify compelling founders before the first meeting, freeing partners to focus on motivation, fit, trust, and whether they genuinely want to work together.
Founder signal is much richer than prestigious employers or résumé lines. What matters is what someone actually worked on, when they were there, who they worked with, and how those experiences connect to what they are building now.
Great startup ideas are usually evolutionary. Gopi believes much of what founders build grows out of the technologies, customers, and problems they encountered over the prior three to five years.
Ensemble follows talent rather than forcing companies into a predefined thesis. Tracking where strong people are moving—and why—has led the firm from B2B SaaS and fintech toward areas such as deep tech and biotech.
Portfolio support should increasingly become software. Rather than relying on large service teams, Gopi wants founders to access hiring help, introductions, investor matching, and market intelligence through products available on demand.
The best way to break into venture is to become useful. There is no single career path; expertise, technical ability, relationships, curiosity, and consistently helping founders can all create an entry point into the industry.

The content here is for informational purposes only and should not be construed as investment, legal or tax advice. The opinions expressed by guests are their own and do not reflect the views of Seaplane Ventures. Our host, guests and clients may hold investments discussed in this podcast. Please invest responsibly.