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Thu, Apr 16

|

Cambridge

Meet the VCs: Underscore VC

Meet early-stage investors from Underscore VC for a candid, small-group conversation on building companies at the intersection of AI and healthcare and how technical founders can engage with venture long before fundraising.

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Time & Location

Apr 16, 2026, 6:00 PM – 7:30 PM

Cambridge

About the event

*Applications close April 13th.


The Harvard Grid Meet the VCs Series welcomes Underscore VC , a Boston-based early stage firm focused on supporting technical founders from idea to company.


This session will be a small group dinner and discussion rather than a formal talk. The goal is open conversation. Attendees will meet investors and founders working in AI and healthcare and learn how venture investors evaluate early teams, research-driven ideas, and emerging technologies.

Underscore invests at the pre-seed and seed stage and works closely with academic founders and technical builders. The firm emphasizes long-term relationships and often meets founders well before they are raising capital. This is an opportunity to ask questions you would not normally ask in a public event and to understand how investors think about risk, timing, and early traction.


Underscore Verticals

  • Enterprise

  • Supply Chain

  • Web3 / Blockchain

  • Commerce

  • Vertical SaaS

  • AI / ML

  • Fintech

  • Insurtech

  • Healthtech


You do not need a startup or a pitch deck to attend. Curiosity and thoughtful questions are encouraged.


Participating founders

Attendees will also meet founders from Underscore's network who are currently building companies in AI and healthcare:

Ari Chadda — Transyr Bio

Building the API layer for science to improve how scientific innovations reach real-world use. Previously a Senior Data Scientist at In-Q-Tel working on autonomous physical and digital systems. A.B. in Computer Science, Dartmouth College.

Dan Freeman — terraFlow

Founder and CEO of terraFlow, which connects biomedical data to published research to surface biological insights that influence treatment outcomes in clinical trials.

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