Kevin W. Tung

Kevin W. Tung is a Senior Partner at Interplay Ventures, a New York-based early-stage venture firm where he. See portfolio, sector focus and contact routes.

About Kevin W. Tung

Kevin W. Tung is a Senior Partner at Interplay Ventures, a New York-based early-stage venture firm where he has invested in, co-founded, and incubated companies for eight years. His investment thesis targets seed and early-stage technology companies, with sector focus on mobile, social gaming, financial technology, artificial intelligence, climate tech, enterprise software, and developer tools. Tung typically invests between $100,000 and $5 million, with a sweet spot around $1.5 million, and operates as both an angel investor and VC partner. Notable portfolio companies include Image Space Media (acquired by Vibrant Media), A Bit Lucky Games (acquired by Zynga), Keaton Row, HealthCare.com, and JackPocket. He is an active mentor in Columbia University’s Entrepreneurship program and co-created the mobile iOS game “Donuts in Space,” reflecting his hands-on engagement with startup culture. While no public writing or distinctive point of view is documented in available sources, his career spans venture capital, private equity in art, and startup operations, giving him a multidisciplinary perspective.

Kevin W. Tung at a glance

Role
Senior Partner
Location
New York, New York, United States
Investor type
Individual/Angel
Focus areas
General
Portfolio companies listed
4
Investments recorded
4

Frequently asked about Kevin W. Tung

What does Kevin W. Tung invest in?
Kevin W. Tung (New York, New York, United States) — sector focus: General.
How do I contact Kevin W. Tung?
Kevin W. Tung's published profile links (website, LinkedIn or X where available) are listed on the StartupFundraising.com investor profile.
Where is Kevin W. Tung based?
Kevin W. Tung is based in New York, New York, United States.

StartupFundraising tracks this investor record from SEC filings and announced rounds, updating focus, location and portfolio history as new data lands. Use it to gauge fit before an outreach, then widen the search to investors in New York.

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