The OpenAI venture fund known as Zero Shot has completed its first close and set a target of $100 million in total capital. A group of former OpenAI employees launched this fund to back early-stage AI startups with the kind of insider knowledge that traditional venture firms rarely possess. The move signals a broader shift in how capital flows into artificial intelligence companies.
Zero Shot has already deployed funds into several promising startups. That speed of deployment suggests the founding team identified strong opportunities well before the formal announcement. For the broader AI and fintech startup ecosystem, this OpenAI venture fund brings firsthand understanding of what frontier models can and cannot do. That perspective gives the partners an edge when evaluating which companies deserve backing.
Three OpenAI Veterans Lead the Founding Team
Three of the five founding partners behind this OpenAI venture fund come directly from the company. Evan Morikawa previously led applied engineering during the launches of DALL-E and ChatGPT through Codex. He now works at robotics startup Generalist. Andrew Mayne served as the original prompt engineer at OpenAI, hosts The OpenAI Podcast, and founded Interdimensional, a consultancy focused on AI deployment.
Shawn Jain rounds out the trio as an engineer and former researcher at OpenAI. He subsequently transitioned into venture capital and co-founded generative AI startup Synthefy. Two additional partners strengthen the team further. Kelly Kovacs previously co-founded 01A, a growth-stage venture firm established by former Twitter CEO Dick Costello and Adam Bain. Brett Rounsaville, who held roles at both Twitter and Disney, now serves as CEO at Interdimensional. This combination of technical depth and operational investing experience sets the OpenAI venture fund apart from generalist competitors.
How the OpenAI Venture Fund Came Together
The founding partners share a friendship that dates back to their overlapping time at OpenAI. Before ChatGPT launched, they worked closely together during a critical growth period for the company. After leaving, they found themselves fielding constant requests from other venture capitalists seeking insight into emerging AI technologies.
Founders building AI startups also sought their guidance on technical direction and product strategy. That pattern of informal advising eventually led Mayne to establish Interdimensional as a formal consultancy. However, the group soon recognized a deeper opportunity in the market. They saw significant gaps between the types of AI startups receiving funding and the problems that businesses truly needed solved. This insight became the catalyst for creating their own OpenAI venture fund with a thesis rooted in operator expertise rather than hype-chasing.
First Close at $20 Million With Eyes on $100 Million
After conversations with institutional investors and family offices, the team closed an initial $20 million. That first close gave the OpenAI venture fund enough runway to begin writing checks while continuing to raise toward the full target. The fundraising momentum reflects growing appetite among limited partners for funds led by operators with direct AI experience.
First-time fund managers raised an average of $67 million in 2025, according to PitchBook data. The $100 million target for this OpenAI venture fund sits above that benchmark. It reflects the premium that institutional investors now place on domain-specific AI expertise over generalist market analysis. The fund’s size also positions it well for seed and Series A investments without requiring the massive exit multiples that billion-dollar mega-funds demand.
Portfolio Companies Backed So Far
The first investment from the OpenAI venture fund went to Worktrace AI, co-founded by former OpenAI product manager Angela Jiang. Worktrace AI is building an AI-powered management software platform designed to help businesses discover which tasks should be automated before automating them. The startup raised a $10 million seed round from notable backers, including former OpenAI CTO Mira Murati and OpenAI’s own fund.
Zero Shot also invested in Foundry Robotics, a company developing next-generation, AI-enhanced factory robotics. Foundry recently completed a $13.5 million seed round led by Khosla Ventures. A third portfolio company remains in stealth mode at this stage. The mix of enterprise software and industrial robotics reflects a thesis centered on applied AI with tangible commercial use cases. This OpenAI venture fund clearly favors startups solving real operational problems over those chasing consumer trends.
What This OpenAI Venture Fund Refuses to Back
Perhaps more revealing than what Zero Shot funds is what the partners decline to support. Mayne has expressed strong skepticism about most iterations of vibe coding platforms. He predicts that frontier model makers will soon ship native coding capabilities that render standalone vibe coding subscriptions redundant. That perspective carries particular weight because it comes from someone who watched model capabilities evolve from the inside.
Morikawa, drawing on his robotics expertise, has flagged concerns about companies building ergo-centric video data products for robot training. He believes the research gaps in that space remain too wide for current approaches to deliver commercial value. Both founders also expressed caution toward digital twin startups. Their own due diligence, which involved building a reasoning model to test several companies, led them to favor simpler and more direct approaches to the same problems.
These investment exclusions from the OpenAI venture fund matter for the broader venture capital landscape. When former insiders pass on entire categories, that signal ripples through the market and influences how other investors allocate capital.
Distinguished Advisory Board Extends the Network
Beyond the founding partners, the OpenAI venture fund has assembled a notable advisory board. Advisors receive a share of the fund’s carried interest, aligning their incentives with long-term performance. The roster includes Diane Yoon, who served as head of people at OpenAI, and Steve Dowling, the former head of communications at both OpenAI and Apple.
Luke Miller, a former product leader at OpenAI, also joined as an advisor. For portfolio companies, access to this caliber of advisors can prove just as valuable as the capital itself. The advisory network extends the fund’s reach into talent recruitment, communications strategy, and product development. It also reinforces the OpenAI venture fund’s positioning as a platform that offers far more than money.
What This Means for the AI Investment Ecosystem
Zero Shot represents a structural shift in how AI venture capital operates. Traditional VC firms rely on pattern matching and market analysis to make investment decisions. Operator-led funds like this OpenAI venture fund bring something fundamentally different to the table. They carry insider knowledge of model capabilities, technical roadmaps, and architectural limitations that outsiders cannot access through published research alone.
The emergence of Zero Shot also accelerates a trend sometimes called the “OpenAI Mafia” effect. Former employees of frontier AI labs are dispersing across the ecosystem as founders, advisors, and now fund managers. That distribution of expertise strengthens the overall AI and fintech industry by spreading specialized knowledge beyond a single organization.
AI startups captured 34 percent of all venture capital in 2024, despite making up only 18 percent of funded companies. That concentration of capital creates both opportunity and risk. Funds with genuine technical insight, like this OpenAI venture fund, are better positioned to separate durable businesses from hype-driven pitches. As open banking and fintech innovation continue reshaping B2B payments and enterprise software, the startups that survive will be those solving real problems rather than riding trends.
Zero Shot has not disclosed a timeline for reaching its $100 million target. Given the strong first close and early portfolio activity, the fund appears well on track. The broader AI investment community will be watching closely to see whether this OpenAI venture fund delivers the outsized returns its thesis promises.