A new venture capital fund named Zero Shot, established by former OpenAI personnel, has made its first close on a target of $100 million and has begun actively investing in early-stage artificial intelligence startups.
Zero Shot, a new AI investment fund, signals a trend of deeply technical operators from premier AI labs transitioning into capital allocation. Its partners, with direct experience inside one of the world's most influential AI companies, leverage their network and insights to identify and support nascent AI-native companies. This shift from building to funding underscores the AI sector's maturation, making specialized, operator-led funds crucial for navigating its complex, evolving frontier.
What We Know So Far
- A new venture capital firm, Zero Shot, has been established with deep ties to the artificial intelligence research lab OpenAI.
- The fund has a stated goal of raising $100 million for its first fund, according to multiple reports.
- Zero Shot has successfully completed its first close, securing an initial $20 million in capital, as reported by TechCrunch and news.aibase.com.
- The firm's investment thesis is centered on backing early-stage startups that are building foundational or application-level AI technologies.
- According to a report from TechCrunch, Zero Shot has already deployed capital, investing in at least two companies: Worktrace AI and Foundry Robotics.
Who Founded the New Venture Capital Fund From Former OpenAI?
Zero Shot's co-founding team consists of Evan Morikawa, Andrew Mayne, and Shawn Jain, all with direct operational experience at OpenAI, according to TechCrunch. This background provides the firm with a unique perspective on AI talent and technology, offering an intimate understanding of the technical challenges and market opportunities emerging AI companies face.
Founders often prefer operator-investors with firsthand experience building and scaling products, a model increasingly prevalent in specialized venture capital. Zero Shot's team pedigree suggests they can not only evaluate complex technology but also provide meaningful guidance to founders, navigating technical hurdles and recruiting specialized talent from a limited expert pool.
The fund's connection to the AI ecosystem is further strengthened by advisors including former OpenAI personnel Diane Yoon, Steve Dowling, and Luke Miller, as reported by TechCrunch. This extended network deepens Zero Shot's access to deal flow and technical due diligence capacity, creating a formidable presence in early-stage AI investing.
Investment Focus of the New Fund by Former OpenAI Members
Zero Shot directs capital toward early-stage AI startups, a segment requiring high-risk tolerance and deep technical expertise. Its strategy, evident in initial investments, favors backing founders from its trusted network who are tackling specific, high-value AI problems. This approach leverages the fund's 'information advantage'—a deep understanding of people and technology emerging from the OpenAI ecosystem.
Worktrace AI, founded by former OpenAI product manager Angela Jiang, is one of Zero Shot's first portfolio companies. This investment exemplifies the fund's thesis of backing known, high-quality founders from their immediate network. Worktrace AI recently closed a $10 million seed round, a significant amount for an early-stage company, indicating strong investor confidence and Zero Shot's ability to access and win competitive deals, according to TechCrunch.
Zero Shot's portfolio also includes Foundry Robotics, as reported by TechCrunch, suggesting the firm's interests extend beyond software to the intersection of AI and the physical world, such as robotics and automation. Investing in hardware-intensive or embodied AI companies requires a longer time horizon and different evaluation criteria than pure software, indicating a sophisticated and potentially broad investment mandate for Zero Shot, focused on practical applications and ventures led by credible, technically-proficient teams.
Why Did Former OpenAI Employees Start a VC Fund?
The motivation behind the formation of Zero Shot appears to stem from a direct observation of an unmet need within their professional network. As talent began to depart from established AI labs to create new companies, the founders of Zero Shot identified an opportunity to provide more than just capital. They saw a chance to offer strategic support grounded in shared experience. According to a quote provided to TechCrunch, the idea was sparked organically: "Some of our friends were coming out of OpenAI and interested in doing companies."
This realization led to a more formal strategic discussion about their unique position in the market. The team believed their insider perspective gave them a distinct advantage in identifying promising ventures and exceptional founders. "Maybe we should do our own fund, because we think we have a pretty good sense of where things are headed, and we have this great access to people who we think are incredible builders," the founders explained in a statement to TechCrunch. This sentiment captures the core value proposition of an operator-led fund: pattern recognition and access.
This move is part of a larger trend where technical experts and former executives from "giant" tech companies become key players in the startup ecosystem. By creating their own funds, they can formalize their angel investing activities and deploy capital at a greater scale. For the limited partners who invest in funds like Zero Shot, the appeal is access to a curated deal flow that would be difficult to source through traditional channels. The fund acts as a bridge, connecting institutional capital with the next wave of innovators emerging from elite technology circles, a crucial function for fostering an effective innovation culture across the industry.
What Happens Next
With its first $20 million close secured, the immediate priority for the Zero Shot team will be the continued deployment of this capital into promising early-stage AI ventures. The pace and nature of their next few investments will be closely watched by the industry as observers seek to gain a clearer understanding of the fund's specific areas of interest within the vast field of AI. Whether they focus on large language model applications, AI infrastructure, robotics, or other sub-sectors will define their market identity.
Concurrently, the partners will continue their fundraising efforts to reach their ultimate target of $100 million. The performance of their initial portfolio companies, like Worktrace AI and Foundry Robotics, will be a critical factor in attracting commitments from additional limited partners. Demonstrating early wins and securing stakes in competitive rounds will be essential for building the momentum needed to close the remainder of the fund. The venture capital market remains competitive, and a strong track record, even in its nascent stages, is paramount.
Several open questions remain. It is not yet clear how formally the fund will be connected to its OpenAI roots or whether it will operate with complete independence. The long-term strategy for follow-on investments and portfolio support also remains to be seen. As the AI industry continues its rapid expansion, the success of specialized, operator-driven funds like Zero Shot could set a new standard for how innovation is financed, turning deep technical expertise into a distinct and valuable asset class.
