OpenAI Alums Quietly Launch Zero Shot Venture Fund Aiming to Raise $100 Million

Former OpenAI employees have launched a new venture fund Zero Shot with a target size of $100 million. The fund has already begun investing in stealth mode — without public announcements and without disclosing details about investments or the composition of the management team. Zero Shot is not just a catchy name.

In machine learning, the term "zero-shot" refers to a model's ability to solve tasks without special training on specific examples. This is a fundamental concept embedded in most modern language models, including the GPT series. The choice of such a name is an intentional signal: the founders understand the technology from the inside and want it to be immediately obvious to potential LPs and startup founders they are considering.

The trend is not new, but it becomes increasingly noticeable with each passing year. OpenAI has become a true incubator of venture investors and founders of a new generation. Among those who left the company to build their own ventures: the Anthropic team led by Dario Amodei, Ilya Sutskever with Safe Superintelligence, and dozens of other researchers and product managers scattered across the industry. Some of them created competing labs, some moved to the corporate sector, and now more and more people are choosing the venture path — to shape the next wave rather than simply participate in it.

It is precisely the employees who worked at OpenAI in its early stages who possess a rare advantage. They witnessed firsthand how AI products are built — products that later transform entire industries. Such people know how to distinguish real technological progress from hype — and they understand exactly what AI startup founders need, because they themselves have been in that role.

Zero Shot operated in stealth mode — without press releases, without conferences, without media activity. According to TechCrunch, the fund has already written several investment checks, although the names of portfolio companies remain undisclosed. The target size of $100 million is typical for a debut early-stage fund. This amount allows for 20-40 investments in the $1-5 million range during seed and pre-seed rounds — enough to build a diversified portfolio without the need to chase mega-rounds.

The fund's discretion is likely a deliberate strategy. In venture capital, reputation is built slowly, and early bets are better made without public scrutiny. Stealth mode provides time to refine internal processes, establish a stable deal flow, and demonstrate initial results to limited partners — before entering the market with large-scale fundraising or public statements.

For the AI ecosystem as a whole, the emergence of specialized funds with deep technical expertise is a positive development. Generative AI is currently navigating a difficult transition from experimentation to commercial deployment. Startups need not just capital, but investors capable of providing guidance on product strategy, technical architecture, and customer acquisition. This is precisely what alumni from the world's leading AI laboratory can offer.

If Zero Shot successfully closes its first fund at $100 million, it will join the ranks of specialized AI funds — such as AI Grant or Conviction Capital — but with the most direct operational connection to OpenAI. The first portfolio companies will reveal the team's true priorities: vertical AI agents, model infrastructure, multimodal applications, or something entirely different.

For now, the names of the fund's managers have not been publicly disclosed, and the portfolio remains undisclosed. But the very existence of Zero Shot speaks to one thing: the people who created the AI revolution from within now want to financially participate in its next wave — and this time from the opposite side of the table.