Prabowo Widodo
A new venture capital fund, Zero Shot, deeply entwined with the formative years of OpenAI, has officially announced the first close on its ambitious $100 million goal. This significant milestone marks its formal entry into the competitive landscape of AI investment, positioning itself as a discerning player backed by unparalleled operational and technical expertise from the very frontier of artificial intelligence development. The fund’s co-founders, a distinguished cohort predominantly comprising former OpenAI luminaries, disclosed to TechCrunch that they have already initiated investments, signaling a proactive approach to deploying capital into promising AI ventures.
The Genesis of Zero Shot: From OpenAI to Venture Capital
The inception of Zero Shot, a name cleverly referencing a sophisticated AI training paradigm, was not a meticulously pre-planned venture but rather an organic evolution stemming from a shared recognition of a critical void within the burgeoning AI ecosystem. The core founding partners, having played pivotal roles during OpenAI’s most transformative periods – from the nascent stages of DALL-E to the groundbreaking launch of ChatGPT and the development of Codex – found themselves in an unexpected yet opportune position. Their deep-seated knowledge and firsthand experience in building, deploying, and scaling cutting-edge AI technologies made them invaluable resources.
Post-OpenAI, these individuals were frequently solicited for insights, advice, and consultations by both established venture capitalists seeking to navigate the complex AI landscape and by a burgeoning community of founder friends grappling with the intricacies of AI startup development. This consistent demand for their specialized expertise inadvertently illuminated a significant market opportunity. Andrew Mayne, a co-founder of Zero Shot and OpenAI’s original prompt engineer, who also hosts The OpenAI podcast and founded the AI deployment consultancy Interdimensional, articulated this journey, noting how the constant flow of inquiries from VCs and aspiring founders ultimately led to a collective realization. “Some of our friends were coming out of OpenAI and interested in doing companies,” Mayne explained, highlighting the natural progression of their network’s needs.
The founders collectively observed a burgeoning number of AI startups receiving funding, yet a discernible disconnect often existed between these investments and the genuine, unmet needs of the market or the practical realities of deploying robust AI solutions. This perceived "gaping hole" between capital deployment and strategic market alignment became the catalyst for Zero Shot. The idea crystallized: why merely consult when they could actively shape the future of AI by backing ventures that truly understood the trajectory of the technology? Mayne recalled the pivotal decision, stating, “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.” This sentiment underpins Zero Shot’s strategic advantage: leveraging insider knowledge and a robust network to identify and cultivate truly disruptive AI innovations.
A Team Forged in the AI Revolution: The Architects of Zero Shot
The strength of Zero Shot lies unequivocally in its founding team, a synergistic blend of technical prowess, operational acumen, and investment savvy. Three of the five founding partners are direct alumni of OpenAI, bringing with them an unparalleled understanding of AI’s developmental intricacies and market potential.
- Evan Morikawa: A central figure in OpenAI’s engineering efforts, Morikawa served as the former head of applied engineering during the monumental launches of DALL-E, ChatGPT, and Codex. His tenure spanned the period of OpenAI’s most rapid product innovation and growth, providing him with intimate knowledge of turning advanced AI research into widely adopted applications. Currently, Morikawa is also contributing his expertise to the robotics startup Generalist, further broadening his perspective on AI’s embodiment in the physical world.
- Andrew Mayne: Recognized as OpenAI’s original prompt engineer, Mayne’s role was critical in shaping how users interact with and extract value from advanced AI models. Beyond his foundational work at OpenAI, Mayne has cultivated a public profile as the host of The OpenAI podcast and is the founder of Interdimensional, an AI deployment consultancy. His multifaceted background provides a unique blend of technical insight, public communication, and practical application.
- Shawn Jain: An engineer and former researcher at OpenAI, Jain’s deep technical understanding of AI models is complemented by his subsequent foray into venture capital and his own entrepreneurial endeavor, Synthefy, a GenAI startup. This dual perspective as both a builder and an investor offers a comprehensive lens through which to evaluate emerging AI technologies.
These OpenAI alums are joined by two equally formidable partners, diversifying the fund’s expertise beyond core AI development:
- Kelly Kovacs: A seasoned venture capitalist, Kovacs brings a wealth of experience from her previous role as a founding partner at 01A. This growth-stage venture firm was notably founded by Dick Costello and Adam Bain, former Twitter executives, providing Kovacs with a strong background in scaling successful technology companies and navigating complex investment landscapes.
- Brett Rounsaville: With a distinguished career spanning giants like Twitter and Disney, Rounsaville offers extensive experience in product strategy, operations, and scaling consumer-facing technologies. He also serves as CEO at Andrew Mayne’s Interdimensional, further solidifying the operational and strategic links within the Zero Shot leadership.
Mayne emphasized the long-standing camaraderie among the OpenAI alums, noting, “been friends for years,” having collaborated closely during OpenAI’s most intense growth phases. This shared history and mutual respect form a strong foundation for their collective venture, promising a cohesive and strategically aligned investment approach.
Strategic Investment Philosophy: Beyond the Hype
Zero Shot’s investment strategy is fundamentally rooted in its founders’ deep understanding of AI’s current capabilities, its limitations, and its probable future trajectory. This insider perspective allows them to not only identify promising opportunities but, crucially, to discern which areas of the market are overhyped or fundamentally flawed. This is the essence of their "Zero Shot" approach: making informed decisions based on minimal prior examples, leveraging their inherent knowledge of the domain.
The fund, after engaging with various institutions and family offices, successfully secured an initial $20 million, propelling them towards their ultimate $100 million target. Their proactive investment strategy is already evident, with several checks already written, signaling their readiness to deploy capital into ventures aligned with their vision.
Early Bets and Promising Portfolios: Shaping the Future of Enterprise and Robotics AI
Zero Shot has already made strategic early investments in companies that reflect its core philosophy of backing foundational AI solutions with clear market utility. These initial portfolio companies demonstrate a keen eye for innovation and a focus on areas ripe for disruption.
- Worktrace AI: Zero Shot has invested in Worktrace AI, a startup led by Angela Jiang, an early product manager at OpenAI. Worktrace AI is developing an AI-based management software platform designed to assist enterprises in automating tasks by first intelligently identifying what processes are suitable for automation. This focus on intelligent process discovery before automation speaks to a sophisticated understanding of enterprise needs. The startup’s potential has also attracted significant attention, having raised a $10 million seed round from notable investors including Mira Murati (OpenAI’s CTO) and OpenAI’s own venture fund, according to PitchBook estimates. This co-investment with OpenAI’s internal fund is a strong validation of Worktrace AI’s vision and execution.
- Foundry Robotics: Another significant early investment is Foundry Robotics, a startup dedicated to advancing next-generation, AI-enhanced factory robotics. This investment aligns with Morikawa’s deep expertise in applied engineering and robotics. Foundry Robotics recently secured a substantial $13.5 million seed round, led by the prominent venture capital firm Khosla Ventures, further underscoring the high potential perceived in its approach to industrial automation. The convergence of AI and robotics is a critical frontier, and Zero Shot’s backing here highlights its commitment to tangible, physical world applications of AI.
- Stealth Startup: The fund has also made a third investment in a startup that remains in stealth mode, hinting at further strategic plays in nascent but impactful areas of AI development.
These early investments signal Zero Shot’s intent to back companies that are not merely leveraging AI for incremental improvements but are fundamentally reshaping industries through intelligent automation and advanced robotic capabilities.
Navigating the AI Investment Minefield: What They’re Skipping
A distinguishing characteristic of Zero Shot’s investment philosophy is its explicit identification of areas where it is not investing. This critical discernment, born from intimate knowledge of AI’s inner workings and developmental timelines, provides a significant advantage in a market often swayed by hype cycles. The founders believe their ability to predict the non-linear evolution of AI models allows them to sidestep fads and focus on enduring value.
- Skepticism Towards "Vibe Coding" Platforms: Andrew Mayne expresses a strong bearish outlook on most iterations of "vibe coding" platforms. These tools typically aim to assist developers by generating code based on natural language prompts or contextual cues. Mayne’s skepticism stems from a belief that the very model makers (like OpenAI itself), with their unparalleled coding expertise and access to foundational models, will rapidly integrate similar functionalities directly into their core offerings. This, he argues, will render subscriptions to standalone "vibe coding" platforms unnecessary as the market matures and foundational AI models become increasingly capable of sophisticated code generation. The rapid pace of innovation in large language models suggests that specialized tools that merely wrap around core LLM capabilities may have a short shelf life if the underlying models evolve quickly enough to absorb those functionalities.
- Avoiding "Ergo-centric Video Data Companies" in Robotics: Evan Morikawa, with his extensive background in applied engineering and robotics, voices strong reservations about what he terms "ergo-centric video data companies" in the robotics sector. These startups often focus on collecting and processing vast amounts of video data for embodiment training in robotics. Morikawa’s concern is rooted in the significant "embodiment gap" – the chasm between simulated or observed actions and a robot’s ability to physically perform those actions in the real world. He critically notes, "There’s a lot of hoping and praying going on right now that someone in the research world will figure out how to transfer the embodiment gap," but cautions that such a breakthrough is "nowhere near possible" with current technology. This highlights a pragmatic, research-informed approach to robotics investment, prioritizing fundamental breakthroughs over data-centric solutions that rely on yet-to-be-solved research challenges.
- Doubts on Most "Digital Twin" Startups: Mayne is also highly skeptical of the majority of startups focusing on "digital twins" – virtual replicas of physical objects or systems. His due diligence, which included building reasoning models to test existing digital twin solutions, led him to conclude that in many cases, a regular Large Language Model (LLM) could perform just as effectively. This suggests that many current digital twin applications may not offer a sufficiently differentiated or superior capability to warrant significant investment, especially if foundational AI models can replicate their core functionalities more cost-effectively and flexibly.
Morikawa succinctly captured the essence of their defensive strategy: "There is a real skill in knowing how to predict where these models will be going next, because it’s extremely not obvious. It’s not linear." This insight underscores the value of their insider perspective in a rapidly evolving technological domain.
The Power of Proven Insight: An Advisory Council
Beyond its formidable founding partners, Zero Shot has strategically assembled an advisory board composed of recognizable names whose experience further bolsters the fund’s capabilities and network. These advisors, who will share in the fund’s "carried interest," provide critical guidance across various facets of venture building and market navigation.
- Diane Yoon: OpenAI’s former head of people, Yoon’s expertise is invaluable in identifying and nurturing talent, a critical component for any successful startup. Her insight into organizational growth and culture will be instrumental in supporting Zero Shot’s portfolio companies.
- Steve Dowling: The former head of communications at both OpenAI and Apple, Dowling brings unparalleled experience in strategic messaging, brand building, and navigating public perception for high-profile technology companies. His guidance will be crucial for startups seeking to articulate their vision and scale their impact.
- Luke Miller: A former product leader at OpenAI, Miller’s product development acumen will be a significant asset, helping portfolio companies refine their offerings and achieve product-market fit.
The presence of these high-caliber advisors underscores Zero Shot’s comprehensive approach, recognizing that successful venture building extends beyond mere capital injection to encompass talent, communication, and product strategy.
Broader Implications for the AI Ecosystem
The emergence of Zero Shot represents a significant development in the broader AI investment landscape. As an "operator-led" fund, particularly one founded by individuals from a company as influential as OpenAI, it embodies a growing trend where seasoned industry veterans transition into venture capital, bringing with them not just capital but deep domain expertise, a robust network, and a pragmatic understanding of technological development.
This fund is poised to exert a substantial influence on how AI startups are conceived, funded, and scaled. Its founders’ ability to critically assess technological viability and market need, rather than merely chasing trends, could lead to a more disciplined and impactful allocation of capital within the AI sector. For aspiring AI entrepreneurs, securing investment from Zero Shot could offer more than just funding; it provides access to a rare lineage of expertise and a direct conduit to the cutting edge of AI innovation.
In an era where AI hype often outpaces practical application, Zero Shot’s discerning approach, informed by firsthand experience at the vanguard of AI development, offers a refreshing and potentially game-changing model for venture capital. As it progresses towards its full $100 million goal and continues to deploy capital, Zero Shot is set to become a pivotal force in shaping the next generation of artificial intelligence, backing the builders who are truly poised to drive meaningful progress.
