General Intuition in talks to raise $300M at around $2B valuation

General Intuition, an AI startup focused on advanced spatial-temporal reasoning, is reportedly in advanced talks to raise a substantial $300 million in a new funding round. This potential investment would value the company at around $2 billion and attract high-profile backers, including Amazon founder Jeff Bezos.

This news comes less than a year after the company successfully closed a significant seed round, highlighting growing investor confidence in its unique approach to developing AI agents that can understand and interact with the physical world. The discussions signal a strong belief in General Intuition's mission to bridge the gap between language-based AI and systems capable of real-world perception and action.

General Intuition: Pioneering Spatial-Temporal AI

Founded in 2025, General Intuition emerged as a spin-off from Medal.tv, a popular platform for sharing gameplay moments. The company's core mission revolves around building foundation models and general agents that possess deep spatial and temporal reasoning capabilities. Unlike many current AI models that primarily process language, General Intuition aims to develop AI that can "move from words to worlds," enabling machines to perceive, anticipate, and improvise within dynamic environments.

The startup leverages an incredibly rich and unique dataset: billions of gameplay clips generated annually by Medal.tv's users. This vast archive of interactive video data provides an unparalleled training ground for AI agents to learn how objects and entities interact in space and time. By observing first-person gaming perspectives across tens of thousands of diverse virtual environments, General Intuition's AI agents are being trained to understand physical space in a way that goes beyond traditional data sets.

The leadership team includes co-founders Pim de Witte (CEO), Adam Jelley, Eloi Alonso, and Vincent Micheli. Pim de Witte, formerly of OpenAI, has been instrumental in steering the company's ambitious vision. General Intuition operates with teams based in both New York and Geneva, fostering international collaboration in AI research.

The Latest Funding Discussions: A $300 Million Boost

Sources indicate that General Intuition is currently engaged in talks to raise approximately $300 million. This significant capital injection would reportedly push the company's valuation to around $2 billion. A notable aspect of these discussions is the involvement of new, high-profile investors. Jeff Bezos, through his personal investment vehicles, is reportedly among the backers considering participation, alongside Eric Schmidt, the former Google CEO.

Existing investors like Khosla Ventures and General Catalyst, who led previous funding rounds, are also expected to participate, reinforcing their continued confidence in General Intuition's trajectory.

Building on Strong Foundations: The $134 Million Seed Round

The reported talks for new funding come on the heels of a highly successful seed round that General Intuition closed in October 2025. In that round, the company secured $134 million (approximately €114 million), making it one of the largest early-stage investments in the AI sector for 2025. This seed funding already valued the company at over $2 billion. The round was led by prominent venture capital firms Khosla Ventures and General Catalyst, with additional participation from The Raine Group and other investors.

The proceeds from that initial funding were earmarked to scale the company's research team and accelerate the development of AI agents capable of performing in both virtual and real-world environments. This included advancing research in agentic systems that learn from unstructured video, world models that simulate dynamic environments for training, and video understanding with applications beyond gaming.

The Significance of Spatial-Temporal Reasoning in AI

The focus of General Intuition on spatial-temporal reasoning represents a critical frontier in AI development. While Large Language Models (LLMs) have shown incredible capabilities in understanding and generating text, they often lack an inherent understanding of the physical world, its physics, and how objects interact within it. This is often referred to as the "brains without hands" problem.

General Intuition aims to address this by training AI agents to develop a "general intuition of reality." By processing billions of gameplay videos, the AI learns from real human interactions within diverse, complex 3D environments. This data allows the models to grasp concepts like causality, object permanence, navigation, and interaction dynamics – essential components for true general intelligence.

The applications of such advanced spatial reasoning extend far beyond gaming. While the company plans to launch AI-powered non-player characters (NPCs) and simulation tools by the first half of 2026, its long-term vision includes potential applications in robotics, autonomous systems, and drones. Imagine AI agents that can seamlessly navigate and perform tasks in complex real-world settings, much like a human, or robots that can learn new skills by observing human actions in videos. This shift from language-centric AI to world-centric AI is considered by many experts to be the next major step toward human-level intelligence.

Industry Implications and Future Outlook

The continued strong investor interest in General Intuition, particularly the reported $300 million talks with figures like Jeff Bezos, underscores a broader trend in the AI industry. Investors are increasingly looking beyond foundational large language models towards the next generation of AI that can truly interact with and understand the physical world. This includes "world models" – AI systems that can simulate environments and predict outcomes – which are seen as crucial for developing more robust and versatile AI.

General Intuition's success in attracting significant capital suggests that its unique data source (gaming videos) and its specialized focus on spatial-temporal reasoning are resonating strongly with those looking to invest in the future of AI. The company's strategy to use gaming as a training ground for general-purpose agents could position it as a key player in the development of embodied AI, where AI systems can learn and operate within physical or simulated physical environments.

This fresh influx of capital would allow General Intuition to further expand its research and engineering teams, accelerate its model development, and potentially explore new applications for its technology. With a clear vision and substantial backing, General Intuition is poised to make significant contributions to the field of AI, pushing the boundaries of what intelligent machines can perceive, understand, and do in the world.

Frequently Asked Questions

What is General Intuition?

General Intuition is an AI startup founded in 2025 that specializes in training AI agents with deep spatial and temporal reasoning capabilities. It aims to develop AI that can understand and interact with the physical world, moving beyond language-centric models.

What kind of data does General Intuition use to train its AI?

The company leverages a unique and massive dataset of billions of gameplay clips generated annually by users of Medal.tv, a gaming clip platform. This allows its AI agents to learn how objects and entities behave and interact in diverse, dynamic virtual environments.

Who are the key investors in General Intuition?

General Intuition has previously raised a significant seed round led by Khosla Ventures and General Catalyst, with participation from The Raine Group. More recently, the company is reportedly in talks to raise additional funding from high-profile investors, including Jeff Bezos and Eric Schmidt, alongside its existing backers.

What are the potential applications of General Intuition's technology?

While the company plans to initially focus on enhancing gaming experiences with AI-powered NPCs and simulation tools, its long-term vision extends to broader applications. Its spatial-temporal reasoning AI could be applied in fields such as robotics, autonomous systems, and drones, enabling machines to better perceive, navigate, and interact with real-world environments.