General Intuition Secures $133.7M Seed, Redefines AI with Embodied Learning
October 18, 2025, 3:39 pm
Location: Netherlands, North Holland, Naarden
Employees: 11-50
Founded date: 2015
Total raised: $85.4M
General Intuition secured $133.7 million in seed funding. This AI startup aims for "general intuition," a leap beyond text-based models. It uniquely leverages billions of interactive gameplay clips from Medal, the vast gaming platform. This rich, real-world data trains embodied AI agents. These systems learn from pure visual input and controller actions, simulating human perception. Applications are broad: enhancing gaming, powering advanced robotics, and enabling sophisticated autonomous drones. This monumental investment signals a pivotal shift in AI development, pushing towards robust physical and spatial understanding for transformative virtual and real-world capabilities.
A significant financial event has shaken the Artificial Intelligence sector. General Intuition announced a groundbreaking $133.7 million seed funding round. This massive investment positions the startup as a formidable AI contender. It stands as one of 2025's largest early-stage AI capital raises. Premier venture capital firms backed this ambitious endeavor. Khosla Ventures and General Catalyst co-led the round. The Raine Group also participated. This substantial capital infusion reflects immense investor confidence. It validates a distinct, forward-thinking approach to AI development. General Intuition operates from New York and Geneva. This cross-continental structure underlines its global aspirations.
General Intuition drives a fundamental shift in AI research. Its core objective is cultivating "general intuition" within artificial intelligence. Conventional powerful foundation models predominantly rely on written language for training. This dependency limits AI's capacity for real-world understanding. General Intuition contends that AI must develop perceptual abilities. It needs to anticipate events. It requires the power to improvise. Achieving this necessitates a profound grasp of physical reality. The path forward involves interactive video data. This unique data source promises breakthroughs in intelligence research.
The startup benefits from an unparalleled data ecosystem. General Intuition emerged as a spin-off from Medal. Medal stands as the world's largest and fastest-growing platform for gaming moments. Medal players capture billions of gameplay clips annually. Each clip encapsulates a unique, action-packed highlight. This treasure trove provides immense environmental diversity. It yields uniquely capable agentic systems. Over two billion gameplay clips flow through Medal each year. Ten million monthly active users generate this content. This scale of interaction data is critical. It is rarely seen in traditional AI datasets. This rich, interactive video data offers vital learning opportunities. AI agents learn from both dramatic successes and instructive failures. These "edge cases" are crucial. They build robust spatial and temporal awareness in AI systems. The sheer volume ensures continuous, dynamic learning.
General Intuition champions an embodied AI paradigm. Its intelligent agents operate purely via visual input. They perceive their environment precisely as a human player would. Their movements are dictated by controller inputs. This methodology directly mimics human-machine interaction. This approach yields remarkable transferability. It naturally extends to physical robotic systems. Robotic arms, industrial drones, and autonomous vehicles are prime beneficiaries. Such real-world machines often receive human commands via game-like controllers. The company dedicates resources to scaling its research team. It advances development of AI agents. These agents demonstrate proficiency in both virtual and physical environments. Key research areas include agentic systems capable of learning from unstructured video. It also focuses on world models. These models simulate dynamic environments for training. Crucially, video understanding extends far beyond just gaming contexts.
While deeply rooted in gaming, General Intuition's impact transcends it. The technology aims to drastically elevate existing gameplay experiences. It will also facilitate entirely new, previously unimaginable interactive possibilities. AI-powered non-player characters (NPCs) are a key development. Their commercial launch is anticipated by the first half of 2026. These next-generation NPCs promise unprecedented levels of interactivity. Their adaptability will far exceed deterministic, rule-based predecessors. General Intuition positions itself as an enhancer, not a replacement. It strives to improve gameplay for developers, designers, and artists. The company operates as a public-benefit corporation. This structure reflects a commitment to positive industry impact. It ensures ethical considerations guide its advancements.
The implications of embodied AI reach far beyond virtual gaming. General Intuition envisions profound real-world applications. Search-and-rescue drones present a compelling example. These intelligent systems could interpret unfamiliar terrains. They would navigate complex environments autonomously. This capability would operate without reliance on GPS. Such versatility is a hallmark of the company's approach. Autonomous vehicles and industrial robotics also stand to gain immense benefits. The core belief driving General Intuition is crucial. Large Language Models (LLMs) alone are insufficient for achieving Artificial General Intelligence (AGI). LLMs inherently lack understanding of physical dynamics and spatial relationships. General Intuition's approach fills this critical void. It integrates virtual interactive learning with tangible real-world intelligence.
This substantial seed funding round underscores a stark market contrast. General Intuition's raise dramatically surpasses typical European investments in adjacent sectors. Most 2025 AI and robotics rounds across Europe averaged between €3 million and €12 million. This disparity highlights General Intuition's scale and ambition. Its early-stage nature and cross-continental presence make this particularly notable. The company’s trajectory points to a pioneering path. It aims for truly intuitive AI systems. This new frontier promises transformative advancements. It will impact both virtual realities and physical interactions. General Intuition is forging a future where AI genuinely understands its world. This heralds a new era for intelligent systems.
A significant financial event has shaken the Artificial Intelligence sector. General Intuition announced a groundbreaking $133.7 million seed funding round. This massive investment positions the startup as a formidable AI contender. It stands as one of 2025's largest early-stage AI capital raises. Premier venture capital firms backed this ambitious endeavor. Khosla Ventures and General Catalyst co-led the round. The Raine Group also participated. This substantial capital infusion reflects immense investor confidence. It validates a distinct, forward-thinking approach to AI development. General Intuition operates from New York and Geneva. This cross-continental structure underlines its global aspirations.
General Intuition drives a fundamental shift in AI research. Its core objective is cultivating "general intuition" within artificial intelligence. Conventional powerful foundation models predominantly rely on written language for training. This dependency limits AI's capacity for real-world understanding. General Intuition contends that AI must develop perceptual abilities. It needs to anticipate events. It requires the power to improvise. Achieving this necessitates a profound grasp of physical reality. The path forward involves interactive video data. This unique data source promises breakthroughs in intelligence research.
The startup benefits from an unparalleled data ecosystem. General Intuition emerged as a spin-off from Medal. Medal stands as the world's largest and fastest-growing platform for gaming moments. Medal players capture billions of gameplay clips annually. Each clip encapsulates a unique, action-packed highlight. This treasure trove provides immense environmental diversity. It yields uniquely capable agentic systems. Over two billion gameplay clips flow through Medal each year. Ten million monthly active users generate this content. This scale of interaction data is critical. It is rarely seen in traditional AI datasets. This rich, interactive video data offers vital learning opportunities. AI agents learn from both dramatic successes and instructive failures. These "edge cases" are crucial. They build robust spatial and temporal awareness in AI systems. The sheer volume ensures continuous, dynamic learning.
General Intuition champions an embodied AI paradigm. Its intelligent agents operate purely via visual input. They perceive their environment precisely as a human player would. Their movements are dictated by controller inputs. This methodology directly mimics human-machine interaction. This approach yields remarkable transferability. It naturally extends to physical robotic systems. Robotic arms, industrial drones, and autonomous vehicles are prime beneficiaries. Such real-world machines often receive human commands via game-like controllers. The company dedicates resources to scaling its research team. It advances development of AI agents. These agents demonstrate proficiency in both virtual and physical environments. Key research areas include agentic systems capable of learning from unstructured video. It also focuses on world models. These models simulate dynamic environments for training. Crucially, video understanding extends far beyond just gaming contexts.
While deeply rooted in gaming, General Intuition's impact transcends it. The technology aims to drastically elevate existing gameplay experiences. It will also facilitate entirely new, previously unimaginable interactive possibilities. AI-powered non-player characters (NPCs) are a key development. Their commercial launch is anticipated by the first half of 2026. These next-generation NPCs promise unprecedented levels of interactivity. Their adaptability will far exceed deterministic, rule-based predecessors. General Intuition positions itself as an enhancer, not a replacement. It strives to improve gameplay for developers, designers, and artists. The company operates as a public-benefit corporation. This structure reflects a commitment to positive industry impact. It ensures ethical considerations guide its advancements.
The implications of embodied AI reach far beyond virtual gaming. General Intuition envisions profound real-world applications. Search-and-rescue drones present a compelling example. These intelligent systems could interpret unfamiliar terrains. They would navigate complex environments autonomously. This capability would operate without reliance on GPS. Such versatility is a hallmark of the company's approach. Autonomous vehicles and industrial robotics also stand to gain immense benefits. The core belief driving General Intuition is crucial. Large Language Models (LLMs) alone are insufficient for achieving Artificial General Intelligence (AGI). LLMs inherently lack understanding of physical dynamics and spatial relationships. General Intuition's approach fills this critical void. It integrates virtual interactive learning with tangible real-world intelligence.
This substantial seed funding round underscores a stark market contrast. General Intuition's raise dramatically surpasses typical European investments in adjacent sectors. Most 2025 AI and robotics rounds across Europe averaged between €3 million and €12 million. This disparity highlights General Intuition's scale and ambition. Its early-stage nature and cross-continental presence make this particularly notable. The company’s trajectory points to a pioneering path. It aims for truly intuitive AI systems. This new frontier promises transformative advancements. It will impact both virtual realities and physical interactions. General Intuition is forging a future where AI genuinely understands its world. This heralds a new era for intelligent systems.