General Intuition, a New York and Geneva-based AI startup has raised approximately €114 million in a Seed funding round – making it one of 2025’s largest early-stage investments in AI.
The round was led by Khosla Ventures and General Catalyst, with participation from Raine.
“This next frontier in AI requires large scale interaction data, but is severely data constrained. Meanwhile, nearly 1 billion videos are posted to Medal each year. Each of them represents the conclusion of a series of actions and events that players find unique – across tens of thousands of environments. The only other platform of comparable upload scale is YouTube,” said Pim de Witte, CEO and Co-founder.
By comparison, most European startups working in embodied AI, agentic systems, or robotics have raised significantly smaller amounts.
For instance, Energy Robotics (Germany) secured €11.5 million in a Series A round to advance its autonomous robot and drone inspection software. Similarly, Unchained Robotics (Germany) raised €8.5 million in an extended Series A to make industrial automation more accessible.
In Southern Europe, Cyberwave (Italy) closed a €7 million early-stage round to build a connective operating layer linking AI agents with real-world machines and sensors. Meanwhile, Omnia (Spain) raised €3.5 million in pre-Seed funding for its agentic AI platform aimed at helping brands interact with AI systems.
Against this backdrop, General Intuition’s Seed funding far exceeds typical European deal sizes in adjacent sectors.
While most 2025 AI and robotics rounds reported by EU-Startups have ranged between €3 million and €12 million, General Intuition’s raise underscores a sharp contrast in both scale and ambition – particularly notable given its early stage and cross-continental structure spanning New York and Geneva.
“When you play video games, you essentially transfer your perception, usually through a first-person view of the camera, to different environments,” added de Witte. “You get this selection bias towards precisely the kind of data you actually want to use for training work.”
Founded in 2025 as a spin-off from the Dutch video platform Medal, General Intuition emerged from Medal’s extensive user base and content pool, which includes over 2 billion gameplay clips annually from 10 million monthly active users. Unlike typical AI startups that rely on curated training data, the company leverages organically uploaded content featuring dramatic successes and failures – ideal edge cases for training systems with spatial and temporal awareness.
It’s able to do this purely through visual input; agents only see what a human player would see, and they move through space by following controller inputs. This approach, the company says, can transfer naturally to physical systems like robotic arms, drones, and autonomous vehicles, which are often manipulated by humans using video game controllers.
The startup will use the funding to scale its research team and advance development of AI agents designed to perform in both virtual and real-world environments.
The company’s research targets include agentic systems capable of learning from unstructured video, world models that simulate dynamic environments for training, and video understanding that applies beyond gaming.
The company is structured as a public-benefit corporation and aims to enhance, not replace, creative roles in the gaming industry.
Commercially, it plans to launch AI-powered non-player characters (NPCs) and simulation tools by the first half of 2026. These NPCs are expected to offer a level of interactivity and adaptability that exceeds the capabilities of deterministic, rule-based bots.
General Intuition’s emphasis on embodied AI also has real-world applications, including search-and-rescue drones that can interpret and navigate unfamiliar terrains without relying on GPS.
This versatility stems from the startup’s belief that LLMs alone are insufficient for achieving artificial general intelligence (AGI), due to their lack of understanding of physical and spatial dynamics
