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

General Intuition, an embodied AI startup, is in advanced fundraising discussions to secure $300 million at a valuation near $2 billion, according to TechCrunch. The company trains AI systems and world models using Medal's proprietary dataset, which ingests approximately 2 billion videos annually from 10 million monthly active users.

The funding round positions General Intuition as a serious contender in the embodied AI space, where companies build AI systems capable of understanding and interacting with physical environments. Unlike language-only models, embodied AI requires massive amounts of video data showing real-world interactions, object manipulation, and environmental navigation. Medal's dataset gives General Intuition a substantial competitive advantage by providing continuous, real-world video streams at scale.

Embodied AI remains one of the most resource-intensive AI domains. Training systems that can reason about physics, predict outcomes of actions, and operate robotic hardware demands video data showing diverse scenarios and interactions. General Intuition's access to billions of videos yearly allows the company to train world models that understand how environments respond to different inputs.

The valuation reflects investor confidence in both embodied AI's commercial potential and General Intuition's data moat. Companies building robots, autonomous systems, and AI agents need robust world models to function safely and effectively in unpredictable real-world settings. General Intuition's approach of leveraging Medal's user-generated video dataset creates a feedback loop where more users contribute more data, strengthening the underlying models.

The fundraising comes as robotics and embodied AI accelerate toward commercialization. Companies including Tesla, Figure AI, and others race to deploy physical AI systems. Success depends on training data quality and scale. General Intuition's data advantage and $2 billion valuation signal that investors see embodied AI as a major frontier worth substantial capital deployment. The funding would likely accelerate