Physical Intelligence in talks for $1 billion round at valuation above $11 billion

Physical Intelligence is negotiating a new funding round of about $1 billion. If the deal closes, the valuation of the two-year-old AI robotics startup would exceed $11 billion, including the capital already raised.

The round and the valuation

According to sources familiar with the talks, the company is discussing a raise of around $1 billion. For the market, this is not just another big check: the startup is only two years old. With such a deal, Physical Intelligence could reach a valuation of more than $11 billion including the new capital. For a young company without a long public track record, that is a very high bar, which means investors are paying not for the current scale of the business but for the expectation that the team can take an important place in the next wave of AI.

A round of this size shows that interest in AI is gradually shifting from purely digital products to systems that act in the physical world. Chatbots, image generation and office AI assistants have already become familiar territory for the market, but robotics remains a harder and more expensive bet. The barrier to entry is higher, the development cycle is longer and the quality requirements are noticeably greater, because a model's error is no longer limited to text on a screen but affects how a machine behaves in a real environment.

Who is behind the project

Physical Intelligence was founded by AI scientists and former Google DeepMind researchers. That detail matters, because in robotics a team's name is often valued almost as highly as the current product. Success here depends not only on an idea but on the ability to combine several complex layers: model training, perception of the environment, action planning and control of real devices. Alumni of strong research groups are usually seen as people who can build such a system not at demo level but as an engineering platform.

The very fact that the company is discussing a round of this scale so early points to a heavy bet on its research and applied potential. For investors, it signals that the market expects not yet another AI service on top of existing models, but an attempt to build a more fundamental layer: intelligence that can not only answer in text but also carry out actions in a real environment. In robotics this is especially valuable, because a model's error is measured not only by the quality of an answer but by how the machine behaves in physical space.

Why money is flowing into robots

The interest in such companies is easy to explain. After the boom in generative AI, investors are looking for the next category where models can create not only content but a direct economic effect through action: moving objects, performing routine operations, helping in manufacturing, logistics or laboratories. That is why AI robotics looks like a natural continuation of the current cycle. It is harder than software, requires more capital and takes longer to reach mass adoption, but if it succeeds it delivers a far more visible infrastructure result.

• The company is only two years old
• The round under discussion is about $1 billion
• The valuation may exceed $11 billion
• The project was founded by AI scientists and former Google DeepMind researchers

Large sums in this segment are usually needed for more than hiring engineers. AI robotics requires expensive experiments, data collection from real devices, computing resources, simulations and long testing cycles. A big round in this field is therefore both a bet on the team and an acknowledgment that building a useful platform for physical intelligence does not fit within the budget of an ordinary IT startup. The earlier investors are ready to fund such costs, the stronger their belief that the market is ready for the next leap.

What this means

If Physical Intelligence closes the round on the reported terms, it will be another signal that the market is ready to value AI robotics almost on par with the hottest software segments. For the industry, this means growing competition for teams, data and hardware. For business, it brings closer the moment when AI starts delivering value not only on screen but in real operations.