Physical AI startups are quickly becoming one of the most talked-about investment trends in 2026—and a new $1.3 billion fund from Eclipse Ventures signals just how big this shift could be. The firm is doubling down on technologies that move AI beyond screens and into the real world, from robotics to energy systems. For founders, investors, and tech enthusiasts asking “what is physical AI?” or “why are VCs investing in it now?”, this move offers a clear answer: the next wave of innovation is happening in the physical world, and it’s accelerating fast.
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Physical AI Startups Enter a New Era of Investment
The rise of physical AI startups marks a fundamental shift in how artificial intelligence is applied. Instead of focusing purely on software, companies are now building systems that interact directly with the real world—machines that can move, build, transport, and optimize physical environments.
With its newly announced $1.3 billion fund, Eclipse Ventures is positioning itself at the center of this transformation. The capital is split between early-stage incubation and growth-stage investments, allowing the firm to support startups from idea to scale.
This isn’t just another venture fund chasing hype. The firm has already built a track record investing in companies that bridge software intelligence with physical systems. Its growing portfolio reflects a deliberate strategy: back startups that can reshape industries like transportation, manufacturing, and energy.
Why Physical AI Is the Next Big Technology Shift
According to Eclipse partner Jiten Behl, the industry is entering a new technological era. Over the past two decades, innovation cycles have been dominated by the internet, mobile computing, and cloud-based platforms. Now, the focus is shifting toward real-world applications powered by AI.
This new phase—often referred to as “physical AI”—combines advanced machine learning with robotics, automation, and infrastructure systems. The goal is simple but powerful: move intelligence off screens and into machines that can act in the physical world.
Several factors are driving this shift. Breakthroughs in AI models have made systems more capable and adaptable. At the same time, hardware improvements and declining costs are making it easier to deploy these technologies at scale. Add growing demand from industries facing labor shortages and efficiency challenges, and the timing becomes clear.
The result is a perfect storm of innovation, talent, and capital—all converging to accelerate the growth of physical AI startups.
Inside Eclipse’s Strategy to Build an AI Ecosystem
What makes Eclipse’s approach particularly interesting is not just the size of the fund, but how it plans to deploy it. Rather than investing in isolated startups, the firm is building an interconnected ecosystem of companies that can collaborate and scale together.
This strategy focuses on creating synergies across sectors such as transportation, energy, infrastructure, compute, and defense. By encouraging portfolio companies to partner early, Eclipse aims to help them achieve scale faster and validate their technologies in real-world environments.
For example, a robotics startup could work alongside a logistics company within the same portfolio, sharing data and infrastructure. These partnerships can create powerful feedback loops, improving both performance and market adoption.
This ecosystem-driven model reflects a deeper understanding of how physical AI works. Unlike traditional software, these systems often require integration across multiple industries. Success depends not just on individual innovation, but on how well different technologies work together.
Key Physical AI Startups Already Backed by Eclipse
A quick look at Eclipse’s existing investments highlights the firm’s focus on real-world impact. Its portfolio includes companies working on everything from electric transportation to advanced robotics.
Among them is Arc, a startup developing electric boats designed to modernize marine transportation. Another is Redwood Materials, which is tackling one of the biggest challenges in clean energy: sustainable battery recycling and material recovery.
The firm has also invested in Bedrock Robotics, which is building autonomous construction vehicles capable of transforming infrastructure development. In the autonomous driving space, Wayve is developing AI systems that enable vehicles to navigate complex environments.
Additionally, Mind Robotics is pushing the boundaries of industrial automation, creating systems that can operate in dynamic, real-world settings. Together, these companies illustrate the breadth of the physical AI landscape—and the scale of opportunity it represents.
Building Startups from Scratch: Eclipse’s Incubation Model
Beyond investing, Eclipse is also taking a more hands-on approach by incubating startups internally. This means the firm doesn’t just fund companies—it helps create them from the ground up.
This model allows Eclipse to identify gaps in the market and assemble teams to address them. By combining capital with operational expertise, the firm can accelerate the development of new ideas and bring them to market faster.
According to Jiten Behl, this process is already underway, with several new ventures in development. While details remain limited, the focus appears to be on enterprise solutions that can operate across multiple industries.
This approach reflects a broader trend in venture capital, where firms are becoming more actively involved in company building. In the context of physical AI, this hands-on strategy could be particularly valuable, given the complexity and capital intensity of these technologies.
The Role of Data in Scaling Physical AI Startups
One of the most important elements of Eclipse’s thesis is data. In the world of physical AI, data is not just a byproduct—it’s a critical asset that can drive competitive advantage.
As startups deploy their technologies across different sectors, they generate vast amounts of data about real-world operations. This data can be used to train more advanced AI models, improving performance and enabling new capabilities.
Eclipse’s strategy involves connecting these data streams across its portfolio. By sharing insights between companies, the firm hopes to create a network effect that strengthens each startup’s position.
This cross-sector data approach could become a key differentiator in the market. As AI systems become more sophisticated, access to diverse and high-quality data will be essential for maintaining a competitive edge.
Challenges Facing the Physical AI Revolution
Despite its potential, the rise of physical AI startups is not without challenges. Building and deploying these systems often requires significant capital, long development cycles, and complex regulatory approvals.
Unlike software startups, which can scale quickly with relatively low costs, physical AI companies must deal with hardware, supply chains, and real-world constraints. This makes execution more difficult—and riskier.
There are also questions around safety, reliability, and ethical considerations. As AI systems take on more physical tasks, ensuring they operate safely and responsibly becomes critical.
However, these challenges also create barriers to entry, which can benefit well-funded and well-positioned companies. With its substantial new fund, Eclipse appears ready to navigate these complexities and support its portfolio through the entire lifecycle.
What This Means for the Future of AI Startups
The launch of Eclipse’s $1.3 billion fund is more than just a financial milestone—it’s a signal of where the tech industry is heading. Physical AI startups are moving from niche experiments to mainstream investment opportunities.
For entrepreneurs, this shift opens up new possibilities to build companies that have tangible, real-world impact. For investors, it represents a chance to participate in what could be the next major wave of technological innovation.
And for industries ranging from construction to transportation, the implications are profound. As AI systems become more integrated into physical operations, they have the potential to increase efficiency, reduce costs, and solve complex challenges at scale.
A Defining Moment for Physical AI
The rise of physical AI startups marks a defining moment in the evolution of artificial intelligence. With its new $1.3 billion fund, Eclipse Ventures is betting that the future of AI lies beyond screens—in machines that can interact with and transform the physical world.
By combining investment, incubation, and ecosystem building, the firm is taking a comprehensive approach to shaping this emerging sector. While challenges remain, the momentum behind physical AI is undeniable.
As this new era unfolds, one thing is clear: the next generation of groundbreaking startups won’t just think—they’ll act.
