Eclipse VC Raises $1.3B for Physical AI Startups
Palo Alto-based VC firm Eclipse secures $1.3 billion across two new funds to invest in and incubate startups at the intersection of AI and the physical world.

Eclipse, a Palo Alto-based venture capital firm, has successfully closed $1.3 billion in new capital, allocated across a $591 million early-stage incubation fund and a growth-oriented fund. This significant investment is earmarked for backing and building "physical AI" startups, signaling a strategic focus on companies that integrate advanced intelligence with real-world actions across various industrial sectors.
- Strategic Focus: Eclipse is targeting the "physical world" era, where AI moves beyond screens to solve tangible problems in sectors such as transportation, energy, infrastructure, compute, and defense.
- Ecosystem Building: The firm's strategy involves creating a network of portfolio companies in overlapping fields, fostering partnerships and data sharing to accelerate scale and market penetration.
- Incubation Model: Eclipse plans to actively incubate new companies from this fund, with partner Jiten Behl confirming that this process has already commenced, indicating a hands-on approach to venture creation.
- Prior Investments: The firm's existing portfolio includes notable companies like electric boat developer Arc, battery recycling firm Redwood Materials, and autonomous vehicle tech company Wayve, demonstrating a clear trajectory towards physical AI.
- Market Thesis: Eclipse aims to connect disparate sectors and leverage cross-sector data to train smarter AI models, thereby building competitive moats and driving broader technological advancements.
Why it matters: This substantial capital infusion into physical AI is poised to accelerate innovation in critical industries. By funding and incubating companies that bridge the digital and physical realms, Eclipse's investment could catalyze the development of transformative technologies, enhance operational efficiencies, and reshape economic landscapes through intelligent automation and real-world problem-solving.