VC Eclipse has a new $1.3B fund to back — and build — ‘physical AI’ startups

2026-04-07 · Source: Robotics News | TechCrunch · Field: Business & Management — Entrepreneurship & Start-ups, Corporate Strategy & Leadership · Depth: Fundamental Awareness, quick

Summary

Eclipse, a Palo Alto-based venture capital firm, has significantly increased its investments in "physical world" technologies, focusing on what it terms "Physical AI." The firm recently secured $1.3 billion in fresh capital, split between a $591 million early-stage incubation fund and a growth-oriented fund. This capital infusion supports investments in companies like electric boat developer Arc, battery recycling firm Redwood Materials, self-driving construction vehicle startup Bedrock Robotics, autonomous vehicle tech company Wayve, and industrial robotics lab Mind Robotics. Eclipse partner Jiten Behl identifies Physical AI as the next major technological era, characterized by AI moving from screens into the physical world to solve real-world problems, driven by talent, technological advancements, demand, policy, and capital.

Key takeaway

For venture capitalists and entrepreneurs evaluating emerging technology sectors, Eclipse's substantial investment in "Physical AI" signals a critical shift towards real-world applications of AI. You should consider how your investment or product strategy aligns with this trend, focusing on solutions that integrate AI with physical actions and foster ecosystem partnerships to accelerate growth and data utilization. This approach could build significant competitive moats.

Key insights

Physical AI, integrating advanced intelligence with real-world actions, is identified as the next major technological investment wave.

Principles

• Physical AI is driven by talent, tech, demand, and policy.
• Ecosystem building accelerates startup scale and proof points.

Method

Eclipse employs a strategy of building an interconnected ecosystem of portfolio companies across physical sectors (transportation, energy, infrastructure, compute, defense) to foster early partnerships, scale, and data sharing for smarter AI models.

In practice

• Invest in startups across physical sectors.
• Foster partnerships among portfolio companies.
• Utilize cross-sector data for AI model training.

Topics

• Eclipse Ventures
• Physical AI
• Venture Capital Fund
• Startup Incubation
• Ecosystem Strategy

Best for: Investor, Entrepreneur, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Robotics News | TechCrunch.