Physical AI — the push to bring AI out of chatboxes and into robots, drones, and factories — is now one of the fastest-growing categories in AI funding. In recent weeks alone, startups building robot foundation models, autonomous drones, robotic hands, and robotics vision hardware have raised well over $1.6 billion combined, at valuations that rival some of the biggest software rounds of 2026.
Here's a look at who's raising, how much, and what it says about where AI investment is headed next.
| Company | Amount | Valuation | Focus |
|---|---|---|---|
| Quantum Systems | $1.2B (Series D) | $8B | Autonomous AI drones (Germany) |
| Generalist AI | $400M | ~$2B | Robot foundation models |
| CarbonSix | $40M (Series A) | — | Physical-AI robotic hands for factories (South Korea) |
| Luxonis | ~$14M | — | Vision layer for physical AI / robotics |
Generalist AI: $400M for robot foundation models
Generalist AI raised $400 million at a valuation of roughly $2 billion, led by Radical Ventures. The company is building foundation models for robots — the physical-AI equivalent of what GPT-class models did for language, but trained to control bodies instead of generate text.
The bet is that robotics doesn't need a different robot for every task; it needs a general-purpose model that can be fine-tuned or prompted into new physical behaviors, the same way a language model adapts to a new use case without being rebuilt from scratch. A $2 billion valuation for a company built around that thesis is a strong signal that investors think the "foundation model for robots" race is real and worth funding early. Full breakdown: Generalist AI funding.
Quantum Systems: $1.2B for autonomous AI drones
The single largest number in this roundup belongs to Quantum Systems, a German drone maker that closed a $1.2 billion Series D at an $8 billion valuation. Quantum Systems builds autonomous AI-piloted drones, and a round of this size — nearly triple Generalist AI's — shows how much capital is flowing specifically into defense- and security-adjacent physical AI, where autonomy has immediate, well-funded demand from governments and militaries in Europe and beyond.
At $8 billion, Quantum Systems is now valued in the same tier as some of the best-known AI infrastructure companies, built entirely on hardware that flies itself. Track this and other mega-rounds in the AI Funding Tracker.
CarbonSix: $40M for robotic hands in factories
CarbonSix, a South Korea-based startup, raised a $40 million Series A co-led by DSC Investment and LB Investment to build physical-AI robotic hands for factories. Where Generalist AI and Quantum Systems are chasing broad autonomy, CarbonSix is narrower and more immediately commercial: dexterous robotic hands that can be deployed into existing manufacturing lines.
That narrower focus is a common pattern in physical AI right now — instead of trying to solve general embodiment in one shot, startups are picking a single high-value appendage (a hand, an arm, a drone chassis) and making it as capable as possible before expanding scope. Full breakdown: CarbonSix funding.
Luxonis: ~$14M for the vision layer of physical AI
Luxonis raised approximately $14 million to build what it calls the vision layer for physical AI — the cameras, depth sensors, and on-device perception systems that let robots and drones actually see and understand the world around them.
It's the smallest round in this group, but arguably the most foundational. Every robot foundation model, every autonomous drone, and every robotic hand needs a way to perceive its environment before it can act on it. Luxonis is positioning itself as infrastructure that sits underneath the flashier, higher-valuation plays — the picks-and-shovels layer of physical AI. Full breakdown: Luxonis funding.
Why physical AI is the next funding frontier
Put these four rounds side by side and a stack starts to emerge:
- Perception (Luxonis) — sensors and vision systems that let machines see.
- Manipulation (CarbonSix) — specialized hardware, like robotic hands, that lets machines act on what they see.
- General intelligence (Generalist AI) — foundation models that let a wide range of robot bodies learn and adapt.
- Deployed autonomy at scale (Quantum Systems) — full autonomous systems already generating billion-dollar-plus valuations in the field.
That's a full pipeline, from raw sensor data to a $8 billion autonomous product, and every layer is currently attracting serious venture capital. It mirrors how AI funding built out the software stack in 2023-2025 — first infrastructure, then models, then applications — except this time the "application" is a machine that moves through physical space.
There are two forces driving the money. First, the scaling story for pure chat and coding AI is maturing, and investors are hunting for the next platform shift — physical AI, where the addressable market is every warehouse, factory floor, farm, and battlefield, looks like that shift. Second, the underlying technology is finally catching up to the ambition: cheaper sensors, better simulation environments, and transformer-based approaches that transfer surprisingly well from digital to physical tasks.
The valuations tell the story of how investors are pricing risk across the stack. Quantum Systems, with a deployed product and government-scale demand, commands $8 billion. Generalist AI, further from commercial deployment but attacking a bigger theoretical prize, still commands roughly $2 billion. CarbonSix and Luxonis, both earlier and narrower, are raising smaller rounds to prove out a single layer before scaling. That's a coherent risk curve, not a bubble of undifferentiated hype — which is part of why physical AI is drawing comparisons to the earliest days of the cloud infrastructure buildout rather than a passing trend.
For a broader look at how these rounds stack up against the rest of 2026's AI funding activity, see the biggest AI funding rounds of 2026.
Following AI funding? Wortins tracks the biggest raises, valuations, and acquisitions daily in the AI Funding Tracker.