World Model Landscape 2026
$55B+ in startup capital. 31 companies. Zero building personal AI governance.
Physical world models have escaped the lab and become a capital formation story. Investors are underwriting models that predict, simulate, and control the physical world—vehicles, robots, drones, industrial sites. This landscape maps every major funded player and identifies the structural gap none of them address.
I. Capital by Segment
II. Full Market Map
Every company mapped below is building models of the physical world. Sorted by total capital raised.
| Company | Segment | World Model Wedge | Capital Raised | Valuation |
|---|---|---|---|---|
| Waymo | AV | Multi-sensor planning | $27.6B | $126B |
| Cruise | AV | Urban AV stack | $7.7B | N/A (GM) |
| Anduril | Defense | Sensor fusion + autonomy | $6.26B | $30.5B |
| Aurora | AV | L4 trucking | $3B+ | $8.1B |
| Wayve | AV | End-to-end vision | $2.8B | $8.6B |
| Nuro | AV | Delivery autonomy | $2.3B | $6B |
| Pony.ai | AV | Multi-modal L4 | $2.3B | $5–7B |
| Zoox | AV | Purpose-built robotaxi | $2.2B+ | N/A (Amazon) |
| Figure AI | Humanoid | General-purpose humanoid | $1.9B | $39B |
| Zipline | Defense | Drone logistics | $1.8B | $7.6B |
| Skild AI | Foundation | Universal robot brain | $1.8B | $14B+ |
| Helsing | Defense | Battlefield AI | $1.6B | $14B |
| World Labs | Spatial | 3D spatial intelligence | $1.23B | $5B |
| Applied Intuition | Toolchain | Simulation + Vehicle OS | $1.2B | $15B |
| Shield AI | Defense | Autonomous aircraft | $1.2B | $5.3B |
| WeRide | AV | Multi-product autonomy | $1.1B | $3.1B |
| Physical Intelligence | Foundation | Generalist robot learning | $1.1B | $5.6B |
| Luma AI | Spatial | Multimodal world models | $1.07B | $4B |
| AMI Labs | Spatial | JEPA world models | $1.03B | $3.5B |
| Waabi | AV | Simulation-first autonomy | $1.03B | $3B |
| Apptronik | Humanoid | Industrial humanoid | $1.0B | $5.5B |
| Einride | AV | Electric autonomous freight | $865M | N/A |
| Runway | Spatial | Video to world models | $770M | $5.3B |
| Plus | AV | Autonomous trucking | $720M | $1.2B |
| Skydio | Defense | Autonomous drones | $715M | $2.2B |
| Agility Robotics | Humanoid | Warehouse humanoid | $683M | $2.1B |
| Kodiak | AV | Trucking autonomy | $448M | $2.5B |
| Rhoda AI | Foundation | Robot foundation model | $450M | $1.7B |
| May Mobility | AV | Autonomous shuttles | $300M | N/A |
| Decart | Spatial | Real-time interactive AI | $153M | $3.1B |
| General Intuition | Spatial | Spatial-temporal reasoning | $134M | $2B+ |
III. The Missing Layer
Personal AI governance
Across 31 companies and $55B+ in capital, the market is building perception and control for fleets, factories, and battlefields. Not a single company is building the governance layer for when these agents touch everyday life.
Six capabilities define what is missing:
- Identity and authority
- Permissions and scopes
- Data boundaries
- Audit trails
- Revocation controls
- Escalation policies
No product in this landscape delivers all six.
If you are not explicitly building governance into your world-model strategy, you are implicitly conceding it to someone else—likely the party that controls identity, payments, devices, or distribution.