FieldAI vs Wayve
A side-by-side comparison of FieldAI and Wayve, two Robotics tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | FieldAI | Wayve |
|---|---|---|
| Category | Robotics | Robotics |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment | Local | Local |
| Platforms | API | API |
| Model support | Self-contained (on-device) | Self-contained (on-device) |
| Vendor (differs) | FieldAI | Wayve |
| Capabilities (differs) |
|
|
The honest brief
FieldAI
One foundation-model 'brain' spans many robot bodies, where most rivals train per-robot or per-task policies.
- Embodiment-agnostic: one brain, many robots
- Risk-aware 'Belief World Model'
- Works without maps, GPS, or set routes
- Backed by Bezos, Gates, and Nvidia
- Enterprise-only, no public pricing
- Aimed at robot makers, not end users
- Early in commercial deployment
Wayve
AV2.0: one end-to-end neural net from sensors to steering — no hand-coded perception or planning modules.
- End-to-end learned driving (AV2.0)
- Hardware-agnostic, any vehicle
- GAIA generative world model
- LINGO interpretable driving model
- Backed by NVIDIA, Microsoft, SoftBank
- Not a buyable product
- End-to-end models harder to audit
- Pre-commercial deployment stage
- Regulatory path still uncertain
When to pick which
Both cover Robot foundation model, World model, and Autonomous navigation.
Pick Wayve if you need Vision-language-action.
- Vision-language-action (secondary capability)
Wayve leans on Autonomous navigation as a headline capability; FieldAI treats it as secondary.
- Autonomous navigation (primary capability)