Figure AI vs Generalist AI
A side-by-side comparison of Figure AI and Generalist AI, two Robotics tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Figure AI
RoboticsHumanoid robots powered by Helix, an in-house vision-language-action model.
View Figure AIGeneralist AI
RoboticsEmbodied foundation models that train robots to do real physical work.
View Generalist AIAt a glance
| Attribute | Figure AI | Generalist AI |
|---|---|---|
| Category | Robotics | Robotics |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment (differs) | Local | Hybrid |
| Platforms | API | API |
| Model support | Self-contained (on-device) | Self-contained (on-device) |
| Vendor (differs) | Figure AI | Generalist AI |
| Capabilities (differs) |
|
|
The honest brief
Figure AI
Exited its OpenAI deal to own the full stack — Helix runs onboard, so hardware and AI are built end-to-end in-house.
- Proprietary Helix VLA model
- Full-stack hardware + AI
- Real pilots (BMW manufacturing)
- Figure 03 targets the home
- Not a buyable product yet
- Capital-intensive, long timelines
- General-purpose autonomy unproven at scale
Generalist AI
Hardware-agnostic GEN-1 aims to run dexterous tasks across many robot bodies, rather than tying its model to one in-house humanoid.
- Cross-embodiment foundation model
- Founders from DeepMind and Boston Dynamics
- Heavily funded (Nvidia, Bezos)
- Focus on dexterity and reliability
- Pre-commercial research stage
- No public product or API yet
- Requires robot hardware
- Generality claims still unproven in field
When to pick which
Generalist AI leans on Dexterous manipulation as a headline capability; Figure AI treats it as secondary.
- Dexterous manipulation (primary capability)
They also differ on:
- Deployment
- Local · Hybrid
Their capability lists differ in recorded depth — compare the full lists above before deciding.