Figure

Figure AI

Humanoid robotics powered by AI, the leading commercial deployment attempt.

Emerging / Frontier AI Active #Robotics#PhysicalAI#Emerging#Manufacturing

In short

Figure's humanoid robots, powered by AI vision and language models, are the furthest-along commercial attempt at general-purpose physical AI in industrial settings. Currently deployed in limited production environments.

What it is best at

  1. Warehouse and manufacturing tasks currently requiring human dexterity
  2. Physically demanding or repetitive industrial work without dedicated tooling
  3. Long-horizon research into general-purpose physical AI capability

Built for: Enterprise Operations

Technical foundation

Base model
Vision-language-action models trained on robot interaction data. OpenAI partnership for language capability.
Context and file handling
Camera feeds, sensor data, and verbal instruction.
Latency
Real-time physical control with AI-driven decision making.
Output quality and limits
Operational in limited production environments. Far from general-purpose capability at scale.

Pricing and access tiers

TierModelKey inclusionsLimits
Commercial partnershipCustom enterprise arrangementRobot deployment, integration, and serviceContract-based

Pricing, version numbers, context-window sizes, and compliance certifications change frequently. Where stated they are accurate as of the as_of date and should be confirmed with the vendor before any procurement or compliance decision. Where they could not be stated confidently they are omitted rather than guessed.

Security, privacy and governance

Training data opt-out
Physical operation data terms are governed by partnership agreements.

The governance question this raises

Physical AI is where AI governance, product liability, and workplace safety law converge. A robot that injures a worker is governed by OSHA, product liability, and potentially sector-specific safety regulations, not just AI policy. The EU AI Act specifically classifies AI in safety-critical physical environments as high-risk. The governance requirement before any physical AI deployment is a safety case: what are the failure modes, what is the physical consequence of each, and what are the guards against each mode. That safety case should be documented independently of the vendor's own safety claims.

No compliance certifications are listed here. Certification status is vendor-specific and time-specific, so it is stated only where verified rather than assumed. Check the vendor’s trust centre and confirm it covers the specific tier you are buying.

Integrations and ecosystem

  • Industrial plant systems via partnership integration

API and SDKs: Via commercial partnership.

The verdict

Strengths

  • Commercial production deployment, not purely research
  • General-purpose physical AI capability is the long-horizon value
  • BMW and other industrial partnerships validate commercial viability

Drawbacks

  • Far from general-purpose capability at current scale
  • Product liability and safety law requirements are significant
  • Commercial availability limited to partnership

Consider instead: Tesla Optimus, Physical Intelligence (pi0), Traditional industrial robotics

Frequently asked questions

What is Figure AI used for?

Figure's humanoid robots, powered by AI vision and language models, are the furthest-along commercial attempt at general-purpose physical AI in industrial settings. Currently deployed in limited production environments.

What model does Figure AI run on?

Vision-language-action models trained on robot interaction data. OpenAI partnership for language capability.

Does Figure AI train on your data?

Physical operation data terms are governed by partnership agreements.

What are the alternatives to Figure AI?

The closest comparable tools are Tesla Optimus, Physical Intelligence (pi0), Traditional industrial robotics. Which fits depends on where the work already lives and what the organization's data terms require.

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