Robotics · Hybrid
Figure
Figure’s production architecture is centered on its in-house **Helix** vision-language-action stack running on vertically integrated humanoid hardware and a proprietary BotQ manufacturing/software infrastructure, with robots streaming high-bandwidth data for continuous training and fleet improvement[1][2][7][9]. Core control and reasoning have moved off external LLMs to fully in-house Helix models, with cloud services used as supporting infrastructure rather than as foundational AI engines[7][9].
Foundation proximity: Native (own / self-hosted weights)
Foundational models & how they consume them
PrimaryHelix (current VLA stack: 7B vision-language + high-frequency visuomotor policy)· Figure (self-hosted on proprietary training and inference infrastructure) · Native (own / self-hosted weights)
Cloud & datastore
Hybridproprietary manufacturing/operations data infrastructure (MES/PLM/ERP/WMS stack)[2]custom telemetry and training data pipelines for Helix VLA (vision, language, proprioception)[7][9]Compliance
Not publicly specified; likely standard enterprise practices but no explicit SOC2/ISO27001/IEC 62443 claims in accessible materials[1][2][7][9]Similar companies
CovariantPhysical IntelligenceOthers that build on proprietary / self-built models
Abnormal SecurityAbridgeAdobeAI21 LabsAleph AlphaAmbienceExplore
FAQ
Does Figure use a foundational AI model?
Figure uses Helix (current VLA stack: 7B vision-language + high-frequency visuomotor policy) (Native (own / self-hosted weights)).
What cloud does Figure run on?
Figure runs on Hybrid.
What database does Figure use?
Figure uses proprietary manufacturing/operations data infrastructure (MES/PLM/ERP/WMS stack)[2], custom telemetry and training data pipelines for Helix VLA (vision, language, proprioception)[7][9].
How close does Figure run to the foundational model?
Figure is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.
Sources
figure.ai ↗Also on the map
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Architecture inferred from public sources · confidence low · verify before betting on a detail.