Brain
Figure AI's onboard dual-system VLA. System 2 is an internet-pretrained VLM (7B params, 7-9 Hz) handling scene and language understanding; System 1 is a fast reactive visuomotor policy (80M params, 200 Hz). Helix-02 (January 27, 2026) extended to full-body control via System 0, a 1 kHz neural prior trained on 1,000+ hours of human motion data that replaced roughly 109,504 lines of hand-engineered C++. The first VLA to control a full humanoid upper body including individual fingers from one set of weights, and the first to run two robots from one set of weights.
Foundation model · Maturity: Commercial · Closed · Powers 2 robots
Machine-readable surfaces
- Markdown mirror: /brains/helix.md
- RSS feed: /brains/helix/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/brains/9fc8ad4b-3d2f-4a3e-a0fe-f7ea7e138eb2
- Revision history: /brains/helix/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Architecture
Dual-system VLA. System 2 (S2): onboard internet-pretrained VLM, 7B params, 7-9 Hz. System 1 (S1): fast reactive visuomotor policy, 80M params, 200 Hz. Helix-02 added System 0, a 1 kHz neural prior trained on 1,000+ hours of human motion data, replacing roughly 109,504 lines of hand-engineered C++. Runs on embedded low-power onboard GPUs, no cloud.
Key facts
- Verified commercial milestone
- May 13, 2026: Figure CEO demonstrated a team of Figure 03 robots running a full 8-hour autonomous shift on Helix-02, package sorting, no human intervention
- Training data
- Learned from approximately 500 hours of demonstration data
- Onboard runtime
- Embedded low-power onboard GPUs, no cloud
- DEPLOY maturity rationale
- Verified 8-hour autonomous shift in commercial sortation; counted as commercial not production
Developed by (1)
Powers (2)
Common questions
- What is Helix (and Helix-02)?
- Figure AI's onboard dual-system VLA. System 2 is an internet-pretrained VLM (7B params, 7-9 Hz) handling scene and language understanding; System 1 is a fast reactive visuomotor policy (80M params, 200 Hz). Helix-02 (January 27, 2026) extended to full-body control via System 0, a 1 kHz neural prior trained on 1,000+ hours of human motion data that replaced roughly 109,504 lines of hand-engineered C++. The first VLA to control a full humanoid upper body including individual fingers from one set of weights, and the first to run two robots from one set of weights.
- Which robots run on Helix (and Helix-02)?
- 2 robot models on the DEPLOY registry run on Helix (and Helix-02): Figure 02, Figure 03.
- Who developed Helix (and Helix-02)?
- Helix (and Helix-02) is credited to Figure AI on the DEPLOY registry. Each developer attribution is verified via primary sources.
- Is Helix (and Helix-02) open source?
- No. Helix (and Helix-02) is recorded as proprietary on the DEPLOY registry. Model weights and source are not publicly available.
- What type of AI is Helix (and Helix-02)?
- Helix (and Helix-02) is a foundation model, built on a Dual-system VLA. System 2 (S2): onboard internet-pretrained VLM, 7B params, 7-9 Hz. System 1 (S1): fast reactive visuomotor policy, 80M params, 200 Hz. Helix-02 added System 0, a 1 kHz neural prior trained on 1,000+ hours of human motion data, replacing roughly 109,504 lines of hand-engineered C++. Runs on embedded low-power onboard GPUs, no cloud. architecture on the DEPLOY registry.
- What is Helix (and Helix-02)'s maturity stage?
- Helix (and Helix-02) is at the commercial stage on the DEPLOY maturity ladder. Commercial stage means production-grade deployments are operating at named customer sites.
Sources (10)
- Figure AI: Helix (primary) · https://www.figure.ai/news/helix
- Figure AI: Helix in logistics · https://www.figure.ai/news/helix-logistics
- TechTimes: Helix-02 8-hour autonomous shift (May 14, 2026) · https://www.techtimes.com/
- Luigi Freda: Helix architecture overview · https://luigifreda.com/
- https://techstartups.com/2025/02/21/ai-startup-figure-unveils-helix-new-ai-model-lets-robots-follow-voice-commands-handle-unknown-objects/
- https://newatlas.com/robotics/helix-vla-figure-02-robot/
- https://www.geeky-gadgets.com/figure-ai-helix-robotic-model/
- https://www.figure.ai/news/introducing-figure-03
- https://www.prnewswire.com/news-releases/figure-exceeds-1b-in-series-c-funding-at-39b-post-money-valuation-302556936.html
- https://www.figure.ai/news/series-c
Methodology: Verified · 10 sources (3 primary) · last reviewed 2026-05-30
Verification posture
Verified
High confidence
Review state
Stable
Last reviewed 2026-05-30
Maturity + lifecycle
Maturity stage: commercial
Sources by quality tier
- 7
- unclassified
- Unclassified source
- 3
- primary-company-ir
- Company IR disclosure
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Helix (and Helix-02).Canonical ID 9fc8ad4b-3d2f-4a3e-a0fe-f7ea7e138eb2