{"id":"32c15d38-a0e4-4f8c-926c-8b962d4cfd41","slug":"1x-redwood","name":"Redwood AI","description":"Redwood AI is 1X Technologies' onboard vision-language-action control model for the NEO humanoid, recorded in the registry as a brain distinct from the separate 1X World Model. A roughly 160-million-parameter vision-language transformer tailored to the humanoid form factor, Redwood runs fully onboard NEO's embedded GPU at about 5 Hz and serves as the deployed real-time control and action policy, performing end-to-end mobile bi-manual manipulation, whole-body control, navigation, retrieving objects, and opening doors, trained on teleoperated and autonomous EVE and NEO episodes including learning from failure rollouts. It is distinct from the 1X World Model, a generative physics-grounded world model released in January 2026 for prediction, training, and evaluation: Redwood is the on-robot controller while the World Model is a generative simulation and learning substrate whose outputs are translated to motion by a separate inverse-dynamics model, so the two differ in model class, deployment role, release date, and training method rather than one being a rebrand of the other. Released around June 10, 2025, Redwood is closed and proprietary and is recorded at pilot maturity: it runs on real early-access NEO units offered at twenty thousand dollars or four hundred ninety-nine dollars per month, but 1X describes it as early in development that does not always succeed on the first try, and autonomous operation in customer homes is a stated goal rather than verified, so it is not presented as mass-shipped production.","brainType":"foundation-model","isOpen":false,"maturityStage":"pilot","architecture":"160M-parameter vision-language-action (VLA) transformer; onboard, ~5Hz; end-to-end mobile manipulation","reviewStatus":"reviewed","sources":[{"url":"https://www.1x.tech/discover/redwood-ai","title":"Redwood AI: a vision-language transformer for the humanoid form factor, end-to-end mobile manipulation, onboard NEO at ~5Hz (160M params)","sourceName":"1X Technologies (official)"},{"url":"https://www.therobotreport.com/1xs-neo-humanoid-gains-autonomy-with-new-redwood-ai-model/","title":"1X's NEO humanoid gains autonomy with new Redwood AI model (deployed onboard; early in development)","sourceName":"The Robot Report"},{"url":"https://www.humanoidsdaily.com/feed/1x-unveils-redwood-ai-a-unified-onboard-brain-for-its-neo-humanoid-robots","title":"1X unveils Redwood AI: a unified onboard brain for NEO","sourceName":"Humanoids Daily"},{"url":"https://techcrunch.com/2026/01/13/neo-humanoid-maker-1x-releases-world-model-to-help-bots-learn-what-they-see/","title":"1X releases World Model (Jan 2026) - the SEPARATE generative world model, for distinctness contrast","sourceName":"TechCrunch"}],"keyFacts":[{"label":"Model class","value":"~160M-parameter vision-language-action (VLA) transformer; runs fully onboard NEO's embedded GPU at ~5Hz; end-to-end mobile bi-manual manipulation + whole-body control + navigation. Trained on teleoperated + autonomous EVE/NEO episodes, learning from failure rollouts."},{"label":"Distinct from 1X World Model (the distinctness call)","value":"Redwood = the on-robot CONTROL policy (released ~Jun 10 2025). 1X World Model (registry slug 1x-world-model) = a GENERATIVE physics-grounded world model (Jan 2026) for prediction/training/evaluation, whose outputs are converted to motion by a separate inverse-dynamics model. Different model class, deployment role, release date, and training methodology - NOT a rebrand or subset. This is a verified genuine net-new, not the false-absent pattern."},{"label":"Brain-boundary test","value":"PASS - named onboard foundation control model with a published artifact (1x.tech technical page) AND demonstrated on-robot wiring (runs across NEO). AI-as-primary."},{"label":"Open/closed","value":"Closed / proprietary - no open release stated by 1X (cap-flag: licensing not explicitly disclosed; treated closed pending confirmation, same gap as the 1X World Model)."},{"label":"Maturity = pilot (cap-flag)","value":"Runs on REAL early-access NEO units ($20K or $499/mo), but 1X explicitly calls it early in development that doesn't always succeed first try; autonomous operation in customer homes is a stated goal, not verified. Recorded pilot, not mass-shipped production."},{"label":"Wiring","value":"Powers 1x-neo (the NEO humanoid). Verifiable: Redwood IS NEO's onboard control policy (1X-stated + on-robot demonstrated)."},{"label":"160M onboard VLA Jun 2025 (primary 1X)","value":"1X's Jun 10 2025 Redwood AI post describes Redwood as a ~160M-parameter vision-language transformer for humanoid mobile manipulation, running fully onboard NEO's embedded GPU at about 5 Hz, with joint locomotion and manipulation control and training on teleoperated plus autonomous episodes from EVE and NEO. Treat size and rate as company-stated (1X)"},{"label":"Whole-body multi-contact control (primary 1X)","value":"The same 1X post says Redwood predicts arm, hand, walking, and pelvis pose commands together to enable whole-body and multi-contact behaviors such as bracing while opening heavy doors, rather than decoupling locomotion from manipulation. Treat capability framing as company-stated (1X)"},{"label":"Onboard model size and rate","value":"1X says Redwood is a 160 million parameter vision-language transformer that runs fully on NEO's onboard GPU at about 5 Hz (1X)."},{"label":"Whole-body mobile manipulation","value":"1X says Redwood jointly predicts arm, hand, walking, and pelvis commands so NEO can brace and lean during manipulation, and that it was trained on teleoperated and autonomous episodes from EVE and NEO (1X)."}],"aliases":["Redwood AI","1X Redwood","Redwood"],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-06-04T02:39:07.665Z","updatedAt":"2026-10-09T22:00:31.743Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/1x-redwood","url":"https://registry.deploy.report/brains/1x-redwood","name":"Redwood AI","alternateName":["Redwood AI","1X Redwood","Redwood"],"description":"Redwood AI is 1X Technologies' onboard vision-language-action control model for the NEO humanoid, recorded in the registry as a brain distinct from the separate 1X World Model. A roughly 160-million-parameter vision-language transformer tailored to the humanoid form factor, Redwood runs fully onboard NEO's embedded GPU at about 5 Hz and serves as the deployed real-time control and action policy, performing end-to-end mobile bi-manual manipulation, whole-body control, navigation, retrieving objects, and opening doors, trained on teleoperated and autonomous EVE and NEO episodes including learning from failure rollouts. It is distinct from the 1X World Model, a generative physics-grounded world model released in January 2026 for prediction, training, and evaluation: Redwood is the on-robot controller while the World Model is a generative simulation and learning substrate whose outputs are translated to motion by a separate inverse-dynamics model, so the two differ in model class, deployment role, release date, and training method rather than one being a rebrand of the other. Released around June 10, 2025, Redwood is closed and proprietary and is recorded at pilot maturity: it runs on real early-access NEO units offered at twenty thousand dollars or four hundred ninety-nine dollars per month, but 1X describes it as early in development that does not always succeed on the first try, and autonomous operation in customer homes is a stated goal rather than verified, so it is not presented as mass-shipped production.","identifier":"32c15d38-a0e4-4f8c-926c-8b962d4cfd41","applicationCategory":"foundation-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"pilot","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":4,"primary_source_types":["primary-company-ir","secondary-industry-publication","secondary-trade-publication"]}}}