1X Technologies

By active commercial deployment activity in 2026, the leading humanoid robot makers are Tesla (Optimus, factory pilots), Figure AI (02, BMW pilot), Agility Robotics (Digit, warehouse operators), Apptronik (Apollo, Mercedes-Benz pilot), 1X Technologies (Neo, consumer pre-launch), Boston Dynamics (Atlas, R&D), and Unitree Robotics (G1/H-series, research). A fast-growing Chinese cohort (UBTech, Xiaomi, XPeng, Fourier, EngineAI, and others) is shipping platforms at increasingly competitive price points.

Not at labor-market scale in 2026. Verified enterprise deployments operate at pilot scope: Figure 02 at BMW Spartanburg assembled 30,000 vehicles over 11 months; Agility Digit at GXO Flowery Branch handles 100,000 totes per year; Apptronik Apollo runs 3 Fortune-500 pilots; 1X NEO performs consumer household tasks with explicit teleoperation disclosure. These are meaningful capability demonstrations but not workforce-displacement at scale. The framework reads workforce-replacement claims as long-horizon trajectory rather than near-term reality.

1X Technologies has explicitly disclosed that NEO relies on remote human teleoperators for complex household tasks during the consumer rollout phase. NEO is a teleop-bridged humanoid, not a fully autonomous one. 1X frames the teleoperation as the deliberate strategic path to consumer scale, not a stop-gap.

No. Figure AI is a US company headquartered in Sunnyvale, California, founded in 2022 by American entrepreneur Brett Adcock. The confusion likely reflects the substantial Chinese humanoid-manufacturer presence in the broader category (Unitree, AgiBot, UBTech), but Figure AI is American.

Figure 03 is the third-generation humanoid robot from Figure AI, a US humanoid manufacturer based in Sunnyvale, California. The robot stands 173 cm (about 5'8"), weighs 61 kg, and is currently in active pilot deployment at a Catalyst Brands distribution logistics center. It is not available for consumer purchase as of mid-2026.

Apptronik Apollo is a bipedal humanoid robot from Apptronik, a US humanoid maker based in Austin, Texas with NASA Valkyrie research heritage. Apollo is deployed in enterprise pilots across three Fortune-500 customers (Mercedes-Benz, GXO Logistics, Jabil) and represents the enterprise-breadth strategy in the humanoid commercial deployment landscape.

No, not yet. Boston Dynamics' Atlas humanoid is in research-to-commercial transition following the April 2024 reveal of the new electric Atlas platform. The company's quadruped Spot is the commercially-verified product line; Atlas commercial deployment timeline has not been announced. Boston Dynamics is owned by Hyundai Motor Group, which positions Atlas for industrial/enterprise rather than consumer markets.

Unitree's G1 humanoid robot starts at roughly $13,500 to $16,000 for a base research-grade configuration, with more advanced versions running higher. The smaller R1 starts at $5,900 for an entry consumer and developer configuration. Both are made by Unitree Robotics, a Chinese manufacturer based in Hangzhou, and represent the most aggressively priced humanoid platforms commercially available in 2026.

Mentee Robotics is an Israeli humanoid robot maker founded in 2022 by Amnon Shashua, the AI researcher who also leads Mobileye and AI21. Mobileye acquired Mentee in January 2026 for approximately $900 million ($612M cash plus Mobileye Class A shares), making Mentee an independent operating unit inside Mobileye. The company's MenteeBot humanoid is positioned as an AI-first general-purpose platform leveraging Mobileye's autonomous-vehicle perception heritage.

If you want to buy a humanoid robot in 2026, the answer depends on which tier of availability matches your need. 1X NEO is the only consumer-available option ($20,000 outright or $499/month subscription with six-month minimum, late-2026 US delivery). Figure 03 is enterprise-deployed only (Catalyst Brands pilot; no consumer commerce). Tesla Optimus is consumer-promised but not shipping (Musk's $20,000-$30,000 target is a forward claim, no order channel). The three products operate at three structurally distinct tiers.

The major American humanoid makers are Figure AI (Sunnyvale CA), Apptronik (Austin TX), Tesla (Palo Alto CA / Austin TX), Boston Dynamics (Waltham MA; Hyundai-owned), and Agility Robotics (Salem OR). The major Chinese makers are Unitree Robotics (Hangzhou), AgiBot (Shanghai), UBTech (Shenzhen), Fourier Intelligence (Shanghai), XPeng Robotics (Guangzhou), and several others. 1X Technologies operates a Norwegian-American structure (Moss Norway HQ plus Hayward California factory). Mentee Robotics is Israeli (acquired by Mobileye January 2026). Sanctuary AI is Canadian (Vancouver).

The major frontier AI research labs are committing institutionally to robotics in 2025-2026 as a distinct industry cluster. OpenAI formally relaunched its robotics division in May 2026 after a 4-to-5-year hiatus. Google DeepMind operates the Gemini Robotics program as part of its broader model-to-embodiment research. Meta has expanded AI robotics work alongside its Reality Labs portfolio. The cluster is not about any one lab making a robot; it is about foundation-model research lines extending toward physical-world embodiment.

Every major humanoid manufacturer uses teleoperation in development and demonstration. The differential across the cohort is the disclosure layer, not the underlying practice. 1X is the most transparent (explicit teleop disclosure on the consumer commerce surface). Tesla operated framing-without-disclosure at We Robot 2024 (autonomy framing; subsequently confirmed teleoperated). Figure deploys with human-in-loop for exception handling at customer facilities. Apptronik has mixed disclosure across enterprise pilots. The framework treats the disclosure differential as the editorial finding.

Sanctuary AI is a Canadian humanoid robotics company headquartered in Vancouver, British Columbia, founded by Geordie Rose and Suzanne Gildert (both Kindred AI alumni). The company's Phoenix platform is a seventh-generation humanoid emphasizing a cognitive architecture that combines symbolic reasoning with neural learning, structurally distinct from the end-to-end foundation-model approach most US humanoid makers pursue. Sanctuary AI is privately held; not publicly traded.

UBTech Robotics is a publicly-traded Chinese humanoid manufacturer headquartered in Shenzhen, listed on the Hong Kong Stock Exchange. The Walker S2 is the company's industrial-focused humanoid platform deployed in factory pilots with BYD, Geely, Foxconn, and other manufacturing customers. UBTech is real, with verified commercial pilots; the company distinguishes itself from the US private humanoid cohort by being publicly listed with disclosed financial state.

Direct equity exposure to humanoid manufacturers in 2026 is mostly limited to a small set of publicly-traded companies: UBTech Robotics (HKEX-listed Chinese maker), Tesla (NASDAQ; Optimus is one product), and Hyundai Motor Group (KRX; Boston Dynamics parent). The major US humanoid pure-plays (Figure AI, 1X Technologies, Apptronik, Agility Robotics, Sanctuary AI) are privately held and accessible only via venture-stage or accredited-investor channels. Mentee Robotics was acquired by Mobileye in January 2026. DEPLOY is not an investment advisor; this guide documents verification posture, not investment advice.

No consumer-deployed humanoid robot can cook autonomously in 2026. Demonstrations and research exist across the cohort; consumer-grade cooking capability is not verified at deployment scale. Purpose-built robotic kitchens (such as Moley Robotics, a non-humanoid installed kitchen) exist at the research-and-experimental tier near $300,000. For a general-purpose humanoid robot that can prepare meals autonomously in a customer's kitchen, the answer is years from verified consumer-deployment.

Yes, with disclosure. 1X NEO is the verified-leader for consumer-deployment laundry capability in 2026: NEO performs laundry tasks (folding, sorting, light loading) in consumer homes with explicit Expert Mode teleoperation disclosure for complex tasks. Other cohort manufacturers (Tesla Optimus, Figure 03, Apptronik Apollo, Boston Dynamics Atlas, Unitree) demonstrate clothes-folding or related manipulation but do not consumer-deploy laundry capability. Laundry is the canonical example of how task capability varies dramatically across the humanoid cohort: 1X delivers verified consumer capability with teleop disclosure; others deliver demonstrations without consumer deployment.

Humanoid robot capability in 2026 sorts into four verification tiers per DEPLOY's framework. Verified consumer-deployed: 1X NEO performs laundry, organizing, and light manipulation in customer homes with explicit teleop disclosure. Verified enterprise-deployed: Figure 03, Apptronik Apollo, Agility Digit, and UBTech Walker S2 perform manufacturing and logistics tasks at Fortune-500 customer facilities. Research and demonstration: Boston Dynamics Atlas, Tesla Optimus, and Unitree platforms show capability footage but do not deploy. Claimed future: cooking, autonomous home assistance, childcare, and general-purpose household work remain claimed across the cohort but not consumer-deployed.

Agility Robotics is a US humanoid robotics company headquartered in Albany, Oregon, with humanoid R&D heritage tracing through the Cassie research platform that preceded Digit. The Digit humanoid is the company's commercial warehouse and logistics platform, deployed in pilots at GXO Logistics (the 100,000-tote scaled-throughput anchor), Amazon Spanx Tennessee, Schaeffler, and other industrial customers. Agility is privately held, with Amazon as a strategic investor and a manufacturing facility (RoboFab) in Salem, Oregon.

Humanoid robots are bipedal robots with arms, hands, and roughly human-like proportions designed to operate in human environments and perform general-purpose tasks (Tesla Optimus, 1X NEO, Figure 03, Apptronik Apollo, Boston Dynamics Atlas, Unitree G1). Industrial robots are fixed-base manipulator arms designed for specific factory-automation tasks at high precision and reliability (FANUC, Universal Robots, KUKA, ABB). The categories share the word 'robot' but operate at substantively different scales (industrial robotics is a mature commercial category with hundreds of thousands of installed units; humanoid robotics is an emerging category with consumer-deployment at single-manufacturer scale).

Physical AI refers to AI systems that operate in the physical world rather than purely in digital environments. The category spans autonomous vehicles, humanoid robots, autonomous mobile robots in warehouses, drones, and AI-augmented industrial automation. Physical AI differs from digital-only AI in that the system must perceive, decide, and act under physical-world constraints (sensor noise, latency, mechanical failure modes, regulatory frameworks). DEPLOY tracks physical AI across four subcategories with distinct verification frameworks per category.

A foundation model for robotics extends the large-language-model paradigm to physical-action prediction. Trained on robot demonstrations rather than internet text alone, these models output action sequences (motor commands, manipulator trajectories) rather than text tokens. The category is dominated by vision-language-action (VLA) architectures that take camera images plus optional language instructions as input and produce action tokens as output. Companies building these models constitute the brain-provider tier of the robotics value chain, distinct from the humanoid OEM tier that builds the physical platforms the models run on.

Skild AI is a US foundation-model-for-robotics company headquartered in Pittsburgh, Pennsylvania, founded by Deepak Pathak and Abhinav Gupta (both Carnegie Mellon University robotics-research alumni). The company's Skild Brain product is a vision-language-action (VLA) foundation model architected around a cross-platform general-purpose thesis: a single model trained to operate across multiple robot platforms rather than platform-specific brains. Skild has raised substantial 2024-2025 funding rounds; the company is privately held and represents a distinctive position in the brain-provider tier of the robotics value chain.

The brain-provider tier of robotics in 2026 includes several distinct strategic theses. Skild AI pursues cross-platform general-purpose brain deployment. Physical Intelligence (Pi-0; Pi-0.5) emphasizes transformer-based VLA research publications. Covariant specializes in warehouse-automation foundation models. Google DeepMind operates Gemini Robotics and RT-2 across AV and humanoid research. OpenAI Robotics relaunched in May 2026 after a 2021 hiatus. NVIDIA Project GR00T pursues cross-platform humanoid integration aligned with NVIDIA's broader stack. Meta operates research-publication-emphasizing work via FAIR and Reality Labs. The cohort is at research-and-demonstration verification depth; commercial-scale deployment lags behind humanoid OEM commercial deployment substantially.

Robotics value chain operates across three structural tiers. Brain-provider tier companies (Skild AI, Physical Intelligence, Covariant, Google DeepMind, OpenAI Robotics, NVIDIA Project GR00T) build foundation models for robotics without making hardware. OEM-platform tier companies (Figure AI, Apptronik, 1X Technologies, Tesla, Agility Robotics, Boston Dynamics, Unitree, UBTech) build robot hardware platforms with integrated brains. Deployment tier represents real-world operation at customer facilities (BMW Spartanburg, GXO Flowery Branch, Mercedes-Benz pilots). The three tiers operate complementarily; understanding which tier a company occupies is essential for evaluating its competitive position and verification posture.

1X Redwood is the captive-brain / foundation model from [1X Technologies](https://registry.deploy.report/companies/1x-technologies), the AI substrate that powers the [1X NEO](/explainers/is-1x-neo-autonomous-or-controlled-by-humans) consumer humanoid and 1X EVE industrial humanoid. CRITICAL ENTITY SCOPE per audit-first verification: Redwood is 1X's BRAIN entity (registered at /brains/1x-redwood), NOT a humanoid hardware product. Common framing confusion: trade-press coverage occasionally references 'Redwood' as if it were a separate 1X humanoid robot; the verified entity scope is the captive-brain foundation model that integrates into 1X's hardware platforms (NEO + EVE). Per [DEPLOY's brain-providers cluster framework](/explainers/brain-providers), Redwood anchors the captive-brain archetype within the brain-providers cluster, structurally distinct from third-party brain providers (NVIDIA GR00T + Skild AI + Physical Intelligence + Wayve + Covariant + Dyna). Per [consumer-vs-industrial humanoid sub-cohort architecture](/explainers/consumer-vs-industrial-humanoid-archetypes): consumer humanoid archetype operates more likely captive-brain integration (Redwood as canonical worked example) vs industrial humanoid archetype's more likely third-party-brain integration claims (cap-flagged per primary-source verification).

A dispatch framed 1X Redwood as '1X's industrial sibling to NEO consumer' with 'industrial-pilot with verified pilot deployments' (a humanoid hardware product). Audit-first verification against the registry surface showed Redwood is registered at /brains/1x-redwood as a brain entity (foundation model + captive AI substrate), NOT a humanoid hardware product. The 1X Technologies actual humanoid product lineup at the registry surface: /models/1x-eve (industrial) + /models/1x-neo (consumer). No /models/1x-redwood exists. The correction was caught before the entity anchor was authored, surfaced to the operator, and corrected at the editorial framing layer. The brain-entity vs hardware-model entity-type discipline is now editorially canonical. This piece documents the catch as a framework-in-action worked example demonstrating audit-first discipline + dispatch-framing-vs-codebase-reality verification + cap-flag honesty operating at editorial-anchor depth.

DEPLOY tracks cross-cluster talent-flow at primary-source-anchored PersonCompany-edge granularity per Arc A people graph substrate. The diaspora graph framework operates at three canonical pattern classes: post-wind-down diaspora (Cruise canonical worked example; founders + executives + technical leadership transition across multiple destinations after corporate wind-down); license-and-hire diaspora (Amazon × Covariant canonical worked example; co-founders + ~25% staff transition to acquirer while standalone entity continues under remaining leadership); adjacent-employer-prior diaspora (Meta AI / FAIR + Google X / Everyday Robots as recurring prior employers in brain-providers and humanoid cohort hires). Each pattern class operates at distinct PersonCompany-edge structure: current_role=false with end_date populated + where-they-went edge (post-wind-down + license-and-hire); current_role=true with prior-employer edge at honest-absence end_date if no specific tenure-end disclosed (adjacent-employer-prior). The framework reads talent-flow at four substrate-axis granularity: source company + destination company + role transition + tenure date precision; cap-flag-as-trust-signal operates recursively on diaspora framing same as on any other relationship-record claim depth. Cross-property bidirectional discipline operational: PersonCompany edges cross-reference acquisition records (Cruise wind-down ↔ GM full re-absorption Acquisition record; Covariant license_and_hire ↔ Amazon × Covariant Acquisition record) + partnership records + entity records simultaneously.

DEPLOY tracks Phase 3 Dim 2 manufacturer counterparty risk substrate at primary-source-anchored verification depth per Agent A's mfs=7 manufacturer_financial_states baseline backfill: Intuitive Surgical FY2024 $8.35B (sec_10k; mature; counterparty=low) + Stryker nine-month 2024 $16.16B (sec_10q; mature; counterparty=low; SEC-verified-figure-with-narrower-precision-cap-flag CANONICAL worked example) + Zimmer Biomet FY2024 $7.68B (sec_8k; mature; counterparty=low) + Boston Dynamics private_reported NULL revenue (mature; counterparty=low via Hyundai ~80% parent-backing CANONICAL worked example for counterparty-risk-by-parent-backing classification) + Apptronik private_reported NULL (growth; counterparty=moderate; recent $350M Series A Feb 2025) + Figure AI private_reported NULL (growth; counterparty=moderate; ~$1B Series C 2025 at ~$39B reported valuation) + 1X Technologies private_reported NULL (growth; counterparty=moderate; 2024 Series B ~$100M EQT-led + subsequent 2025 round). Cap-flag-as-trust-signal recursive at three substantive layers: SEC-verified-figure-with-narrower-precision-cap-flag pattern (Stryker Q3 nine-month $16,159M used instead of unverified FY extrapolation; verified-vs-claimed at sub-fiscal-period granularity) + honest-absence on private-financials USD fields (Apptronik + Figure + 1X all NULL revenue at honest-absence cap-flag pending primary-source disclosure) + cash_runway_basis NULL when cash_runway_months NULL across the board (validator-aware discipline; cash_runway_months not publicly-disclosed for any of these makers; cash_runway_basis stays NULL preserving validator integrity). Counterparty-risk-by-parent-backing classification discipline as canonical: Boston Dynamics counterparty=low via Hyundai ~80% subsidiary parent-backing vs Apptronik/Figure/1X counterparty=moderate as growth-stage privates without parent-backing.