Figure AI
California-headquartered humanoid-robotics company building general-purpose bipedal robots for industrial and eventually consumer deployment — Figure 02 already running on BMW’s Spartanburg X3 line, the Helix vision-language-action model fully in-house since exiting OpenAI, and BotQ factory output scaling from a handful of units in 2025 toward a stated 12,000-robot first-line capacity.
The Business
Figure AI builds general-purpose humanoid robots for industrial and eventually consumer deployment. The product line is anchored on Figure 02 (the second-generation humanoid platform deployed on BMW’s Spartanburg X3 line for 11 months completing November 2025), the Helix vision-language-action foundation model (fully in-house since Figure exited the OpenAI partnership in February 2025), and the BotQ factory in California ramping toward a stated 12,000-robot first-line annual capacity scaling to 100,000 robots over four years. The company was founded in 2022 by Brett Adcock with a self-funded $100M seed and has raised approximately $1.9B of external capital, most recently a September 2025 Series C exceeding $1B at a $39B post-money valuation. The strategic-investor cohort includes Microsoft, NVIDIA, OpenAI Startup Fund, Jeff Bezos, ARK Invest, Intel Capital, Parkway Venture Capital, T-Mobile Ventures, Brookfield Asset Management, T. Rowe Price and LG.
Customers and Distribution
Figure does not publicly disclose annual revenue or ARR in primary sources. The principal commercial validation is the BMW Manufacturing Spartanburg deployment: 11 months running Figure 02 on the X3 production line completing November 2025, with 30,000+ vehicles supported, 90,000+ sheet-metal parts handled, 1,250+ operating hours and accuracy above 99% per Figure’s own newsroom disclosure (figure.ai/news/production-at-bmw). The BMW Spartanburg pilot is the worked example of humanoid-robot production-environment deployment at named-industrial scale — a meaningful credibility signal against the broader humanoid-cohort competitive frame. Distribution sits across two principal motions today: direct-industrial deployment via the BMW partnership and additional industrial pilots that Figure has signalled but not always individually disclosed, and the BotQ factory ramp that provides physical capacity for the broader deployment cycle. Brett Adcock has publicly signalled a consumer-pilot trajectory and a 2026–2027 IPO trajectory; neither has been individually disclosed in primary filings at time of writing.
Model Strategy
Figure AI is a Frontier-capability-first play under the IM Framework eight-trajectories taxonomy applied to robotics: the strategic bet is that general-purpose humanoid robots powered by an in-house vision-language-action foundation model (Helix) beat single-purpose industrial robotics on flexibility, deployment speed and addressable workflow breadth. The Helix VLA model went fully in-house following Figure’s exit from the OpenAI partnership in February 2025 — a deliberate vertical-integration choice that ties model development to Figure’s hardware platform and deployment data rather than relying on third-party foundation-model providers. Above the foundation-model layer, the Figure 02 hardware platform is the deployment surface; the BotQ factory is the production capacity surface; the BMW Spartanburg-class industrial reference customers are the commercial-validation surface; and the announced consumer-pilot trajectory is the long-horizon addressable-market expansion. The thesis depends on continued Frontier-capability progress in Helix specifically and in VLA model architectures generally — competitors that race the frontier on humanoid intelligence (Tesla Optimus on data-scale, Google Gemini Robotics on horizontal foundation models, Apptronik with Google partnership) are the principal capability-comparison set.
At A Glance
The Numbers
Annualised revenue
Units deployed
Headcount (FTE)
Funding to date
Leadership Team
Figure is founder-led with Brett Adcock as the principal public voice and strategic-narrative anchor. Senior recruiting has come from Tesla (Autopilot and Optimus alumni), Boston Dynamics, Apple and the broader robotics-and-AI ecosystem. The company is privately held with strategic-investor representation from a broad cohort (Microsoft, NVIDIA, OpenAI Startup Fund, Jeff Bezos, ARK Invest, Intel Capital, Parkway Venture Capital, T-Mobile Ventures, Brookfield Asset Management, T. Rowe Price, LG). CFO, CRO and CTO roles are not separately publicly named at time of writing; the executive bench has expanded materially through 2025 and 2026 alongside the BotQ ramp. Two prior leadership entries on this page were corrected at fact-check — Jerry Pratt (listed as Chief AI Officer) has departed Figure to co-found Persona AI per IEEE Spectrum, and Kyle Edelberg (listed as Chief Engineer) could not be verified in primary sources and the entry was removed.
IM Framework Scoring
IM’s structured assessment of Figure AI’s competitive position. The summary below is the headline; expand “Show the full analyst-grade analysis” near the bottom for the per-dimension reasoning and evidence. Methodology →
Funding History
| Date | Round | Raised | Post-money | Lead investor(s) |
|---|---|---|---|---|
| Sep 2025 | Series C | $1B+ | $39B | Parkway Venture Capital (with Brookfield, NVIDIA, Macquarie, Intel Capital, Align Ventures, Tamarack Global, LG Tech Ventures, Salesforce, T-Mobile Ventures, Qualcomm Ventures participating) |
| Feb 2024 | Series B | $675M | $2.6B | Microsoft, OpenAI Startup Fund, NVIDIA (syndicate including Jeff Bezos, Intel Capital, Parkway Venture Capital) |
| May 2023 | Series A | $70M | $500M | Parkway Venture Capital |
| 2022 | Seed | $100M | — | Brett Adcock (self-funded) |
Cumulative external capital approximately $1.9B disclosed through the September 2025 Series C, which exceeded $1B at a $39B post-money valuation. The Series C investor cohort builds on the February 2024 $675M Series B at $2.6B post-money (Microsoft, OpenAI Startup Fund and NVIDIA among leads) and the May 2023 $70M Series A at $500M led by Parkway Venture Capital. Brett Adcock’s self-funded $100M seed in 2022 anchored the founding cycle. The valuation step-up from $500M (May 2023) to $39B (September 2025) is a 78x mark-up over 28 months. Round-by-round figures from Figure’s own newsroom and named-press coverage at PR Newswire, TechCrunch and Intel Capital. Brett Adcock has publicly signalled a 2026–2027 IPO trajectory; no S-1 has been filed at time of writing. No further round announced beyond the September 2025 Series C; A12 audit June 2026 corrected an earlier tracker entry that ran cumulative to $2.4B by counting an unannounced follow-on.
Competitive Landscape
| Competitor | Positioning | Distribution edge | Threat profile |
|---|---|---|---|
| Optimus ((Tesla)) |
Tesla’s humanoid-robot programme (Optimus Gen 1 / Gen 2 onward) positioned as a vertically-integrated humanoid platform leveraging Tesla’s autonomy stack, manufacturing capacity and battery supply chain; the highest-profile US humanoid competitor at scale. | Direct Tesla manufacturing-and-deployment channel — planned internal deployment across Tesla factories first and external commercial channels later; Tesla’s manufacturing scale, vertical integration and Musk-brand distribution gravity are the unmatched moats. | High — structurally the largest end-to-end-learning humanoid competitor; Tesla’s data-scale advantage from 6M+ vehicles and an in-house manufacturing base define the principal competitive comparison frame against Figure. |
| Apptronik | Austin-based humanoid-robot company building the Apollo bipedal humanoid platform, positioned for industrial logistics and manufacturing deployments with a Google DeepMind AI-models partnership announced in 2025 and a Mercedes-Benz pilot reference. | Direct enterprise sales into industrial-logistics and automotive-manufacturing customers; Mercedes-Benz pilot, Google DeepMind model partnership and University of Texas engineering pipeline are the principal channel relationships. | High — Austin-based humanoid robotics with Apollo deployed to commercial customers; Google partnership for AI capabilities and strong industrial-deployment positioning. |
| 1X Technologies | Norwegian-American humanoid-robot company (OpenAI-backed) building the EVE wheeled humanoid and the NEO bipedal humanoid platform; positioned for in-home and light-commercial deployment with a consumer-pilot product line announced 2025. | Direct consumer pilots for NEO in-home deployments plus enterprise pilots for EVE; OpenAI strategic-investor relationship and a developing direct-to-consumer channel are the distribution motions. | High — Norwegian-founded humanoid play with NEO Beta consumer-home humanoid and EVE industrial humanoid; OpenAI Startup Fund-backed and aggressive consumer-pilot positioning. |
| Sanctuary AI | Vancouver-based humanoid-robot company building the Phoenix general-purpose humanoid; positioned with a cognitive-architecture-first technical pitch (Carbon AI control system) and pilot deployments in retail and manufacturing environments. | Direct enterprise pilot sales into Canadian and US retail and manufacturing customers (Mark’s, Magna); Canadian government research-funding relationships and a deep Vancouver AI talent base are the principal channel inputs. | Medium-high — Vancouver-based humanoid platform with Phoenix robot; competing on general-purpose humanoid capability in industrial deployments. |
| Chinese humanoid cohort (Unitree, Fourier Intelligence, UBTech, AgiBot) | The Chinese humanoid-robot cohort — Unitree (H1, G1), Fourier Intelligence (GR-1, GR-2), UBTech (Walker S) and AgiBot — positioned with aggressive cost-down pricing on consumer-and-research humanoid platforms, structurally undercutting Western incumbents on hardware price. | Direct Chinese domestic channel into research and industrial customers plus an export channel via Alibaba, JD.com and direct enterprise sales; Chinese supply-chain integration and government industrial-policy support are the structural moats. | High inside China, medium outside — rapidly developing humanoid platforms with cost-efficient manufacturing; Unitree G1 and AgiBot A2 are the most-watched competitive entries. |
Potential Risks
Commercial-deployment lag versus the valuation framing
Figure’s $39B Series C post-money valuation prices a credible bridge from research-and-prototype to production-and-revenue at scale. The BMW Spartanburg deployment is the headline validation but commercial-deployment revenue at the disclosed valuation framing remains structurally forward. Slippage on the BotQ ramp toward the stated 12,000-robot first-line capacity, on consumer-pilot timing, or on additional named-customer disclosures compresses the valuation-to-deployment bridge directly.
Tesla Optimus and the data-scale comparison
Tesla Optimus benefits from the in-house manufacturing base and the 6M+-vehicle data-collection fleet that anchors Tesla’s end-to-end-learning advantage. Figure’s Helix in-house VLA model and BMW Spartanburg deployment validation are the offsetting arguments but Tesla’s structural data-scale advantage on visual-language-action training data is the single largest comparative argument against Figure’s thesis. The pace of Optimus production ramp and consumer-deployment milestones is the most-watched competitive variable.
Helix VLA model capability gap
Figure brought Helix in-house after exiting the OpenAI partnership in February 2025. The bull case is that vertically-integrated VLA model development tied to Figure’s hardware and deployment data creates the defensible AI-and-robotics moat; the bear case is that horizontal foundation-model providers (Google Gemini Robotics, OpenAI VLA work) ship better out-of-the-box humanoid intelligence faster than Figure can scale Helix. The Helix capability gap relative to leading foundation labs is the most-watched technical-risk variable.
Chinese humanoid cost-efficiency flank
Chinese humanoid platforms (Unitree, AgiBot, Fourier Intelligence, UBTech) bring cost-efficient manufacturing scale and rapid product-development cycles. Geopolitical export-control and procurement-restriction dynamics partially insulate US and Western industrial customers from Chinese humanoid substitution, but the cost-efficiency competitive frame is real and the US–China humanoid manufacturing-cost gap will define the global competitive cadence through 2026 and beyond.
Supply-chain concentration and BotQ ramp execution
Figure’s BotQ factory ramp is the principal physical bottleneck on the valuation-to-deployment bridge. The factory output scaled from a handful of units per month in 2025 to ~60 in February 2026 and ~240 in April 2026 per Figure disclosures, with the first-line target of 12,000 robots per year scaling to 100,000 over four years. Supply-chain concentration on actuators, batteries, sensing and on-robot compute mirrors the broader humanoid-cohort dependence on specialised supply tiers; execution risk on the ramp toward the stated targets is the most-watched manufacturing variable.
Recent IM Coverage
- Defense AI — sector landing (robotics + autonomy cross-listing) May 2026.
- AI Tracker — methodology and universe May 2026.
Show recent press coverage of Figure AI
- Nov 2025 — F.02 contributed to the production of 30,000 cars at BMW — 11-month deployment retrospective (Figure)
- 2025 — BotQ: a high-volume manufacturing facility for humanoid robots (Figure)
- Sep 2025 — Figure Exceeds $1B in Series C Funding at $39B Post-Money Valuation (Intel Capital)
- Sep 2025 — Figure AI passes $1B with Series C funding toward humanoid robot development (The Robot Report)
- 2026 — Figure AI valuation, funding and news (Sacra)
- 2026 — Figure AI — Complete Profile and Analysis 2026 (Robotics Center)
- 2026 — The startup that wants to put a humanoid in every factory and maybe in every home (Robot Magazine)
Show the source register for the figures on this page
IM operates a primary-source-where-possible discipline. The figures above come from:
- Revenue: Figure AI does not publicly disclose annual revenue or ARR in primary sources. The principal commercial validation is the BMW Spartanburg X3-line deployment of Figure 02 (11 months completed November 2025; 30,000+ vehicles supported, 90,000+ sheet-metal parts handled, 1,250+ operating hours, accuracy above 99% per Figure’s own newsroom disclosure). Precise BMW contract value and broader commercial-revenue figures are not separately disclosed; we decline-to-publish a precise revenue figure pending primary disclosure.
- Production output: Figure’s BotQ factory is purpose-built with an initial design capacity of 12,000 humanoids per year scaling to 100,000 robots per year over four years per Figure’s BotQ newsroom announcement. Brett Adcock disclosed in March 2026 that the BotQ facility had boosted output from one robot per day to one robot per hour over a four-month period (a 24-fold increase) as it scales toward a 50,000-unit annual target. Precise unit pricing and customer commitment volumes are not separately disclosed in primary sources.
- Headcount: Figure AI does not publicly disclose precise headcount in a primary filing. Named-press coverage and the careers page place the company in the several-hundred-to-low-thousands range as of mid-2026, with material expansion through 2025 and 2026 alongside the BotQ factory ramp. We decline-to-publish a precise figure and reference the careers page as the canonical entry point.
- Funding to date: Cumulative external capital is approximately $1.9B disclosed through the September 2025 $1B+ Series C at $39B post-money valuation. The cohort built on the February 2024 $675M Series B at $2.6B post-money (Microsoft, NVIDIA, OpenAI Startup Fund among the named leads) and Brett Adcock’s $100M self-funded seed in 2022.
Methodology & Disclaimer
For metric definitions, source-tier hierarchy, and decline-to-publish rules, see the tracker methodology. Confidence dots (• green / • amber / • red) follow the same convention as the AI Tracker.
Spotted a figure you believe is wrong? Send corrections to info@informationmatters.net.
Information Matters Framework scores are the considered opinion of the IM team — human and AI — applied to publicly-available evidence under a disclosed methodology. They are not statements of fact about the companies scored and they are not investment advice.
