Research library · updated 2026-06-18 · public

Figure AI / Unitree Slide 11 packaging spec — deployment KPI vs cost-access curve

Date: 2026-06-18 Owner: Hugo / Genius Team Agent: Finance / Charlie AGT-002 Status: SYNTHESIS_CANDIDATE Visibility: PUBLIC Output target: slide 11 / /robotics/companies card module Public-safety: yes. No Hugo private portfolio data. No buy / sell / hold language. No external publishing action. Source discipline: 🟢 primary / 🟡 secondary / 🟠 estimate / 🔴 guess.

Related source files:

  • knowledge/robotics-figure-unitree-evidence-v1.md
  • knowledge/robotics-figure-unitree-warrior-brief-v1.md
  • knowledge/robotics-figure-unitree-source-to-slide-claim-control-2026-06-17.md
  • knowledge/robotics-tesla-figure-unitree-public-evidence-ledger-v1.md
  • knowledge/robotics-morning-review-evidence-upgrade-matrix-2026-06-18.md

0. One-line answer

截至 2026-06-18,Figure AI / Unitree 最适合在 slide 11 或 /robotics/companies 被压缩成一句话:Figure = deployment/manufacturing KPI curve;Unitree = cost-access/developer-platform curve。前者把 humanoid 从 demo 推到 named-customer quantified work;后者把 humanoid body 的实验门槛压到公开可购买价格带。但两者都仍缺 S5 scaled-commercial-economics proof:customer-confirmed ROI/payback、robot count by site、uptime/intervention distribution、repeat order、revenue、gross margin、warranty/support burden。🟢 Figure official posts dated 2025-11-19 / 2026-04-29 / 2026-05-26; 🟢 Unitree official product pages captured 2026-06-10; 🟠 Charlie synthesis as of 2026-06-18.

Slide-safe sentence:

Figure shows the stronger deployment KPI; Unitree shows the stronger cost-access KPI. Neither has yet shown the full economics chain.

Do not use:

Figure has proven humanoid commercialization; Unitree has proven low-cost humanoid adoption.

Reason: both sentences over-upgrade S3/S4 evidence into S5 economics. 🟢/🟠

1. Codex-ready slide module

Slide title

Tesla / Figure / Unitree: evidence curves, not one horse race

If slide 11 is only Figure vs Unitree, use:

Figure vs Unitree: deployment KPI vs cost-access curve

Subtitle

The useful comparison is not “who wins”; it is which bottleneck each company has made measurable.

Layout

Use two main cards plus one bottom guardrail strip.

CardHeader3 quantified anchorsEvidence gradeSignal labelRequired caveat
FigureDeployment + manufacturing KPIBMW: 11-month deployment; 10-hour weekday shifts; 90,000+ parts / 1,250+ runtime hours / 30,000+ X3 vehicles. BotQ: 350+ Figure 03 delivered; cadence 1/day -> 1/hour; EOL FPY >80% and battery-line FPY 99.3%. Catalyst: commercial agreement starting at Reno DLC.🟢 Figure official BMW post 2025-11-19; 🟢 BotQ post 2026-04-29; 🟢 Catalyst post 2026-05-26S4 deployment + manufacturing KPIMissing robot count by customer, contract value, customer ROI/payback, uptime/intervention distribution, repeat order, revenue/margin, service burden.
UnitreeCost-access + developer-platform KPIR1 AIR from US$4,900 / R1 from US$5,900; G1 from US$13.5K; H2 US$29,900. H2 Plus references NVIDIA Jetson T5000, FP4 2,070 TFLOPS, Isaac GR00T / TeleOp / Sim. G1-D describes data acquisition, labeling, data-asset management, model training and inference tools.🟢 Unitree R1/G1/H2/H2 Plus/G1-D official pages captured 2026-06-10S3/S4 cost-access + platform-enablement KPIMissing shipment scale by product line, industrial uptime, customer mix, gross margin, warranty/support cost, repeat orders, customer ROI.
GuardrailWhat neither provesS5 still needs accepted units, repeat deployment, customer-confirmed economics, low intervention, revenue, gross margin and service/warranty quality.🟢 absence in reviewed official sources; 🟠 classificationS5 evidence debtDo not infer failure from missing disclosure; infer only that public evidence is not yet enough for S5.

Visual recommendation

  • Use one axis label: “Evidence type,” not “leaderboard.”
  • Figure card color: deployment / factory KPI.
  • Unitree card color: cost / developer access.
  • Bottom footer must be visible, not hidden in notes.

Footer text:

Evidence map only. No winner ranking. No trade recommendation. Deployment KPI ≠ full economics; low price ≠ reliability or margin.

2. Public site card copy

Figure AI — strongest public deployment KPI in this pair

Figure’s public evidence is unusually concrete for a humanoid company. The BMW deployment disclosure says Figure 02 operated for 11 months on an active production line, ran 10-hour weekday shifts, loaded 90,000+ parts, accumulated 1,250+ runtime hours, and contributed to 30,000+ BMW X3 vehicles. BotQ adds manufacturing evidence: 350+ Figure 03 delivered, production cadence from 1/day to 1/hour, EOL first-pass yield above 80%, battery-line first-pass yield 99.3%, 500+ battery packs and 9,000+ actuators. 🟢 Figure official posts, 2025-11-19 and 2026-04-29.

Why it matters: this is stronger than a demo reel because it has duration, task count, named customer site and production-process metrics. 🟠 Charlie synthesis.

Boundary: it is still not S5 proof because public sources reviewed through 2026-06-18 do not disclose customer-confirmed ROI/payback, contract value, robot count at BMW/Catalyst, uptime/intervention distribution, repeat order, vendor gross margin or service burden. 🟢/🟠

Unitree / 宇树 — strongest public cost-access KPI in this pair

Unitree’s public evidence is different. Its official pages list R1 AIR from US$4,900, R1 from US$5,900, G1 from US$13.5K and H2 at US$29,900, tax/shipping excluded. H2 Plus references NVIDIA Jetson T5000, FP4 2,070 TFLOPS, Isaac GR00T, Isaac TeleOp and Isaac Sim; G1-D describes data acquisition, labeling, data-asset management, model training and inference tooling. 🟢 Unitree official product pages captured 2026-06-10.

Why it matters: low public price anchors and developer/data workflow pages can widen the experiment base for embodied AI and pressure the whole industry cost curve. 🟠 Charlie synthesis.

Boundary: low price does not prove industrial reliability, autonomy, shipment scale, gross margin, warranty/support economics, repeat orders or customer ROI. NVIDIA / Isaac alignment also does not prove Unitree captures the AI/model profit pool. 🟢/🟠

Correct public framing

Figure answers: can a humanoid produce measurable work in a bounded industrial setting? Current answer: S4 evidence, not S5 economics.

Unitree answers: can humanoid hardware become cheap and accessible enough to widen the experiment base? Current answer: S3/S4 evidence, not S5 economics.

The comparison is useful because the two curves test different bottlenecks. It is not a winner ranking. 🟠

3. Claim-control list

Claim Codex may useGradeAs-of dateMust citeMust not infer
Figure has stronger deployment KPI than Unitree in the reviewed public set.🟢/🟠2026-06-18BMW 2025-11-19, BotQ 2026-04-29, Catalyst 2026-05-26Not “Figure has proven scaled economics.”
Figure BMW metrics include 11 months, 10-hour weekday shifts, 90,000+ parts, 1,250+ runtime hours and 30,000+ X3 vehicles.🟢2025-11-19 post, reviewed 2026-06-18Figure official BMW postNot customer ROI, not contract value, not robot count.
Figure BotQ metrics include 350+ Figure 03 delivered, 1/day -> 1/hour cadence, >80% EOL FPY and 99.3% battery-line FPY.🟢2026-04-29 post, reviewed 2026-06-18Figure official BotQ postNot sell-through, not utilization, not margin.
Unitree has stronger cost-access KPI than Figure in the reviewed public set.🟢/🟠pages captured 2026-06-10, reviewed 2026-06-18Unitree R1/G1/H2 official pagesNot reliability, margin, adoption or ROI.
Unitree’s developer/data workflow surface is worth tracking.🟢/🟠pages captured 2026-06-10, reviewed 2026-06-18Unitree H2 Plus / G1-D pagesNot proof Unitree owns the AI software layer.
Neither company has public S5 scaled-commercial-economics proof in the reviewed source set.🟢/🟠2026-06-18Absence across reviewed official sources + prior claim-control artifactsNot proof of failure; only evidence insufficiency.

4. Signal vs noise

Signal:

  • Named customer + duration + task denominator: Figure BMW 11 months, 90,000+ parts, 1,250+ runtime hours. 🟢 / S4.
  • Production-process KPI: Figure BotQ 350+ robots, cadence, first-pass yield, battery and actuator counts. 🟢 / S4.
  • Named commercial expansion surface: Figure / Catalyst agreement starting at Reno DLC. 🟢 / S3/S4 until count/value/payback are disclosed.
  • Public humanoid price anchors: Unitree R1 / G1 / H2. 🟢 / S3/S4.
  • Developer/data stack surface: Unitree H2 Plus / G1-D. 🟢 / S3/S4.

Noise unless upgraded:

  • Viral videos without duration, repetitions, interventions or site context. 🔴/🟠.
  • Customer logos without robot count, contract value, task KPI or repeat deployment. 🟢/🟠.
  • Price/spec pages treated as reliability or margin proof. 🟢/🟠.
  • Production cadence treated as profitable utilized fleet. 🟢/🟠.
  • “winner” framing before S5 economics. 🟠.

5. Acceptance criteria for Codex packaging

Codex packaging is acceptable only if all are true:

  1. The slide/site module keeps Figure and Unitree as evidence-type comparison, not winner ranking.
  2. Every numeric claim includes source-grade marker and date anchor in speaker notes or visible source footer.
  3. The footer says no trade recommendation and warns that deployment KPI / low price are not full economics.
  4. The module excludes Hugo private portfolio data, private rationale, private channel checks, paid-report excerpts and supplier rumors.
  5. The Figure card does not say “customer ROI,” “profitable,” “scaled deployment,” or “S5” unless future primary/customer sources disclose the missing economics.
  6. The Unitree card does not say “shipment scale,” “industrial adoption,” “high margin,” or “reliable paid deployment” unless future primary/customer sources disclose those data.

6. What would change this artifact

Upgrade Figure if public sources disclose at least 3 together: robot count by customer/site, paid contract value or revenue/backlog, repeat order or multi-site expansion, customer-confirmed ROI/payback, uptime/intervention/safety distribution, revenue/gross margin/service burden. 🟢/🟡 needed.

Upgrade Unitree if public sources disclose at least 3 together: humanoid shipments by product line, industrial customer mix, deployment runtime/uptime/intervention, repeat orders, product gross margin, warranty/support cost, paid software/data/tooling revenue. 🟢/🟡 needed.

Downgrade Figure if BMW remains a showcase, Catalyst remains terms-undisclosed, or BotQ output rises without field utilization and repeat-customer evidence. 🟠.

Downgrade Unitree if low-cost humanoids expand demos but not paid reliable deployments, or if support/warranty costs overwhelm low ASP hardware economics. 🟢/🟡/🟠.

7. Source list

Figure AI:

Unitree / 宇树:

Internal synthesis / claim-control:

  • knowledge/robotics-figure-unitree-evidence-v1.md 🟠
  • knowledge/robotics-figure-unitree-warrior-brief-v1.md 🟠
  • knowledge/robotics-figure-unitree-source-to-slide-claim-control-2026-06-17.md 🟠
  • Charlie packaging spec synthesis, 2026-06-18. 🟠

8. Public-safe flag

Public-safe as evidence map / packaging spec.

Exclude:

  • Hugo private portfolio data, position weights, watchlist sizing, entry/exit logic or private rationale.
  • Any buy / sell / hold language.
  • Private channel checks, paid-report excerpts, unverified supplier/customer rumors.
  • Any claim that Figure has proven scaled economics.
  • Any claim that Unitree low price proves reliability, shipment scale, margin or ROI.