Assess a humanoid-robot company by the evidence that connects a robot to repeatable customer output—not by the size of a projected market. Verify the customer and contract, observe productive operation in the intended workplace, model the customer’s fully loaded economics, and test whether the company can manufacture and service the fleet it promises. Treat order books, demonstrations, unit-economics slides and factory plans as claims or scenarios until contracts, operating data and delivered hardware support them.
Why a market forecast is a weak starting point
A market-size forecast describes a possible future market. It does not show that a particular vendor has a paying customer, a robot that works for a full shift, or a business model that earns an acceptable return. Forecasts can be useful as scenario inputs—for example, when estimating how many warehouses might eventually adopt mobile manipulators—but they cannot substitute for customer-level evidence.
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Humanoid robotics is especially vulnerable to this confusion because a single platform may be marketed for logistics, manufacturing, retail, healthcare or household work. Those environments have different safety rules, task speeds, layouts, labor costs and tolerance for human assistance. A company that proves a narrow, structured material-handling task has not thereby proved a general-purpose robot or an attractive home-robot business.
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- Commercial proof: identify who is using the robot, where, for what task, under which contract and for how long.
- Product performance and operations: measure completed work, productive hours, uptime, interventions, recovery and maintenance in the customer’s environment.
- Economics: calculate the customer’s total cost and benefit separately from the vendor’s cost and margin potential.
- Scale and supply chain: determine whether components, factories and service operations can support the promised volume, quality and price.
Every important statement should also carry an evidence label: independently verified, company-reported, projected or unknown. That discipline prevents an attractive presentation from being mistaken for an operating result.
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1. Establish what “commercial” actually means
Companies use words such as customer, order, deployment and partnership for different stages of commitment. Record the stage precisely rather than assigning all of them the same value.
The evidence ladder
| Stage | What it demonstrates | What it does not demonstrate |
|---|---|---|
| Laboratory demonstration | Researchers can perform a task under selected conditions. | Customer-site reliability, safety in normal work practices, service cost or economic value. |
| Paid or unpaid pilot | A customer is willing to test a defined use case. | That the task will run at production volume or that the customer will renew. |
| Committed facility deployment | A site, quantity and schedule have been specified, often with acceptance conditions. | Delivery, commissioning, sustained uptime or recognized revenue until those events occur. |
| Installation | Hardware has arrived and been placed at the site. | Useful autonomous work, high utilization or repeat orders. |
| Operating fleet | Multiple robots are performing a defined job over a stated period. | Profitability, scalability to other sites or low intervention unless those metrics are disclosed. |
| Repeat order | A customer has chosen to expand or buy again. | That the vendor’s fleet economics are attractive across all customers. |
| Recognized revenue | Accounting records show revenue under the applicable contract rules. | Cash profitability, future demand or a successful deployment if returns and service obligations remain. |
For each claimed customer, write down the customer name, use case, site and geography, robot count, contract type, term, deployment status and acceptance criteria. Ask whether the customer owns the robots, leases them, pays per robot-month or pays for an outcome. A press release that omits these details should receive a lower evidence score than a site-level operating report.
How to read a large order figure
Agility Robotics’ 2026 Analyst & Investor Day presentation provides a useful example of the distinction. It reported more than $300 million in Digit 5 customer orders as of May 2026, associated with 1,000 robots under a three-year robotics-as-a-service (RaaS) contract. The presentation described that amount as potential multi-year value subject to contractual milestones, not current-period revenue, and stated that the orders may not convert into revenue. The correct interpretation is a significant commercial commitment claim—not proof that 1,000 productive robots are operating or that the vendor has earned $300 million.
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Request the underlying contract structure: minimum quantities, delivery windows, cancellation rights, performance guarantees, customer deposits, acceptance tests and the portion already invoiced. Separate a non-binding memorandum, a conditional purchase order and a signed, funded order with an enforceable delivery obligation.
2. Test whether the robot produces useful work
A video can show that a robot completed one sequence. Commercial value depends on how often it completes the correct sequence, how much human labor it requires and how it behaves when the environment is imperfect.
Metrics to request
- Task completion rate: successful cycles divided by attempted cycles, with the task definition and exclusion rules.
- Productive hours: time spent delivering the customer’s intended output, excluding charging, calibration, waiting and remote recovery.
- Uptime and availability: distinguish scheduled availability from actual operating time; state the measurement period and whether planned maintenance is excluded.
- Human intervention: interventions per hour or per cycle, intervention duration, remote versus on-site assistance and the percentage requiring a technician.
- Recovery behavior: how the system detects a failure, returns to a safe state, resumes work and records the cause.
- Maintenance: preventive-maintenance intervals, mean time to repair, parts replaced, technician skills and service travel time.
- Quality and throughput: error rate, damage rate, cycle time and output compared with the customer’s existing process.
- Integration effort: facility changes, workflow redesign, software integration, training and the customer personnel required to supervise the fleet.
- Safety events: near misses, stops, contact events, restricted zones and changes made after incidents.
Insist on the operating conditions: shift length, task mix, lighting, floor condition, payload, speed limits, network connectivity and the number of consecutive days. A percentage without its denominator or test window is not a useful comparison.
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Use pilots as evidence, not as proof of maturity
A 2024 analysis of 12 humanoid companies treats pilots, operations and maintenance as important indicators of maturity, alongside the company’s market approach. That is a sensible standard: a pilot reveals integration friction and failure modes that a staged demonstration hides. It still remains a pilot until the customer confirms production use, repeatability and an acceptable cost.
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3. Separate customer economics from vendor economics
A robot can create value for a customer while being unprofitable for its manufacturer, or be inexpensive to build while failing to save the customer money. Build two models with different inputs.
Customer total-cost model
| Cost or benefit | Questions to answer |
|---|---|
| Acquisition | Is the robot purchased, financed, leased or charged per month or per task? |
| Deployment | What are installation, facility modification, network, charging and commissioning costs? |
| Integration | How much engineering, workflow redesign, software integration and training are required? |
| Operations | What labor supervises, loads, unloads, recovers and schedules the robot? |
| Maintenance | What are service contracts, consumables, replacement parts, travel and downtime costs? |
| Financing and insurance | Who bears interest, insurance, damage and liability costs? |
| Useful life and residual value | What life is supported by evidence, and what happens when batteries, actuators or sensors reach end of life? |
| Benefit | How many paid labor hours, errors, injuries, delays or units of throughput are actually avoided or added? |
Calculate value at achievable utilization, not at 24-hour theoretical operation. Include charging, blocked aisles, replenishment, safety stops, software outages and the time a human spends resolving exceptions. Test conservative, expected and optimistic cases, and identify the utilization at which the investment breaks even.
Vendor unit economics
For the manufacturer or RaaS provider, model hardware bill of materials (BOM), assembly labor, factory overhead, shipping, commissioning, software, cloud costs, field service, warranty reserves, financing and fleet replacement. A subscription can shift revenue recognition and cash timing; it does not remove the cost of building and servicing the robot.
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RaaS, purchase and ownership are different propositions
- Purchase: the customer commits capital and usually carries more utilization, maintenance and residual-value risk.
- RaaS: the provider retains more asset and performance risk, while the customer pays recurring fees; contract uptime guarantees and termination rights become decisive.
- Managed ownership or outcome pricing: the provider may bundle labor, software and service, making the per-task price easy to compare with an existing process but harder to analyze without a transparent cost breakdown.
Do not compare a robot’s purchase price with a RaaS monthly fee without normalizing financing, service, downtime, useful life and residual value.
4. Examine manufacturing and supply-chain reality
Planned factory capacity is a design intention, not achieved annual output. Ask for production completed, first-pass yield, acceptance rate, rework, lead time, field failure rate and the number of trained service technicians. A company that can assemble a prototype may still lack the purchasing power and quality system needed for thousands of reliable units.
Where cost and availability concentrate
McKinsey & Company’s analysis dated April 17, 2026 estimates that actuators represent 40–60% of a humanoid robot’s BOM, sensing and perception 10–20%, compute and control 10–15%, structural components 5–10% and battery modules 5–10%. These are estimated hardware-stack ranges, not a vendor-specific audited BOM. They show why an apparently small improvement in actuator price, yield or service life can dominate total economics.
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- single-source or dual-source exposure for actuators, gearboxes, motors, sensors, batteries and custom electronics;
- supplier lead times, minimum order quantities and allocation risk during industry-wide demand spikes;
- manufacturing yield, calibration time and end-of-line testing;
- design changes that require new tooling or invalidate existing inventory;
- field-replaceable modules, spare-parts stocking and repair turnaround;
- quality traceability from component serial number to robot and service event; and
- the capital needed for tooling, inventory, factories and customer-site support.
Supply-chain maturity also affects safety. A substitute actuator, battery cell or sensor may change braking, thermal behavior or perception performance. Require change-control procedures and revalidation, not merely a statement that a second supplier exists.
5. Treat safety as a system requirement
Humanoid robots share spaces with people, so safety is more than collision detection. Evaluate detection latency, stopping distance, force and speed limits, predictable motion, fail-safe behavior, cybersecurity of remote control, training, site layout and emergency procedures. Ask which standards and certification activities apply in the deployment’s country and industry, and what remains the customer’s responsibility.
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Agility’s October 6, 2026 presentation says, “We believe cooperative safety is a system-wide integration.” That wording points to the right question: how do robot controls, software, facility safeguards, work instructions and human behavior operate together? A barrier-free demonstration is not evidence that a production site can safely manage charging, pedestrian crossings, dropped objects, network loss or a robot that requires recovery.
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Request incident and near-miss data, hazard analyses, validation conditions and stop-rate trends. A company should explain not only how the robot avoids contact, but also how it limits consequences when perception fails or the environment changes.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.6. Compare companies on identical axes
Do not rank one company by its order value, another by a demo video and a third by a factory announcement. Use one worksheet and mark the evidence status for every cell.
| Axis | Record | Evidence label |
|---|---|---|
| Target task and customer | Specific job, site type, customer identity, geography and labor process. | Verified, company-reported or unknown. |
| Commercial stage | Pilot, committed deployment, installation, operating fleet, repeat order or recognized revenue. | Contract or accounting evidence versus announcement. |
| Autonomy burden | Interventions per hour, remote-operator ratio and recovery time. | Measured in customer conditions, company test or unknown. |
| Productive operation | Task completion, throughput, scheduled availability, productive uptime and maintenance. | Time window, denominator and exclusions required. |
| Safety | Hazard analysis, certification, incident record, stop behavior and site controls. | Independent assessment, company documentation or claim. |
| Customer ROI | Fully loaded cost, avoided labor or added throughput, payback and sensitivity to utilization. | Customer result, audited data, illustrative model or unknown. |
| Vendor unit economics | BOM, service cost, warranty, gross margin, financing and replacement cycle. | Actual result, target or scenario. |
| Manufacturing | Units built, yield, acceptance rate, capacity, lead times and quality controls. | Delivered production versus planned capacity. |
| Supplier maturity | Source concentration, custom parts, spares, repair network and change control. | Documented supply chain or assertion. |
| Capital and financing | Cash required for tooling, inventory, deployment and RaaS fleet ownership. | Balance-sheet evidence, funding plan or projection. |
| Roadmap credibility | What is deployed now, what is announced, dependencies and dates. | Current product, planned capability or aspirational target. |
The 2024 analysis of 12 companies compares maturity and market approach; use those dimensions alongside operations, maintenance and pilots rather than treating a single maturity label as a verdict. McKinsey’s commercialization lenses—cost reduction, dexterity and mobility, sustained uptime, safety and supply-chain maturity—help expose gaps that a market-share forecast cannot.
7. Use Agility’s public materials as a diligence example
Agility Robotics’ investor page for October 6, 2026 says the company starts with structured industrial environments and names relationships including Toyota, Amazon, Mercado Libre and GXO. Those names establish disclosed relationships; they do not, by themselves, establish the number of operating robots, production throughput, repeat orders or customer profitability at each site.
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The accompanying presentation characterizes Digit v4 as deployed and Digit v5 as planned. It presents management comparisons for payload, charge ratio, battery output and reach. Because the v5 figures are planned capabilities and the presentation is management material, record them as company-reported expectations rather than independent comparative test results. Ask for the same metrics from v4 in customer operations and for v5 acceptance criteria after delivery.
This example illustrates a broader rule: use a company’s own documents to generate verification questions, not to fill unknown cells with optimistic assumptions. A named customer, an order total, a product roadmap and a safety statement each answer a different question.
8. A practical diligence process
- Define the job. Write the exact task, object, payload, cycle, shift and environment. Reject “general-purpose” as a sufficient use case.
- Classify every claim. Tag each figure as independently verified, company-reported, projected or unknown, and attach its date, geography and measurement conditions.
- Verify the customer relationship. Obtain the site, contract form, quantity, term, acceptance test, payment status and deployment status.
- Observe a representative run. Watch consecutive shifts or request logs that include failures, interventions, charging and maintenance—not only selected successful cycles.
- Normalize performance. Use common definitions for uptime, productive hours, intervention, completion and downtime across vendors.
- Build both economic models. Calculate customer payback and vendor contribution margin with conservative utilization, service and replacement assumptions.
- Audit the supply chain. Trace critical components, sources, lead times, yields, quality controls, spares and repair capability.
- Review safety evidence. Match hazards, controls, certification and work practices to the actual site and jurisdiction.
- Stress-test the roadmap. List dependencies for each planned capability—new actuators, batteries, software, factory capacity, financing or certification—and assign a consequence if it slips.
- Score unknowns explicitly. An unanswered question is not neutral evidence. Keep it visible and lower confidence until documented.
9. Common interpretation errors
Counting an order as revenue
An order may be conditional, multi-year or subject to delivery milestones. Revenue is recognized under accounting rules when the relevant obligations are satisfied; the order value is not a substitute for that record.
Equating a demonstration with uptime
A successful clip says little about recovery, maintenance or repeated work. Require a time series with the denominator, exclusions and human-support burden.
Accepting illustrative unit economics as historical performance
Scenario models depend on assumptions about BOM declines, useful life, utilization, service and scale. Change each assumption and identify the break-even point instead of quoting the headline case.
Using planned capacity as output
A factory blueprint does not establish units built, yield, acceptance quality or customer delivery. Ask for production records and field-service capacity.
Ignoring the task boundary
Structured industrial work may be a rational entry point because the environment can be engineered. It does not prove that the same hardware and economics transfer to homes, hospitals or public spaces.
Comparing incomparable business models
Normalize purchase, RaaS and outcome contracts for financing, service, downtime, useful life, residual value and who supplies human supervision.
What a high-confidence case looks like
The strongest case is cumulative rather than spectacular: a named customer pays for a defined task; robots operate at that site for a meaningful period; logs show useful output, high availability and bounded intervention; safety controls are documented; the customer can explain its return after all costs; and the vendor can build, repair and finance additional units with evidence of quality and supply.
Market forecasts can then help size the opportunity around that demonstrated wedge. They should come last in the analysis, after the company has shown that its robot works, earns or saves money, and can be delivered repeatedly.
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