When a UK procurement team begins evaluating commercial humanoid robots for industrial or logistics deployment, Agility Robotics' Digit and the Figure AI platform are the two names that come up most consistently. Both have real-world deployment reference points. Both have attracted significant investment and serious commercial partners. Both operate on a model that means the customer pays for access rather than purchasing the hardware outright. Understanding the meaningful differences between them requires looking at design intent, deployment context, and the practical access situation for a UK buyer, not just comparing headline numbers.
This comparison is qualitative and based on publicly available information. Neither Agility Robotics nor Figure AI publishes detailed specifications or pricing in a form that allows side-by-side technical comparison of verified figures. Where data from reported sources is included, it is labelled accordingly.
Design intent
What each robot was built to do and why that matters
The most important difference between Digit and Figure's platform is not a specification: it is what the robot was designed for and how that shapes its practical capabilities.
Agility Digit: purpose-built for logistics
Digit was designed from the ground up for warehouse and logistics environments. The design decisions reflect this: Digit uses a reverse-knee leg structure, which differs from the anatomy-mimicking forward-knee bipedal design that most humanoid robots use. That design choice is a deliberate optimisation for warehouse floors, stable load-carrying, and the specific movement patterns required in a logistics environment. Digit's proportions and grip system were designed with standard logistics tote bins in mind.
This purpose-specific design gives Digit an advantage in logistics tasks: it is optimised for the environment in a way that a general-purpose humanoid is not. The cost of that specialisation is that Digit is less versatile outside its target environment. Deploying Digit for manufacturing assembly or domestic service tasks would require significant adaptation that was not part of the original design intent.
Figure's platform: designed for general-purpose industrial use
Figure AI's design intent is different. The stated goal is a robot that can perform a wide range of physical tasks in any environment built for human workers, without that environment needing to be adapted. Figure's platform uses a more conventionally humanoid form factor with forward-kneed bipedal locomotion, two arms, and dexterous hands designed for diverse manipulation tasks. The BMW manufacturing deployment, which involves multi-step assembly tasks rather than simple bin carrying, reflects this broader design ambition.
General-purpose design means Figure's platform is potentially more versatile across different industrial contexts. It also means it is harder to optimise for any single task to the degree that Digit has been optimised for logistics bin handling. For an operator deploying robots across different task types within the same facility, Figure's flexibility is an advantage. For an operator focused entirely on one specific logistics task, Digit's specialisation may deliver better performance for that task.
Deployment track record
Real-world deployment data for each platform
Agility Digit's Amazon deployment
Digit has been piloted in Amazon fulfilment centres. This represents real-world commercial deployment in one of the world's most demanding logistics environments, at scale, over a sustained period. The Amazon partnership has provided Agility with operational data that no other humanoid robot company has access to at the same scale. The deployment has informed subsequent versions of Digit's hardware and software.
Amazon has subsequently reduced the scope of its Digit trials, which has been reported in trade press. The reasons and implications of that are not fully publicly disclosed. The deployment data from the Amazon programme remains Digit's strongest commercial reference point, and Agility continues to offer Digit to logistics operators beyond Amazon.
Figure AI's BMW deployment
Figure AI has deployed its platform at a BMW manufacturing facility. This deployment involves factory assembly tasks, which is a different and in some ways more demanding context than logistics bin handling: the tasks require greater manipulation precision, component recognition, and handling of a wider variety of parts. The BMW deployment represents a credible commercial reference at a major manufacturer and provides Figure with real-world manufacturing data.
The specific operational metrics of the BMW deployment, such as throughput rates, error rates, and uptime figures, are not publicly disclosed by Figure or BMW in sufficient detail to draw strong quantitative conclusions. Trade press coverage of the partnership confirms the deployment is real and ongoing.
Pricing and access model
How the commercial terms compare
Both Agility Robotics and Figure AI operate on a Robot as a Service model rather than outright sale. This means the customer pays a usage fee, and the manufacturer retains hardware ownership and responsibility for maintenance and software updates. The specifics of these models differ between the two companies, but the structural similarity is significant: a UK buyer is entering a service contract, not purchasing a capital asset.
Pricing for Digit is not publicly listed. Reported figures for RaaS pricing have appeared in trade press for both companies but are not confirmed by either as their published rate cards. Comparing the two on price requires access to commercial proposal terms that are not in the public domain. Any UK buyer evaluating both should request commercial proposals directly and compare them on a like-for-like basis, accounting for the specific task type, scale, contract duration, and support terms.
For a detailed discussion of what RaaS contracts involve for UK buyers and what contract terms to scrutinise, see: Humanoid robot hire vs buy: the UK decision.
UK access and availability
The practical situation for UK buyers in 2026
Neither Agility Robotics nor Figure AI has an announced UK distribution arrangement, UK sales office, or UK deployment partner as of September 2026. Both are currently focused on commercial deployment in the United States. This is the most material practical constraint for a UK buyer considering either platform today.
UK access to either platform requires a direct commercial conversation with the manufacturer that goes beyond a standard procurement process. A UK organisation wanting to pilot either platform in the near term would need to approach both companies directly, make a compelling case for a UK pilot arrangement, and negotiate terms that include support and maintenance provision in the UK context.
This situation is expected to evolve over the 12 to 24 month horizon. As both companies expand their commercial footprint, UK and European market entry becomes more likely. The directory will document UK market entry announcements, distribution partnerships, and UK deployment case studies as they are confirmed.
For a comprehensive view of which platforms have any current UK access path, see: Humanoid robots available in the UK: 2026.
Which to consider for which use case
A practical framework for the choice
Based on the design intent, deployment data, and access situation described above, the practical guidance for a UK procurement team is as follows.
For logistics and warehouse operations where the core task is carrying and sorting standardised bins or totes, and where the buyer has the scale to justify a direct commercial engagement with a US manufacturer, Digit is the more specialised and better-evidenced platform for that specific task. Its deployment data is the deepest in the industry for logistics applications.
For manufacturing environments where the tasks are more varied and require greater dexterity and adaptability across different assembly steps, Figure's platform is designed for that context and has the BMW manufacturing reference to support it. For a buyer who expects to deploy robots across multiple different task types within the same facility, Figure's general-purpose design ambition makes it the more relevant candidate.
For both, UK procurement in the near term requires a direct commercial engagement rather than a standard channel purchase. Neither is a plug-and-play solution. Integration, health and safety compliance, worker consultation, and software adaptation are all requirements that add to the real cost and timeline of any deployment.
For guidance on the full range of commercial platforms available, see: Humanoid robot comparison 2026: how the main platforms differ. For background on the companies behind these platforms, see: List of humanoid robot companies 2026.
About this guide
Sources and currency
This comparison draws on publicly available information from Agility Robotics, Figure AI, and trade press reporting. Neither company publishes detailed specifications or pricing in a form that allows verified side-by-side comparison; this guide is therefore qualitative. Reported pricing figures from trade press are not confirmed by either company as their published rate cards and should not be used as the basis for financial planning without direct commercial proposals. This guide was last reviewed in September 2026. Write to hello@humanoidrobotdirectory.co.uk with corrections.
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Common questions
Common questions about Agility Digit vs Figure robot
What is the main difference between Agility Digit and Figure AI's robot?
The most important difference is design intent. Digit was purpose-built for warehouse and logistics environments, with a reverse-knee leg structure optimised for carrying standard logistics bins on warehouse floors. Figure's platform is designed for general-purpose industrial use across a range of manufacturing and logistics contexts, with a more conventionally humanoid form factor designed to work in spaces built for humans without modification. Digit is more specialised; Figure is designed to be more versatile.
Which of Agility Digit or Figure AI is better for UK warehouse deployment?
For warehouse and logistics operations where the core task is carrying standardised bins or totes, Digit has the deeper deployment reference data and was purpose-designed for that task. However, as of September 2026 neither platform has confirmed UK distribution, so UK access to either requires a direct commercial engagement with the manufacturer. The choice between them should also account for the specific task type, scale, and whether the operator expects to deploy robots across multiple different task types.
Do Agility Robotics and Figure AI publish their prices?
Neither Agility Robotics nor Figure AI publishes pricing publicly. Both operate on Robot as a Service models for their primary deployments. Pricing figures have appeared in trade press for both companies but are not confirmed by either as their published rate cards. UK buyers should request formal commercial proposals directly from each manufacturer and compare on a like-for-like basis, accounting for task type, scale, contract duration, and support terms.