From Demo to Factory Floor
Agility Digit’s Deployment at Toyota Canada
For years, the humanoid robotics industry has been defined by viral demo videos. We have seen robots perform backflips, dance to pop music, and gently place apples into baskets in pristine laboratory environments. But in logistics and manufacturing, the real flex isn’t a backflip—it is a purchase order.
In February 2026, Agility Robotics achieved one of the most significant commercial milestones in the sector’s history. Following a successful year-long pilot program, Toyota Motor Manufacturing Canada (TMMC) signed a commercial Robots-as-a-Service (RaaS) agreement to deploy Agility’s Digit humanoid robots on its factory floor.
This is no longer a proof-of-concept. It is a live, commercial deployment inside one of the most demanding manufacturing environments on earth. This case study examines the Toyota Canada deployment, the specific tasks Digit performs, and what it reveals about the commercial viability of humanoid robots.
The Toyota Canada Deployment: Inside the RAV4 Plant
Toyota Motor Manufacturing Canada is not a small-scale operation. It is Toyota’s largest manufacturing hub outside of Japan, employing over 8,500 people across assembly plants in Cambridge and Woodstock, Ontario. In 2025 alone, TMMC assembled more than 535,000 vehicles. The company recently announced a $1.1 billion investment to build the 6th generation RAV4 at these facilities.
Integrating unproven technology into a facility that produces a new vehicle every few seconds is an immense operational risk. To mitigate this, TMMC and Agility conducted a rigorous, year-long pilot involving three Digit robots. The pilot progressed through strict development, proof-of-technology, and onsite integration phases.
Having successfully passed Toyota’s legendary quality and efficiency standards, TMMC officially contracted seven additional Digit robots under a commercial RaaS model, bringing the initial fleet to ten units.
The Task: Tote Handling and Automated Tugger Integration
In the Woodstock facility, Digit is not building cars. It is performing the repetitive, physically taxing logistical work that keeps the assembly line moving. Specifically, the robots are tasked with loading and unloading heavy totes full of auto parts from an automated warehouse tugger.
This task is uniquely suited for a general-purpose humanoid. A traditional Autonomous Mobile Robot (AMR) can move the tugger across the factory floor, but it cannot reach into the tugger, grasp a tote, lift it, and place it onto a conveyor belt or shelving unit. A fixed robotic arm can move the totes, but it cannot walk across the factory floor to meet the tugger wherever it stops.
Digit bridges this gap. Standing at approximately 175 cm (5’9″) and weighing 42 kg (92 lbs), Digit features a 22-degree-of-freedom bipedal architecture. It can walk up to 5 km/h, navigate human-centric environments without requiring costly facility retrofits, and handle payloads up to 16 kg (35 lbs). By taking over the tote-handling process, Digit relieves human workers from a highly repetitive, ergonomically straining task, freeing them to perform higher-value work on the actual vehicle assembly line.
The 100,000 Tote Milestone: Proving Reliability at Scale
Toyota’s confidence in Agility Robotics did not emerge in a vacuum. It was heavily influenced by Digit’s track record at other Fortune 500 companies, most notably GXO Logistics.
In 2024, GXO became the first company in the world to deploy Digit commercially, placing the robot in a Spanx facility in Georgia. By November 2025, Agility announced a staggering milestone: Digit had successfully moved over 100,000 totes in live warehouse operations at GXO’s Flowery Branch facility.
This six-figure milestone is the dividing line between a science project and an industrial tool. Moving one tote is easy. Moving 100,000 totes requires a system capable of dynamic balancing while carrying varying payloads, vision accuracy that can reliably identify and grasp objects under changing lighting conditions, and a battery architecture that supports continuous operational shifts.
The table below illustrates how Digit’s deployments compare across major commercial partners in 2026:
|
Deployment Partner
|
Facility Type
|
Primary Task
|
Commercial Status
|
|
Toyota (TMMC)
|
Auto Manufacturing
|
Loading/unloading totes from automated tuggers
|
Active RaaS Contract (10 units)
|
|
GXO Logistics
|
3PL Fulfillment
|
Picking items from AMRs to conveyors
|
Active RaaS (100K+ totes moved)
|
|
Mercado Libre
|
E-commerce
|
Warehouse tote transport and sorting
|
Active Commercial Agreement
|
|
Schaeffler
|
Industrial Mfg
|
Machine tending and material transport
|
Active Commercial Agreement
|
|
Amazon
|
E-commerce
|
Tote recycling and empty tote consolidation
|
Advanced R&D Pilot
|
The Pilot Methodology: How Toyota Evaluated Digit
The year-long pilot at TMMC was not a simple “plug and play” exercise. It followed a structured three-phase methodology that offers a blueprint for how other manufacturers can evaluate humanoid technology.
The first phase, development, involved Agility engineers working closely with TMMC’s production team to map the facility, identify target tasks, and configure Digit’s AI policies for the specific tote-handling workflow. The second phase, proof-of-technology, placed three Digit robots on the factory floor in a controlled environment to validate performance metrics including cycle time, error rate, and uptime.
The third phase, onsite integration, embedded the robots into live production workflows, testing their ability to operate reliably alongside existing automation infrastructure such as AMRs and conveyor systems.
TMMC President Tim Hollander confirmed the rigor of this process, stating: “After evaluating a number of robots, we are excited to deploy Digit to improve the team member experience and further increase operational efficiency in our manufacturing facilities.” The fact that Toyota evaluated multiple humanoid platforms before selecting Digit underscores the competitive nature of the market and the importance of proven reliability over flashy demonstrations.
The RaaS Business Model: Lowering the Barrier to Entry
A critical component of the Toyota deployment is the financial structure. TMMC did not purchase the Digit robots outright; they deployed them under a Robots-as-a-Service (RaaS) agreement.
At a hardware cost of $150,000 to $250,000 per unit, purchasing a fleet of humanoids requires massive capital expenditure (CapEx). Furthermore, as Agility’s CTO Pras Velagapudi noted in a 2025 interview, “The cost of deployment can be more than the price of the robot by a lot.” Integrating the robot into proprietary warehouse management systems, mapping the facility, and training the AI policies are highly resource-intensive.
The RaaS model shifts this from CapEx to operating expenditure (OpEx). Toyota pays a recurring fee for the work performed by the robots, rather than buying the hardware. Agility maintains ownership of the robots, handles all maintenance, and manages the fleet via Agility Arc, its proprietary cloud-based software platform. This model de-risks the investment for Toyota while guaranteeing Agility a recurring revenue stream, establishing a blueprint for how humanoids will be monetized globally.
The Competitive Landscape: How Digit Compares
Agility Robotics is not operating in a vacuum. Several humanoid competitors are pursuing similar industrial deployments, each with different strategies and timelines. The table below provides a comparative snapshot of the leading commercial humanoid deployments as of early 2026:
|
Robot
|
Company
|
Key Deployment
|
Duration
|
Key Metric
|
Status
|
|
Digit
|
Agility Robotics
|
Toyota TMMC, GXO
|
12+ months
|
100,000+ totes
|
Active RaaS
|
|
Figure 02
|
Figure AI
|
BMW Spartanburg
|
10 months
|
90,000 parts
|
Active Pilot
|
|
Atlas
|
Boston Dynamics
|
Hyundai Motor
|
Ongoing
|
Undisclosed
|
Active Pilot
|
|
Apollo
|
Apptronik
|
Mercedes-Benz, GXO
|
6+ months
|
Undisclosed
|
Active Pilot
|
|
4NE-1
|
NEURA Robotics
|
Bosch
|
Ongoing
|
Undisclosed
|
Active Pilot
|
What separates Agility from the competition is the transition from pilot to purchase order. While Figure AI’s BMW deployment is impressive in scale, it remains classified as a pilot program. Agility’s Toyota deal is a binding commercial agreement with recurring revenue, making it arguably the most commercially advanced humanoid deployment in the world.
The Labor Shortage Context
The Toyota deployment does not exist in isolation from broader macroeconomic forces. According to the National Association of Manufacturers, 79 percent of manufacturers cite labor as their top operational barrier, and the sector faces a projected shortfall of 2.1 million unfilled jobs by 2030. TMMC, despite employing over 8,500 people and maintaining a strong reputation as an employer, is not immune to these pressures.
The tasks Digit is performing—loading and unloading heavy totes from automated tuggers—are precisely the kind of repetitive, ergonomically straining work that drives high turnover rates. By automating these tasks, TMMC is not replacing workers; it is redeploying them to higher-value positions on the assembly line where human judgment, dexterity, and problem-solving are irreplaceable. This “augmentation, not replacement” framing is critical for both public acceptance and union relations in the Canadian manufacturing sector.
Safety and Human-Robot Teaming
For major manufacturers, safety is the ultimate financial gatekeeper to automation investment. Current humanoid robots that are strong enough to lift heavy loads are generally considered too unpredictable to operate autonomously in close proximity to human workers. In the Woodstock facility, Digit operates in designated industrial zones, bridging automated production lines without humans in its immediate operational radius.
However, the next phase of the Toyota partnership aims to change this. Peggy Johnson, Agility Robotics’ CEO, stated that the next generation of Digit (expected in late 2026, featuring an increased 50-lb payload capacity) will be “the first cooperatively safe humanoid robot to work alongside people.”
Achieving cooperative safety requires a massive leap in AI-driven spatial awareness and compliance (the physical softness of the robot’s joints upon impact). If Agility can prove cooperative safety at TMMC, it will unlock the ability to scale humanoids out of isolated logistics zones and directly onto the human-dense assembly line.
Lessons for the Industry: What the Toyota Deal Proves
The TMMC deployment offers several critical lessons for the broader humanoid robotics industry. First, the year-long pilot methodology demonstrates that enterprise customers will not adopt humanoids based on demo videos alone. They require structured evaluation phases, proven reliability metrics, and seamless integration with existing automation infrastructure.
Second, the RaaS model is emerging as the dominant go-to-market strategy. By shifting the financial risk from the customer to the robotics provider, RaaS dramatically lowers the barrier to adoption and creates a scalable, recurring revenue model that investors can underwrite.
Third, the “augmentation” narrative is essential. Toyota’s framing of Digit as a tool to “improve the team member experience” rather than replace workers is not merely public relations—it reflects the genuine operational reality of 2026 humanoid deployments, where robots handle the drudge work while humans perform the skilled labor.
The End of the Demo Era
The Agility Digit deployment at Toyota Motor Manufacturing Canada represents a maturation point for the embodied AI industry. We have officially exited the demo era and entered the deployment era.
By successfully integrating into the production cycle of the RAV4, Digit has proven that humanoid robots can deliver reliable throughput, operate within existing infrastructure without retrofits, and generate tangible ROI through the RaaS model. As Ram Devarajulu of Cambridge Consultants observed at the 2025 Humanoids Summit: “When the tech companies spend real time in the field understanding the task that needs to be operated, the real workflows that happen… that’s when we will see a huge uptick in adoption.” Toyota’s purchase order is proof that the uptick has begun.