Maximo Robotics Surpasses 300,000 Construction Tasks with Physical-AI in Utility-Scale Solar
Maximo Robotics Surpasses 300,000 Construction Tasks with Physical-AI in Utility-Scale Solar
Maximo Robotics, a physical-AI platform company, announced that its U.S.-made robotics systems have completed over 300,000 construction tasks under performance-based robotics-as-a-service contracts. The Max 4.0 system achieves 2.5 times the manual installation rate per worker per shift hour, supporting 1.5 GW of solar installation. The company's closed-loop learning platform integrates AI models, robotics hardware, and operational intelligence, enabling autonomous solar module placement and scalable deployment across construction domains.
Source: Robotics — Web news discovery · Read original article ↗
Article text · Original source · English
Updated Thu, October 29, 2026 at 12:03 PM UTC
Newly released Max 4.0 delivers crew productivity gains of 2.5 times manual, driving demand for an additional 3 million construction tasks in 2027 delivering 1.5 GW of solar installation at named projects
ARLINGTON, Va., Oct. 29, 2026 /PRNewswire/ -- Maximo Robotics, a physical-AI platform company focused on autonomous construction robotics, today announced that its U.S.-made robotics systems have completed more than 300,000 construction tasks under performance-based robotics-as-a-service contracts. Crew members working alongside Max 4.0 systems have delivered 2.5 times their manual installation rates per person per shift hour. This improved productivity is helping electricity companies meet skyrocketing demand for energy in a labor-constrained construction market, which could see a shortfall of more than 450,000 jobs in the United States by 2027 according to a recent study by the Associated Builders and Contractors1.
Maximo Robotics operates under a performance-based robotics-as-a-service model in which customers pay per task completed. With more than 300,000 tasks delivered and a 10x late-stage pipeline lined up for 2027, the company is building one of the largest deployed physical-AI platforms for autonomous construction and critical infrastructure projects in North America. Current projects span six large Engineering, Procurement, and Construction (EPC) contractors, multiple project owners, and sites across California, Illinois, Kansas, Louisiana, New York, Texas, and Washington—positioning Maximo Robotics to build one of North America's largest deployed physical-AI construction platforms.
One such EPC, Primoris Services Corporation's Renewables business, played an active role in advancing Maximo's use in utility-scale solar construction, integrating the technology into field operations and helping prove its capabilities at scale.
"The future of solar construction depends on bringing together the experience of our people and new technology," said Matt Tetrault, President of Primoris' Renewables business. "Close collaboration between our craft professionals, project leadership, and the Maximo team has allowed for the refinement and advancement of the technology in real time, turning field experience into practical improvements in installation performance, safety, and workflow integration."
EPC customers pay per task completed, tying Maximo Robotics revenue directly to installation throughput. Tasks completed to date include the autonomous, millimeter-precision placement of heavy utility-scale solar modules, with contract expansion options including module attachment and field logistics.
"Construction customers depend on safe, productive crews and dependable execution for their clients," said Chris Shelton, CEO of Maximo Robotics. "Utility-scale solar has been a great starting point for our physical-AI solutions where customers can measure the results in demanding field conditions alongside professional construction crew members for a joint outcome. We are now focused on expanding deployments, improving end-to-end service dependability, and extending our offerings in solar and into adjacent construction domains."
Max 4.0: An Integrated Physical-AI Platform Built for Construction
Developed through years of real-world experience, Max 4.0 combines proprietary AI models, robotics hardware and operational intelligence into a closed-loop learning system. Every completed task generates proprietary deployment data that improves future deployments, creating a growing data and performance advantage across the platform.
Cortex: Vision and planning models for construction tasks and mobility, purpose-built for physical-AI applications in construction. These models enable robots to perceive, plan, and act in dynamic field environments and represent the intelligence layer of Maximo's autonomous robotics platform.
Form: A growing family of fit-for-purpose robotics and tooling, engineered for demanding construction environments, including extended, multi-shift operation, where we integrate Cortex models, and,
IQ: A service performance management platform with a continuous training loop for Cortex, providing fleet intelligence, deployment analytics and operational feedback loops that improve system performance over time.
Together, these proprietary components create an autonomous robotics platform that brings factory-like production management, industrial AI, and scalable automation to construction environments. This architecture is designed to enable Maximo Robotics to expand from individual construction tasks in solar today into broader domains with similar needs in pick and place, feeding and attaching, site logistics, and clean up.
About Maximo Robotics, LLC
Maximo Robotics is a physical-AI platform for construction. By combining autonomous robotics, AI-powered perception and planning, and fleet-scale operational intelligence, the company enables customers to deliver critical infrastructure projects more safely, productively, and predictably. Proven through more than 300,000 completed construction tasks in utility-scale solar, Maximo Robotics is creating a scalable foundation for autonomous tasks across the broader construction industry. Learn more: https://maxrobotics.ai/.
Media Contact: [email protected]
1 https://www.abc.org/News-Media/News-Releases/abc-construction-industry-must-attract-349000-workers-in-2026-despite-macroeconomic-headwinds
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SOURCE Maximo Robotics
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
construction tasks
300,000
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Maximo Robotics Surpasses 300,000 Construction Tasks with Physical-AI in Utility-Scale Solar
Open source S1construction tasks
>300,000
View original evidence
shortfall of more than 450,000 jobs in the United States by 2027 according to a recent study by the Associated Builders and Contractors1. Maximo Robotics operates under a performance-based robotics-as-a-service model in which customers pay per task completed. With more than 300,000 tasks delivered and a 10x late-stage pipeline lined up for 2027, the company is building one of the largest deployed physical-AI platform
Open source S4construction tasks
3,000,000
View original evidence
Updated Thu, October 29, 2026 at 12:03 PM UTC Newly released Max 4.0 delivers crew productivity gains of 2.5 times manual, driving demand for an additional 3 million construction tasks in 2027 delivering 1.5 GW of solar installation at named projects ARLINGTON, Va., Oct. 29, 2026 /PRNewswire/ -- Maximo Robotics, a physical-AI platform company focused on autonomous construction robotics, today announced that its U.S.-
Open source S2construction tasks
>300,000
View original evidence
productively, and predictably. Proven through more than 300,000 completed construction tasks in utility-scale solar, Maximo Robotics is creating a scalable foundation for autonomous tasks across the broader construction industry. Learn more: https://maxrobotics.ai/. Media Contact: [email protected] 1 https://www.abc.org/News-Media/News-Releases/abc-construction-industry-must-attract-349000-workers-in-2026-de
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shortfall of more than 450,000 jobs in the United States by 2027 according to a recent study by the Associated Builders and Contractors1. Maximo Robotics operates under a performance-based robotics-as-a-service model in which customers pay per task completed. With more than 300,000 tasks delivered and a 10x late-stage pipeline lined up for 2027, the company is building one of the largest deployed physical-AI platform
Open source S4
Maximo Robotics Surpasses 300,000 Construction Tasks with Physical-AI in Utility-Scale Solar
Open source S1
Updated Thu, October 29, 2026 at 12:03 PM UTC Newly released Max 4.0 delivers crew productivity gains of 2.5 times manual, driving demand for an additional 3 million construction tasks in 2027 delivering 1.5 GW of solar installation at named projects ARLINGTON, Va., Oct. 29, 2026 /PRNewswire/ -- Maximo Robotics, a physical-AI platform company focused on autonomous construction robotics, today announced that its U.S.-
Open source S2
laboration between our craft professionals, project leadership, and the Maximo team has allowed for the refinement and advancement of the technology in real time, turning field experience into practical improvements in installation performance, safety, and workflow integration." EPC customers pay per task completed, tying Maximo Robotics revenue directly to installation throughput. Tasks completed to date include the
Open source S7
productively, and predictably. Proven through more than 300,000 completed construction tasks in utility-scale solar, Maximo Robotics is creating a scalable foundation for autonomous tasks across the broader construction industry. Learn more: https://maxrobotics.ai/. Media Contact: [email protected] 1 https://www.abc.org/News-Media/News-Releases/abc-construction-industry-must-attract-349000-workers-in-2026-de
Open source S14
tasks in solar today into broader domains with similar needs in pick and place, feeding and attaching, site logistics, and clean up. About Maximo Robotics, LLC Maximo Robotics is a physical-AI platform for construction. By combining autonomous robotics, AI-powered perception and planning, and fleet-scale operational intelligence, the company enables customers to deliver critical infrastructure projects more safely,
Open source S13
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