Maximo Robotics says its machines have now completed more than 300,000 construction tasks, a count built from the autonomous placement of heavy utility-scale solar modules on sites in seven states. The Arlington, Virginia, company announced the figure on Oct. 29, 2026, and trade coverage ran through the first days of November. The robots descend from the line AES introduced in 2024 as an AI-enabled solar installation robot.
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The number arrives with caveats attached. Maximo’s release does not define what counts as a task, and it does not say over what period the 300,000 accumulated. Every figure in this article is company-reported.
Billing by the completed task
Maximo sells its work under performance-based robotics-as-a-service contracts, and customers pay for each completed task rather than for the hardware. In the company release carried by Industrial AI Technology, the robots place solar modules autonomously with what Maximo calls millimetre precision, and contract options extend to attaching modules and moving materials around the field. Electrek reported the milestone on Nov. 3, describing the 300,000 figure as the company’s own count and the system as physical AI built on NVIDIA hardware. Because revenue tracks completed tasks, the total doubles as a rough measure of how much billable work the fleet has done.
Maximo reports working with six large engineering, procurement and construction contractors plus several project owners. Sites named in the release are in California, Illinois, Kansas, Louisiana, New York, Texas and Washington. Robotics and Automation News, which summarised the same announcement on Oct. 30, adds that the company claims a tenfold late-stage pipeline for 2027, a forward-looking statement with no independent check attached.
Bellefield and the 100 MW fleet
The clearest field record is at Bellefield in Kern County, California. In a March 25, 2026 release, Maximo, a company incubated by The AES Corporation, said it had installed 100 MW of utility-scale solar at AES’s Bellefield complex. The project grew from a single robot to a coordinated fleet of four units working in parallel alongside skilled union technicians.
That timeline ran behind the plan. AES’s July 2024 launch announcement said Maximo had installed nearly 10 MW and projected 100 MW by 2025; the 100 MW mark was announced in March 2026. The same 2024 release said AES expected to use Maximo on up to 5 GW of its solar backlog and pipeline over three years, and claimed the robot could install panels in half the time and for half the cost. AES chief executive Andrés Gluski called Maximo the first proven solar installation robot on the market, a label AES applied to its own product.
Electrek notes that Bellefield is set to eventually reach over a GW of generating capacity and that the first half of the complex was finished in the summer of 2025. AES’s 2024 release described the project as a 2 GW solar-plus-storage build under contract with Amazon. The two accounts of total size differ, so 100 MW is best read as a slice of a much larger build rather than a completed site.
Version 3.0 rates and the Max 4.0 claim
Per the March release, Version 3.0 units consistently exceeded one module per minute in technical performance, and crews installed up to 24 modules per shift hour per person, which Maximo says is nearly double traditional methods at similar sites in Southern California. Electrek repeats the 24-per-hour figure for crews working with Version 3.0 robots. The release credits NVIDIA’s AI infrastructure, Omniverse libraries and Isaac Sim simulation framework for developing and testing robot behavior before field updates, and Amazon Web Services for data collection and real-time construction analytics. It also expects the U.S. to deploy hundreds of gigawatts of new solar this decade, the demand the robots are built to serve.
Max 4.0 raises the claim. Maximo says crews using it install at 2.5 times manual rates per person per shift hour, and the release does not explain the baseline or how the measurement was taken. The system has three parts: Cortex, the vision and planning models for construction tasks and mobility; Form, a family of robotics hardware and tooling built for harsh conditions and multi-shift operation; and IQ, a service management platform that feeds fleet analytics back into Cortex training. Each completed task generates data meant to improve later deployments, which is why the task count matters to the company’s pitch.
Primoris, the labor gap and the open questions
Matt Tetrault, president of Primoris’ Renewables business, said in the release that the future of solar construction depends on combining the experience of Primoris crews with new technology. Primoris helped integrate the robots into field operations. Maximo CEO Chris Shelton described utility-scale solar as a strong starting point for the company’s physical-AI work, with pick and place, feeding and attaching, site logistics and cleanup named as the next tasks.
Robotics and Automation News cites an Associated Builders and Contractors projection of a shortfall of more than 450,000 U.S. construction jobs by 2027 as the labor backdrop. Whether 300,000 tasks and a 2.5-times productivity claim hold up outside company materials is still unanswered: Maximo has published no third-party audit of either number.
This article was produced with the assistance of AI and reviewed by Morning Overview editors prior to publication.
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