Gritt: $32 Million in Robots to Accelerate Solar Farm Construction

When Artificial Intelligence Meets the Labor Crisis in the Energy Sector

The global solar energy sector is experiencing unprecedented expansion, as countries and companies race to deploy solar panels and energy storage technologies in pursuit of energy independence and climate change mitigation. Yet this rapid growth is running into a fundamental obstacle: a shortage of trained workers capable of keeping pace with the surging demand for installation and construction.

Into this landscape emerged Gritt, a startup positioning itself as a promising technological solution. The company has exited stealth mode to announce total funding of $32 million, including a $26 million Series A round led by Obvious Ventures, with participation from Union Square Ventures and Active Impact Investments, as well as a prior seed round backed by First Round Capital and a number of investment funds specializing in climate and technology.

An Idea That Rewrites the Construction Equation

The company was founded by two Carnegie Mellon University robotics alumni: CEO Punit Puri and CTO Vishal Dugar. Their approach is built on a central idea: rather than manufacturing purpose-built robots from scratch, Gritt leverages off-the-shelf commercial equipment — such as rented excavators and robotic arms from manufacturers like Kawasaki — and programs and operates them using advanced AI models.

The company's systems currently handle three sequential tasks:

• Safely unloading heavy glass solar panels from trucks.
• Transporting them to the metal racking structures designated for installation.
• Positioning them with millimeter-level precision in preparation for manual fastening.

The results are striking: a crew of eight workers that would typically install 800 panels per day can, with Gritt's systems, reach 3,000 to 4,000 panels per day — a four- to fivefold increase in productivity.

Field Presence and Major Contracts

Gritt is not resting on theoretical promises. The company currently has two systems deployed in the field, continuously collecting data to improve their performance. More significantly, it has signed contracts to install the equivalent of 2.8 gigawatts of solar panels over the next eighteen months, with a client list that includes three of the ten largest energy construction companies in the United States.

One client — who preferred to remain anonymous — praised the systems' ability to facilitate work at remote sites where attracting labor is difficult, noting that their use would reduce injuries caused by repeatedly lifting panels weighing approximately 45 kilograms.

Artificial Intelligence: The True Engine of Transformation

The founders attribute the success of this approach to the leap forward made by modern AI models. While programming robots to perform a single task was partially feasible five years ago, today's models allow the same underlying infrastructure to be reused across multiple tasks. Puri offers a telling example: training the system to stack concrete blocks took weeks, whereas training it to tie rebar took just one day — using the same software.

An Ambition That Reaches Beyond Solar Panels

Gritt's vision does not stop at solar installation. The company plans to add new operational tasks such as panel fastening, pile driving, and structural racking assembly. Looking further ahead, it aims to enter other labor-intensive construction sectors, including tying rebar ahead of concrete pours.

But the ambition extends beyond repetitive manual work. The founders believe the sensor network and embedded intelligence within their systems can contribute to site management and operational decision-making — flagging open trenches before rainstorms, for instance, or alerting crews to inventory shortages.

Gritt faces competition from companies specializing in panel-installation robotics, including Luminous Robotics, Cosmic, and China's Trinabot. However, its reliance on off-the-shelf hardware may give it a meaningful advantage in scaling faster and at lower cost. The real battle, it seems, will be decided in the market long before it is settled in the design lab.

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