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Gritt leverages advanced AI models to enable industrial robots to operate effectively in unstructured outdoor construction environments, specifically targeting the labor shortages hindering global solar deployment. By utilizing off-the-shelf hardware controlled by generalizable intelligence rather than custom-built chassis, the startup aims to automate complex tasks like positioning glass panels with sub-millimeter accuracy for faster infrastructure build-out. This approach represents a significant step forward in applying machine learning to solve long-standing robotics challenges in chaotic settings beyond traditional factory floors.

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Gritt exits stealth with $32 million for robots to build solar plants — then, everything else

TechCrunchJuly 21, 20265 min read

Gritt is coming out of stealth with $34 million and plans to automate the hardest tasks on construction sites.

One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar and batteries to achieve energy independence and limit the effects of climate change. That build-out, though, is running into a labor market challenge, with a limited supply of workers to meet a growing demand for installation. Robots could be an answer, but industrial robots have historically struggled in unstructured environments, at least until now. The latest generation of AI models may have changed that equation. That’s the…

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