Physical AI Set To Accelerate Infrastructure Buildouts

by Mat Dirjish

With $32.4M in pre-seed and Series A funding, Gritt is launching an intelligent system that combines robotics and AI to accelerate global infrastructure buildouts. The company’s intelligent systems attach to existing jobsite equipment to perform labor-intensive tasks and build infrastructure rapidly. Its robotic arms and AI connect to equipment such as skid steers and forklifts, enabling the system to precisely pick and place, assemble, and transport materials in constantly changing environments.

Gritt’s system learns from every deployment and is adaptable. As per the company, a task that took months to train now takes days. Deployed across large construction sites, the system can capture and process real-time data on completed work, material movement, and site conditions, while providing insights to help supervisors make better decisions.

Puneet Puri, CEO and co-founder of Gritt, explains “Every industry is embracing automation, but outdoor construction sites operate on unforgiving terrain and in variable weather. Gritt’s physical AI works in this unstructured, outdoor world. Infrastructure is what moves civilization forward, and now Gritt can help build it faster.”

Vishal Dugar, CTO and co-founder at Gritt, adds, “Nobody is solving the repetitive, high-volume manual work that shapes the world’s infrastructure. We need an intelligence layer that can complete dexterous tasks and make decisions in an environment that changes every hour. This is one of the most challenging frontiers in physical AI.”

According to the company, in the future, its decision-making intelligence layer will be able to act as an agent for general site supervisors by understanding resource flows, anticipating problems, and directly making calls to keep a project moving. The goal is to create a healthy construction market where workers forego dangerous, backbreaking tasks and contractors can build in months instead of years. For greater insights, visit the Gritt website.

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