Trener Robotics, formerly known as T-Robotics, has announced a $32 million Series A funding round to advance its mission of bringing Physical Intelligence to industrial automation. Headquartered in San Francisco with a key engineering hub in Trondheim, Norway, the company is developing a foundational intelligence layer that enables software-defined control of robots across manufacturing and industrial environments. The new capital will fuel the expansion of Trener’s library of pre-trained robotic skill sets—modular, reusable capabilities that allow robots to perform complex tasks with minimal reprogramming. By leveraging machine learning and simulation, the company aims to significantly reduce the time and expertise required to deploy robots in industrial settings, addressing one of the biggest barriers to widespread automation adoption. Unlike traditional robotics, which rely on rigid, task-specific programming, Trener’s approach enables robots to adapt to variations in real-world conditions, improving flexibility and efficiency on the factory floor. The company’s technology is designed to work with existing industrial robots from major manufacturers, making it accessible to a broad range of manufacturers without requiring costly hardware overhauls. The Series A round was led by a group of strategic investors, including venture capital firms with strong ties to industrial technology and AI innovation. The funding will support product development, talent acquisition, and the expansion of pilot programs with global manufacturing partners. Trener Robotics is positioning itself at the intersection of artificial intelligence and physical systems, aiming to create a new standard for intelligent automation. As industries face growing labor shortages and rising demands for production agility, the company’s vision of software-defined robotics could play a pivotal role in reshaping the future of manufacturing.