Trener Robotics builds a Physical AI layer for industrial arms, with a stack spanning PyTorch, JAX and TensorFlow for model training, MuJoCo and Isaac Sim for simulation, and ROS 2 plus OPC UA, Modbus and Ethernet/IP for factory integration. Support for Universal Robots, ABB, Fanuc and KUKA signals a vendor-agnostic strategy. Senior-heavy engineering hiring targets VLA policy deployment and continual learning, while new marketing roles point to an early go-to-market build.
Trener Robotics is a privately held robotics software company headquartered in San Jose, California, with operations in Trondheim, Norway. Its core product, Acteris, serves as a standard operating brain and integration suite for industrial robots, delivering a library of production-ready skills built on vision-language-action foundation models. The company replaces point-to-point robot programming with training-based approaches aimed at manufacturing environments. It runs T-Labs as an internal R&D unit for developing and validating robotic skills. The team sits in the 11–50 employee range, with deployments delivered through partners.
Trener Robotics uses Python, C++, PyTorch, JAX and TensorFlow for AI, MuJoCo and Isaac Sim for simulation, ROS 2 for robotics, React, TypeScript and Three.js for interfaces, and Salesforce and HubSpot for go-to-market.
Its stack includes Universal Robots, ABB, Fanuc and KUKA, integrated through industrial protocols such as OPC UA, Modbus and Ethernet/IP.
Trener Robotics is headquartered in San Jose, California, and also operates in Trondheim, Norway. Current hiring is focused in the United States.
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Trener Robotics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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