Trener Robotics raises €26 million to scale robot “skills” platform
Norway- and U.S.-based Trener Robotics (formerly T-ROBOTICS) has closed a €26 million ($32 million) Series A funding round to accelerate development and deployment of its industrial AI automation software. The company said the capital will support T-Labs R&D, new skill training, global hiring, and broader market and partner expansion.
The round was co-led by Engine Ventures and IAG Capital Partners, with participation from Cadence and Geodesic Capital through Nikon’s NFocus Fund. Additional investors included Shanda Ventures, Emergent Ventures, Fitz Gate Ventures, Techable VC, Radius Capital Ventures, and Raisewell Ventures. Following a recent seed round, the company said total funding to date now exceeds €31 million ($38 million).
Replacing procedural programming with reusable “skills”
Dr Asad Tirmizi, co-founder and CEO of Trener Robotics, said industrial robots have long been constrained by “dynamic complexity,” limiting many robotic arms to repetitive tasks in controlled settings. He said the company aims to shift factories away from rigid code toward a control system built around a growing library of production-ready skills.
Founded in 2024 by Dr Tirmizi and CTO Dr Lars Tingelstad, the company operates from San Francisco and Trondheim. Its software platform, Acteris, is positioned as a robot-agnostic layer that lets operators describe tasks in natural language and converts those instructions into executable automation, supported by vision, language, and motion learning.
Momentum amid broader European automation investment
Trener Robotics said it worked with more than 15 solutions and integration partners across Europe and the U.S. in 2025, and has integrated major robot brands including ABB, Universal Robots, and FANUC. The company also pointed to a wider surge in European funding for robotics and industrial AI platforms, as manufacturers seek flexible automation amid labor shortages, high-mix production demands, and rising operating costs.









