Trener Robotics (formerly T-Robotics) has raised a $32 million Series A round to accelerate its Acteris platform, which replaces procedural programming with pre-trained AI skills for industrial robots. The company aims to turn existing and future robots into intelligent, self-learning teammates for manufacturers, starting with robotic CNC machine-tending and expanding to other high-demand applications in 2026.
Key takeaways
- Acteris enables natural conversation control, intuitive task sequences, and high-fidelity simulation, allowing users without robotics expertise to operate robots.
- The platform offers part identification under adverse conditions, optimized motions that adapt to changes, intelligent collision avoidance, and real-time production dashboards.
- Acteris is compatible with ABB, Universal Robots, and Fanuc, with more brands planned. Over 15 integration partners in Europe and the US provide turnkey solutions.
- Funding co-led by Engine Ventures and IAG Capital Partners, with participation from Cadence and Geodesic Capital via Nikon's NFocus Fund, brings total funding to over $38 million.
- Recent recognition includes the Machine Tool Innovation Award at EMO Hannover and winning the ABB AI Startup Challenge.
By standardizing robot and application logic, Acteris reduces programming burden and project timelines, transforming one-off integrator projects into repeatable, scalable solutions. The flexible automation market is growing at 14.3% CAGR, driven by labor shortages and demand for high-mix production. Trener Robotics is expanding its integrator network and will host a free webinar with Universal Robots on March 3.
Source: Robotics & Automation News (roboticsandautomationnews.com) · Published 2026-02-12 · “Trener Robotics to deliver ‘pre-trained skills to industrial robots’”