Trener Robotics announced it has raised a $32 million Series A round of funding. The new capital brings the company’s total funding to over $38 million, which will support training its Acteris platform with new industrial robot processes, distribution expansion into new markets and hiring talent.
For decades, the power of industrial robotics has been limited by the complexity of a dynamic world, confining millions of robotic arms to repetitive, single-purpose tasks in highly controlled environments.
"By replacing procedural programming with pre-trained AI skills, we give robots the ability to understand and act with true intelligence learned from data extracted from humans, robots and videos of industrial processes,” CEO Asad Tirmizi said.
Trener Robotics’ first focus area is robotic CNC machine-tending with other high-demand applications to follow in 2026. According to the company manufacturers using Acteris gain:
Agentic user interface that enables robots to be controlled through natural conversation, intuitive task sequences and high-fidelity simulation
Part identification and handling even under adverse conditions
Optimized robot motions that react to changes
Intelligent collision avoidance and enhanced safety features
Real-time production dashboards for performance monitoring
Trener Robotics has built rapid momentum with more than 15 solution and integration partners across Europe and the U.S. that now provide Acteris-powered turnkey solutions—including the robot, gripper and software—all pre-integrated and production-ready. Dozens of strategic industrial players, from machine tool OEMs to hardware manufacturers, have reportedly shown interest in embedding Acteris into their systems.
Acteris is currently directly compatible with ABB, Universal Robots and FANUC, with more robot brands to follow.
By utilizing standardized robot and application logic, Acteris provides a reduced programming burden, shorter project timelines and a modern operator experience that aligns integrator productivity with end-customer quality.
"This approach transforms one-off integrator projects into repeatable, scalable solutions designed for speed, consistency and predictability,” Tirmizi said.
