Trener Robotics, formerly T-Robotics, raises $32M in Series A round

Company looks to bring physical intelligence, pre-trained skills to industrial robots

Trener Robotics

By Robotics 24/7 Staff    February 13, 2026         

Trener Robotics, formerly T-Robotics, raises $32M in Series A round

Trener Robotics

Trener Robotics said that its Acteris platform understands programming intent, asks clarifying questions and handles everything behind the scenes, from motion control to vision and software logic without any coding required.

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Trener Robotics, formerly T-Robotics, raises $32M in Series A round

Trener Robotics

Trener Robotics said that its Acteris platform understands programming intent, asks clarifying questions and handles everything behind the scenes, from motion control to vision and software logic without any coding required.

Powered by a new $32M investment round, Trener Robotics, formerly known as T-Robotics, raised $32 million in Series A funding, with the company planning to further develop its Acteris platform.  

The company said that Acteris replaces rigid procedural coding with pre-trained physical AI skills, letting operators describe robotic tasks in their own words, turning conversational input into executable automation.

Accelerate AI models as the new standard for robot operations

Acteris is a software-defined intelligence layer in the factory stack, which Trener Robotics said is empowering robots to self-learn and adapt to high-mix production while providing integrators with a standardized suite to transform one-off projects into scalable, repeatable applications.

The new capital brings Trener Robotics’ total funding to over $38 million, and the company said that it will be used to support training Trener Robotics’ platform with new industrial robot processes, distribution expansion into new markets and hiring talent to address rapidly scaling demand.

“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,” said Dr. Asad Tirmizi, co-founder and CEO of Trener Robotics.

Unlike brittle, narrowly scripted systems or research-first generalist platforms, Trener Robotics said that Acteris is a practical, shop-floor-proven technology. The company’s first focus area is robotic CNC machine-tending, with other high-demand applications to follow in 2026.

“This fresh capital allows us to further accelerate our mission to make AI models the new standard for robot operations, turning the millions of existing robots and tens of millions of robots yet to be deployed, into intelligent, self-learning teammates for manufacturers of all sizes,” Tirmizi said.

Trener Robotics said that manufacturers using Acteris can gain:

  • A groundbreaking agentic user interface that enables robots to be controlled through natural conversation, intuitive task sequences and high-fidelity simulation. It empowers any user, regardless of robotics expertise, to effortlessly run high-performance robotic applications.
  • Part identification and handling even under adverse conditions.
  • Optimized robot motions that react to changes, delivering unprecedented robustness.
  • Intelligent collision avoidance and enhanced safety features that mimic common sense.
  • Real-time production dashboards for performance monitoring.

Scaling automation without scaling complexity

Trener Robotics said it has built rapid momentum with more than 15 partners across Europe and the U.S. that now provide Acteris-powered turnkey offerings - including the robot, gripper and software - all pre-integrated and production-ready. Acteris is currently directly compatible with ABB, Universal Robots and FANUC, with more robot brands to follow.

In late 2024, Trener Robotics was selected as the winner in the ABB AI Startup Challenge, which accelerates the robotics and AI industries by seeking innovation across the three key areas of natural language programming, skill learning and autonomous decision-making.

“Our go-to-market strategy is to empower System Integrators and OEMs with a Robot AI skills platform for deploying and controlling robots across diverse industrial environments,” Tirmizi added. “This approach transforms one-off integrator projects into repeatable, scalable solutions designed for speed, consistency and predictability.”

 

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Article Topics

Artificial Intelligence   Machine Vision   Machine Learning   Industrial Automation   Collaborative Robots   Robot Arm   Components   Grippers   Motion Control   Motors and Drives   Software   Simulation   News   Press Release   CNC Machining   Collision Avoidance   Funding   Investment   Safety  

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