Norway and USA-based Trener Robotics (previously T-ROBOTICS), the developer of an AI robotic abilities platform for manufacturing, right this moment introduced a €26 million ($32 million) Sequence A spherical to speed up their T-Labs R&D, new talent coaching, international expertise acquisition, and market and companion enlargement.
The spherical was co-led by Engine Ventures and IAG Capital Companions, with participation from Cadence and Geodesic Capital, via Nikon’s NFocus Fund. Shanda Ventures, Emergent Ventures, Fitz Gate Ventures, Techable VC, Radius Capital Ventures, and Raisewell Ventures additionally participated within the spherical. Following carefully on its Seed spherical, Trener Robotics’ whole funding thus far is over €31 million ($38 million).
“For many years, industrial robotics has been restricted by dynamic complexity, confining tens of millions of robotic arms to repetitive, single-purpose duties in extremely managed environments,” says Dr Asad Tirmizi, co-founder and CEO of Trener Robotics. “We’re basically altering this – reworking robots into clever, adaptable teammates by changing procedural programming with a management system that helps a rising library of production-ready abilities.”
Within the wider European robotics and industrial AI panorama in 2025–2026, a number of adjoining funding rounds spotlight sustained capital deployment into automation platforms and clever management methods.
Poland’s Nomagic raised €8.3 million to scale its AI-driven bodily operations platform (following a bigger €41.5 million spherical earlier in 2025), whereas London-based Neuracore secured €2.5 million to construct a unified robot-learning infrastructure. In Switzerland, Flexion raised €43 million to develop reinforcement studying methods for humanoid robotics, and Forgis secured €3.8 million to automate industrial machines.
Germany’s RobCo closed a €100 million spherical to develop its modular AI-driven robotic manufacturing methods, whereas SEAL Robotics raised €1.7 million for AI-enhanced modular robots in container logistics.
Mixed, these disclosed rounds quantity to roughly €158 million invested throughout European robotics and automation startups over the identical interval.
Though none of those corporations are headquartered in Norway, the mixture funding exercise illustrates a broader European push in direction of adaptive, AI-enabled industrial automation – a class into which Trener Robotics’ €26 million Sequence A aligns, notably within the growth of intelligence layers and studying methods for industrial robots.
“Our go-to-market technique empowers methods integrators and OEMs with a robotic AI abilities platform for deploying and controlling robots throughout various industrial environments,” provides Dr Tirmizi.
Based in 2024 by CEO Dr Asad Tirmizi and CTO Dr Lars Tingelstad, Trener Robotics goals to rework robotics by combining superior AI for intuitive programming with pre-trained talent fashions which can be professional at particular duties.
Dr Tirmizi beforehand labored at Vicarious, a robotics firm acquired by Google, and contributed to the robotics and haptics programme at ByteDance Inc., following a tenure at a European manufacturing analysis institute. Dr Tingelstad served as an Affiliate Professor of Robotic Manufacturing at NTNU.
The corporate’s software program, Acteris, provides customers ease and capabilities for his or her robots, permitting them to suppose, adapt, and carry out advanced jobs. Headquartered in San Francisco (USA) and Trondheim (Norway), the Trener Robotics workforce consists of trade veterans whose expertise spans corporations in robotics and know-how, together with Common Robots, ABB, Vicarious, Google, KUKA, Autodesk, and TikTok.
Acteris is a robotic agnostic abilities platform that as an alternative of inflexible coding lets operators describe duties to automate in their very own phrases, turning conversational enter into executable automation. By utilizing bodily AI to grasp imaginative and prescient, language, and motion, the platform adapts to altering elements and unstructured manufacturing environments in real-time.
Educated on visible, haptic, language, and motion information, Acteris allows industrial robots to self-learn and thrive as employees in advanced manufacturing environments. Producers utilizing the platform reportedly acquire:
- An agentic interface enabling robotic programming via pure dialog, intuitive activity sequences, and high-fidelity simulation – empowering finish customers and system integrators of any talent degree to construct protected, high-performance purposes
- Half identification and dealing with with imaginative and prescient, even below adversarial situations
- Optimised robotic motions that react to modifications with unprecedented robustness
- Clever collision avoidance and security options that mimic frequent sense
- Actual-time manufacturing dashboards for efficiency monitoring
“After we co-led Trener Robotics’ Seed spherical, we noticed a workforce with a transparent imaginative and prescient to unravel certainly one of automation’s largest bottlenecks,” says Reed Sturtevant, Common Accomplice at Engine Ventures. “Their execution and talent to quickly scale has been exceptional. This traction positions Acteris because the intelligence layer for bodily automation and reinforces their capability to scale via partner-led distribution.”
In 2025, Trener Robotics confirmed promising momentum, collaborating with greater than 15 options and integration companions throughout Europe and the U.S., and integrating main robotic manufacturers like ABB, Common Robots and FANUC into Acteris.
In response to information offered by the corporate, the marketplace for versatile, adaptable automation is advancing at 14.3% CAGR, pushed by persistent labor shortages, demand for high-mix manufacturing, and rising operational prices that immediate producers to hunt options with a speedy return on funding.
“Industrial automation is at an inflection level, with Trener Robotics well-positioned as a platform accessible to producers of all sizes, making a repeatable path for increasing capabilities past CNC machine tending. That is exactly what small and mid-sized enterprises globally must compete as AI redefines manufacturing,” says Dennis Sacha, Accomplice at IAG Capital Companions.
