Vention secures $110M to scale Physical AI and push enterprise automation into Europe

Vention announced a $110 million financing package intended to accelerate its roadmap for combining software, hardware and machine intelligence into factory automation. The round includes commitments from provincial and institutional investors alongside strategic venture capital, and the money will be dedicated to R&D in Physical AI, expanding pre-engineered applications, and scaling operations across North America and Europe. The timing of the raise aligns with a broader push by major economies to onshore manufacturing capacity, creating demand for quicker, simpler automation solutions that do not require deep systems integration. Vention positions its platform as a single environment for design, programming and deployment, enabling centralized teams to roll standardized automation across multiple sites and countries. Technically, the company highlights generative AI agents, automated configuration tools, and robotic programming assistants as the features that compress delivery cycles that once took months into a matter of days. For large manufacturers, that reduces both commissioning overhead and the need for specialized integrators, shifting cost and labor models toward platform-driven deployment. The funding will support bringing new capabilities to market and beefing up regional presence, which is essential if the company wants to win multi-site enterprise contracts and meet local service expectations. Competitive implications are material: established automation vendors must adapt to a model that commoditizes hardware modules and elevates software and AI as differentiators. Execution challenges remain—scaling international operations, ensuring regulatory and systems compliance in diverse markets, and converting pilot wins into repeatable, high-margin enterprise programs. If Vention successfully embeds its stack as the preferred automation backbone for enterprise clients, it could accelerate a standardization trend in factory automation that favors cloud-connected, model-driven platforms. Investors appear to be betting on that outcome, but the company will need to translate R&D investment into robust field performance and reliable lifecycle support. In short, the round funds an ambitious push to turn AI-driven configuration and programming into the default approach for modern manufacturing, while the company navigates the practical hurdles of global scale-up and enterprise adoption.