Discover how e-Novia supports companies and researchers in adopting Physical AI technologies and turning deep tech innovation into scalable industrial impact.

A guide to implementing predictive maintenance in industrial environments, covering sensors, data platforms, and real-world applications.

Artificial intelligence is moving from experimentation to real business impact. But many companies still struggle to scale their initiatives. This article explores why AI governance is becoming a leadership priority, how the EU AI Act is reshaping adoption, and why Physical AI represents a major opportunity for Europe’s industrial ecosystem.

Servitization is shifting value from one-off product sales to continuous services and recurring revenue, enabled by software, data, and when relevant, Physical AI. The article connects market signals such as Tesla’s software and robotics trajectory with a concrete example: Brembo TrackTribe, developed with e-Novia and e-Shock, turning telemetry and usage context into a scalable service. It concludes with the conditions to monetize and scale: clear value unit, robust measurement, and governable delivery.

e-Novia and 28DIGITAL announce a partnership around a dedicated SPIN edition for deep tech. The programme combines entrepreneurial education, pan-European scouting, industry/investor matchmaking, and venture studio support to help research projects reach the market—starting from Physical AI and advanced technologies.

Incubators and venture studios are often confused, but they serve different needs. An incubator supports already-established startups with services, mentoring, and networks—reducing friction and accelerating learning. A venture studio, instead, co-founds and builds new ventures from the start, investing operational resources and sharing responsibility and execution risk. Learn more in the article.

AI Festival Milan 2026 highlighted the “Agentic Era”: more autonomous, operational AI systems that require deliberate choices on architecture, responsibility, skills, and governance. e-Novia’s contribution fits this perspective through a clear focus on Physical AI, the industrialization of AI in real-world environments, where software and hardware must operate together under real-time, safety, and reliability constraints.

Dal CES 2026 emerge un nuovo paradigma: l’AI diventa fisica. Scopri cos’è l’AI fisica industriale, perché crea vantaggio competitivo e come progettare sistemi intelligenti nel mondo reale.