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.

Why product market fit matters for startups. Learn the difference between product market fit vs traction and why growth and fundraising fail without real market alignment.

Factory 5.0 is a practical way to talk about Industry 5.0 at plant level: sustainability, resilience, and a human-centric approach. It means making AI in manufacturing, robotics, and OT/IT integration part of daily operations—not side pilots—with clear impact on quality, uptime, energy use, and adoption on the shop floor

Artificial intelligence is increasingly reshaping manufacturing by enhancing product behaviour, process stability and operational continuity. Yet applying AI to physical systems requires engineering discipline, cross-functional capabilities and a structured path from exploration to production. This article outlines concrete applications, emerging challenges and the e-Novia method for deploying scalable industrial AI solutions.