logo
logo

Discover the ideas, stories, and analyses driving innovation at e-Novia and in the world of Physical AI.

Through a unique ecosystem, we connect start-ups, universities, industrial partners and investors, and thanks to our executive capabilities, we accelerate the path from idea to market.
Hero-Section-1-Modificata-1

Scopri le idee, le storie e le analisi che guidano l’innovazione in e-Novia e nel mondo della Physical AI.

e-Novia è il venture studio che trasforma innovazioni nel campo della Physical AI in startup.

Attraverso un ecosistema unico, connettiamo startupper, università, partner industriali e investitori, e grazie alla nostra capacità esecutiva acceleriamo il percorso dall’idea al mercato.

Filter by

Insight type
Industry
Capabilities
Differenza-tra-incubatore-e-venture-studio-cosa-cambia

Incubator vs Venture Studio: What Really Changes

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.

1769002977837-1

AI Festival Milan 2026: from the Agentic Era to Physical AI, execution is the differentiator

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.

Fabbrica 5.0: AI in fabbrica e integrazione OT/IT in produzione

Factory 5.0: why applied AI can support industrial growth

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

Applicazioni dell’intelligenza artificiale nella manifattura

Artificial intelligence in manufacturing: applications, perspectives and operational approaches

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.

Subscribe to the Newsletter.

Write us about your challenge, share your idea, or ask for information: we’ll reply quickly to help your business grow.