Venture Studios: How to De-Risk Deep Tech Startups
How e-Novia’s venture studio model reduces risk in deep tech startups, from technical scouting to an independent Investment Committee review.

How e-Novia’s venture studio model reduces risk in deep tech startups, from technical scouting to an independent Investment Committee review.
Italian recall data shows label and allergen errors behind many food recalls. Learn why manual checks fail at scale and how food label inspection catches errors before they ship.
The EU PPWR regulation mandates recyclable packaging by 2030. For food SMEs, the challenge is adapting existing machines to new materials with sensors and Physical AI.
At WMF 2026, e-Novia shared its practical view of innovation, combining Venture Studio capabilities, Innovation Consulting and Physical AI. From the Startup Competition to YAPE’s autonomous delivery use case, the event showed how technology can move from research to real-world impact.
eSkins joins e-Novia’s Venture Studio. An article on sportech, robotics and Physical AI applied to sports innovation.
Process innovation in manufacturing requires AI designed for real operations. e-Novia’s view on Physical AI, factory performance and industrial adoption.
Telerobotics with haptic feedback allows operators to control robots remotely while perceiving physical contact. The TouchDIVER Pro case by Weart.
e-Novia and Perspective AI announce a strategic partnership to help manufacturing companies adopt AI, from strategy to production.