Born inside
a family agency.
For four years I lived from the inside the work of a fashion sales agency. Not as an outside observer — as a son, as an engineering student, as someone who saw every day the distance between how things could work and how they actually did.
Orders managed over WhatsApp. Price lists re-entered by hand every season. Commissions calculated in Excel spreadsheets. Showrooms and agents never in sync. No tool truly designed for this work — so everyone built their own, through workarounds.
That problem wasn't just ours. It was widespread, repeated, taken for granted. I decided that someone had to build a real tool.
I spoke with agencies in Italy and abroad. The problem was identical everywhere. No solution existed — not one truly designed for this sector. I started building it.
A fast and
international path.
I graduated in Computer Engineering from the University of Trento at 20 — the youngest in Italy at the time. I completed my master's degree in Artificial Intelligence at the University of Bologna with honors, with academic experience in Norway (NTNU) and the United States (R&D internship at Datalogic).
While studying, I worked as a full-time consultant developing machine learning solutions for industrial clients — chatbots and RAG systems for Generali, Coop Service, Diasorin; computer vision systems for IVECO. Today I work in Munich as an AI Engineer at a deep-tech startup that validates AI systems for high-risk sectors.
110 cum laude · Youngest graduate in Italy · Thesis on spiking neural networks on FPGA · Erasmus in Seville
RAG systems and AI chatbots for major Italian companies · Computer vision · Voice interfaces with emotion recognition
On-edge AI pipeline for real-time product recognition · Dockerized cloud infrastructure · TPU optimization
110 cum laude · NTNU Norway (Erasmus) · Thesis on Edge AI for fresh produce recognition
In progress · AI leadership, business strategy, B2B go-to-market
Munich · Testing and validation of AI systems for critical sectors
Why Ordenova
and why now.
The digitization of commercial networks in the fashion sector has been stuck in the nineties. Agents still work with PDFs and Excel spreadsheets. Brands have no visibility over their indirect sales channels. The data exists — but it's fragmented, disconnected, not actionable.
Ordenova solves this by building a digital infrastructure designed for sales agencies: a single ecosystem to manage orders, price lists, showrooms, agents and — soon — AI modules that turn commercial data into intelligent decisions.
We're not building management software. We're building the digital nervous system of fashion distribution.
The moment is now because the technology — generative AI, accessible cloud infrastructures, new API standards — has finally made it possible to build the tool that ten years ago would have cost millions. Today we can do it in an agile, precise way, close to the real needs of those who work in the field every day.