012021
Born AI-first
When applied AI was still rare among local companies, UEBB was born vertical on Artificial Intelligence: models, data and infrastructure first. The name already said it: UEBB Artificial Intelligence.
LIUC – Università Cattaneo · GA.IA, the UEBB supply chain engine
About us · Varese, since 2021
We teach AI. Then we put it into production.
UEBB was founded in 2021 in Varese as UEBB Artificial Intelligence, with one clear idea: bring Artificial Intelligence where it really matters — production, plants, quality, safety, medicine. It is led by Giacomo De Benedetto, founder and CEO, who teaches AI at the University of Insubria and brought it to the lecture hall at LIUC.
University of Insubria · in the classroom
The founder
Giacomo De Benedetto
Founder & CEO
“I founded UEBB Artificial Intelligence to bring AI where it really matters: production planning, plant reliability, in-line quality, safety and medicine.”
Giacomo regularly teaches at the University of Insubria — from Big Data and HPC infrastructures to the NVIDIA ecosystem — and was invited to LIUC – Università Cattaneo to speak about Artificial Intelligence in the supply chain, with GA.IA as a concrete case.
He has contributed to AI-based satellite image analysis projects, the subject of publications and numerous citations, and today works on medical imaging projects with Artificial Intelligence.
With UEBB he helps companies and SMBs forecast demand, schedule with real constraints, run predictive maintenance, integrate PLC, ERP and MES systems, and build operational co-pilots that cut time and errors. He also personally follows the regulatory side: the EU AI Act and AI governance are part of the method, not an attachment.
Areas of expertise
Supply chain & demand forecastingHPC, GPUs and distributed trainingIndustrial computer visionMedical imaging with AIEU AI Act & governanceCybersecurityCloud & infrastructure
The team
Vertical skills, all in-house
Alongside Giacomo works a team of in-house developers, each one vertical on their own technology: from machine learning to embedded systems, from backend to industrial integrations, from cloud to cybersecurity. Everything in-house: the people who design are the people who build, and they stay by your side after the release.
Machine learning & MLOps
Embedded systems & edge AI
Backend & PLC / ERP / MES integrations
Cloud & infrastructure
Cybersecurity & networking
Web, mobile & desktop
The story
Three chapters, one idea
02Insubria · LIUC
From the classroom to the factory
The courses at Insubria and the invitation to LIUC come from the same conviction: you only truly understand AI when you put it into production. That is where GA.IA comes from — the supply chain engine integrating nine machine learning models, from demand forecasting to defect classification — together with membership in the NVIDIA Inception program.
032026
The complete stack
Today UEBB covers everything AI needs to actually work in a company: software development, cloud (AWS, Azure, Google Cloud), cybersecurity with Sophos (Silver Partner), backup and data resilience with Veeam (Cloud & Service Provider), UEBB Drive for data that must never leave home, and EU AI Act compliance. Still from Varese, Via M.V. Staurenghi 34.
In the lecture hall
Where we explain AI
Giacomo De Benedetto regularly teaches at the University of Insubria and has been a guest lecturer at LIUC – Università Cattaneo. Four lectures, in chronological order, with the topics of the original slides.
University of Insubria01 / 04
Classifying Instagram content with AI
A study carried out for Not Just Analytics: how to automatically classify the content of Instagram profiles by combining computer vision and language analysis.
Computer visionNLPClassification
University of Insubria02 / 04
Infrastructures for Big Data and HPC
18 slides
From Hadoop, Spark and Airflow to HPC architectures: CPU vs GPU, CUDA and CUDA-X, cuDNN, NVIDIA Nsight and Triton Inference Server, distributed training with PyTorch DDP and NCCL, up to Databricks.
HPCNVIDIA CUDAPyTorch DDP
LIUC – Università Cattaneo03 / 04
AI for the Supply Chain
12 slides
Demand forecasting, scheduling with real constraints, warehousing, quality control with computer vision, predictive maintenance, logistics and risk control towers: where AI delivers measurable benefits.
ForecastingSchedulingPredictive maintenance
LIUC – Università Cattaneo04 / 04
GA.IA: a concrete example
Nine models in a single platform: LSTM for time series (94.5%), Prophet + XGBoost ensemble (96.6%), Isolation Forest, K-Means + UMAP, DistilBERT, Random Forest (>90%). In the demo: forecast errors −18%, on-time delivery +15%, response times −25%.
GA.IA9 ML modelsControl tower
Beyond the classroom
Satellite imagery
Contributions to AI-based satellite image analysis projects, with publications and numerous citations.
Medical imaging
Ongoing medical imaging projects with Artificial Intelligence.
NVIDIA Inception
Members of the NVIDIA program for AI startups: access to resources and technologies we bring straight into projects.
Partners and recognitions
The certifications behind the promises
Get started
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