About us

We are an innovative startup born within the AImageLab laboratory of the University of Modena and Reggio Emilia.

From computer engineers to research scientists and professors: we are a passionate team with years of experience in Artificial Intelligence.


Take you into the future with the power of AI

Our purpose is to apply the most modern Artificial Intelligence and Computer Vision technologies to services and products that are mainly focused on Human Behavior Understanding, Human-Machine Interaction, and Deep Monitoring, topics in which our group has almost twenty years of experience.


GoatAI is headquartered
in Modena, Italy


Incubated by the University of Modena and Reggio Emilia, our offices are located inside the Modena Technopole of the Department of Engineering “Enzo Ferrari”


Why choose GoatAI?


20+ Years of Experience

Our team has more than 20 years of experience in AI, Computer Vision, and Machine Learning.


Science as the basis

Due to our origins as a research laboratory, the scientific method guides each of our projects.


Passion for Innovation

Our passion for innovation allows us to provide the newest and most advanced AI solutions.


People behind GoatAI

Matteo Fabbri

Chairman of the Board

Fabio Lanzi

Deep Learning Engineer

Riccardo Gasparini

Deep Learning Engineer

Rita Cucchiara

Scientific Advisor

Full professor at UNIMORE

Lorenzo Baraldi

Scientific Advisor

Assistant professor at UNIMORE

Simone Calderara

Scientific Advisor

Associate professor at UNIMORE

Massimo Garuti

Project Manager

Clust-ER Manager

Do you want to join
our team?


Company that support and
collaborate with us.


Take you into the future with the power of AI

First Awarded in Type- A KITT4SME open call

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ECCV 2020 Best Demo Award

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The scientific method guides each of our projects

ICIAP 2022

First Steps Towards 3D Pedestrian Detection and Tracking from Single Image.

Gianluca Mancusi, Matteo Fabbri, Sara Egidi, Mattia Verasani, Paolo Scarabelli, Simone Calderara & Rita Cucchiara

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TOMM 2022

Fine-grained Human Analysis under Occlusions and Perspective Constraints in Multimedia Surveillance.

Rita Cucchiara, Matteo Fabbri

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ICCV 2021

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?

Matteo Fabbri, Guillem Braso, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixe, Rita Cucchiara

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ARXIV 2020

Inter-Homines: Distance-Based Risk Estimation for Human Safety.

Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini, Simone Calderara, Lorenzo Baraldi, Rita Cucchiara

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