We support your company in accessing novel solutions based on the most recent advances in Artificial Intelligence  and Deep Learning

We design customized solutions based on cutting edge technologies

Our softwares are easy to use with simple and intuitive user interfaces

We focus on explainable models and effectives visualization tools

Our expertise is in Machine Learning with applications in Computer Vision and Natural Language Processing

From prototypes to scalable solutions

Solutions on the cloud and on edge devices

Optimized workflows for increased speed and performance

At Quaesta AI we like the challenging problems, let's get in touch to see how AI can impact on your business

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Our Three Pillars 


We are engineers with a solid background in scientific research in AI, and innovative problem solving is one of our biggest strengths: at Quaesta AI we strive to design solutions able to bring impactful technological advances to your products


We highly value the usability of our products, that is why we carefully develop intuitive, simple and yet rich interfaces able to disclosure complexity progressively based on needs


We know how crucial it may be for your company to understand why a model has made a certain decision, that is why we strive to provide you tools aimed for a better understanding of the decision making process behind our models

At the Cutting Edge of Technology

Customized as well as out-of-the-box ultimate solutions  continuously updated based on the mostrecent advances in Deep Learning

Optimized models  with top-rated performances without the need of long training sessions: by combining few-shot learning and online-learning our networks can increase their performance in shorter time and reach stunning accuracy even in extreme settings

Reduced number  of labels and images required in training, thanks to the use of unsupervised pre-training, semi-supervised and self-learning techniques

Workflow designed for  minimal latency  built on optimized numerical libraries and dedicated GPU parallel programming

Models deployed on the cloud  or on edge devices

Possibility of integration of our runtime libraries in your favorite platform:


Adaptive Vision

Visual Studio 2019
C++ / C# 


Nvidia Jetson

Customized Plugins

Logos are registered trademark

Optical Character Recognition (OCR)

Robust out-of-the-box models recognizing characters in presence of deformations, partial occlusions, noisy and blurred images

Stunning accuracy also with non-standards fonts and reflective surfaces, where traditional OCR fails

Optical Character Verification (OCV) based on user-defined patterns

Possibility to refine the model online with annotated images for brilliant performances on the most difficult OCR scenarios


Due to privacy reasons, not all our clients are mentioned in this section




At Quaesta AI we provide tailored solutions based on Artificial Intelligence and Machine Learning, and we support you in the integration in your products or services of the most advanced technologies coming from the latest breakthroughs in scientific research.

Our mission is to allow companies and startups to access advanced technologies quickly and without unnecessary efforts. Let us discuss and identify together your needs and based on that we will design effective and efficient solutions which will bring your business to the next level.


Luigi and Riccardo met in Romania in 2017, working in a European-funded research project in the field of Machine Learning and Deep Learning. In 2021, motivated by a strong interest to develop industrial applications of their research, they decided to found Quaesta AI, with the purpose of supporting businesses and startups in accessing novel solutions based on most recent advances in Deep Learning and Computer Vision research.

Luigi obtained a master in Computer Science Engineering in 2007 followed by a PhD in Information Technology in 2011 both from Politecnico di Milano. Before moving to Cluj-Napoca in 2016 as Project Director of the DeepRiemann project, he worked as a postdoc at Università Statale di Milano and as Assistant Professor at Shinshu University, Nagano in Japan. 

Riccardo obtained his degree in Mathematical Engineering from Università degli Studi di Firenze, he visited the Institut für Theoretische Physik in Graz, and obtained his PhD from Linköping University in Theoretical and Computational Physics. He progressively became passionate for Machine Learning and decided to move to Cluj-Napoca for a postdoc in the DeepRiemann project.

Quaesta AI represents the next exciting challenge in their professional careers.

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