Solutions and Applied Research

We provide Machine Learning Solutions able to solve problems of Classification, Prediction, Forecast, Clustering, Behavior, Natural Language Processing (NLP), in different industrial contexts such as IOT, Banking, Automotive, Energy.

Machine Learning Maturity Model

We apply a rigorous and scalable approach in projects with a view to continuous improvement, verifying the maturity of the entire end-to-end ML process over time in terms of cost, process and results monitoring.

Data Science

Team of Data Scientists able to create Models and Monitor the Service. Data Architect and MLOps Engineers to define the Architectures and Govern the ML processes in MLOPS.


Humanativa is able to help Organizations become AI-Driven.

To this purpose, we provide our methodological approach to support the customer in all phases of the end-to-end Machine Learning Cycle.

Amazon Web Services

Google Cloud Platform



AutoML Training to the Business Customer to make it autonomous in the experimentation of Models via AutoML offered by Cloud Computing Services (Amazon AWS, Microsoft Azure, Google GCP)

Consulting in Data Science

Development of Machine Learning Models.
Consulting for the improvement of Business Processes.
Planning and Cost Management of ML Services in Cloud.

Advanced Analytics

Implementation of specific ML solutions.
Data Visualization, Advanced Analytics.
Model Embedded, Integrating Models into Third-Party Applications.
Cloud Services, Microservices & Rest Services.


Lifecycle management of Machine Learning solutions both in Cloud Computing and On Premise.
Monitoring the Performance of Models in Operation.

Use case

Passenger flow forecast

The Challenge An important airport management company entrusted us with a project related to the analysis and understanding […]

Air Transportation
Read more arrow_outward

Credit risk scoring

The Challenge Today, modern “digital” banks in particular offer services such as “digital wallets with attached digital payment […]

Crash validation

The Challenge Today cars are equipped with electronic devices with GPS locator (black box) which allow to record […]

Customer insight fo up and cross selling

The Challenge In financial services, as in other industry contexts, the transformation process towards an Ai-driven company is […]


Embarking on the AI-driven journey

In this article we want to explain in detail how companies can become AI-driven according to Humanativa Group.

Data Democratization

Data democratization refers to the practice of making data accessible and usable by a wide range of users...

Humanativa Group meets the students of the Master of Data Science at the Industrial Liaison Program Day 2023 (ILP2023)

Humanativa Group is among the Italian and European companies chosen by the University of Rome to participate in […]

Generative adversarial networks (GANS)

GANs are part of the generative neural network models.  A genetic algorithm is an example of an “evolutionary […]