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AI Case Studies

Residual Value for the sale and purchase of energy plants

We assessed a data-driven model to establish the real value of 30+ production plants for a top Italian player in the energy industry.

The result was increased valuations by a range of 60%-100% across the portfolio, leading to higher profits during sale.

Starting from the asset register: a granular list of all elements, including the more complex items, we were able to provide a reliable estimate of the life span of the components.

By combining proprietary data with statistical data, literature and expert opinion, we could depreciate the assets, based on Objective Useful Life.

increased valuation of 60%, shared by the counterparty, for a fairer profit
a reliable assessment of the real value of the assets, evaluating operating costs in the buying and selling phase
more solid analytical basis for any decision support system

Risk monitoring platform for a gas production plant

Our customer needed to improve risk prevention in their gas extraction plant for different types of technical Gasses, like Hydrogen and Oxygen.

Available data was a state of the art description of current anomalies more likely to lead to an accident.

Through data modeling we developed a tool that automatically assesses the risk according to failure patterns, in order to prevent critical events.

Enhanced Plant Security
Reduced Carbon Footprint
More efficient maintenance

Predictive maintenance for public lighting

A major international player in the energy world needed to understand how to optimize streetlight maintenance.

The probability of malfunctioning assets depends on environmental factors (wind, temperature range, distance from the sea) and characteristics of their materials.

We developed a decision support system (DSS) based on an AI algorithm in the form of an interactive interface. By entering geographic areas and lighting-related parameters, our customer can identify those light points that are most worth to be replaced.


Timely and detailed risk analysis for each light point
Savings on unnecessary repairs and replacements
Cost prediction and competitiveness in tenders

Failure Prevention on the electrical distribution network

A multi utility company needed to prioritize maintenance for the medium voltage network in Milan. The electrical distribution counts up to 6,000 switching stations, connected to each other by so-called branches.

We developed a model to analyze the branches fault history, considering their specific characteristics (types and ages of the materials, number of joints, etc. ) and the availability of alternative branches nearby, to ensure service continuity in case of failure.

This way we highlighted those stations where the probability and the severity of fault risk were higher, in order to prioritize interventions accordingly.

More targeted maintenance interventions
Service continuity
Less penalties to pay and more savings for the entire network

Risk assessment for new hydrogen railway lines

A railway network managing company needed a risk analysis for the circulation of a new hydrogen train on a non-electrified line, in a highly urbanized section.

To understand all the risks of such trains on that railway, we had to consider all possible scenarios that could lead to catastrophic events, combining available data with many more unknown variables in our risk analysis model.

Drastically reduced environmental impact
The safest scenario for the new train
Optimized budget

Anomaly diagnosis to improve the business continuity of a pharmaceutical production

A large pharmaceutical company asked us to analyze their drug encapsulation process, in order to reduce rework times and production waste.

We have revolutionized their approach to data collection, teaching them how to correctly value all signals, instead of mistakenly taking the average.

Distinguishing between anomalous and normal signals, we promptly traced the anomaly (a misalignment of the shaft) and predicted where a production discontinuity was likely to occur.

Early diagnosis of anomalies
Reduction of troubleshooting times and prioritization of intervention
Risk prevention for other possible malfunctions

Dynamic train weighing system

A major railway transport player needed a new, more efficient weighting systems for trains, to estimate transport costs and ensure safe infrastructures, such as the bridges supporting their load.

The traditional static weighing system on special rails takes too much time and is expensive in terms of man hours.

We developed a system based on special sensors which can be easily installed on normal tracks, to acquire the most relevant signals and turn them into accurate results.

A new certified weighing system (per wagon and per axle)
An easily replicable and resalable service for infrastructure builders
A remarkable saving of time and resources