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This October will be a month to remember for us.
We’ve just closed a €4.25 million Seed round led by an international investor with the participation of major Italian investors and prominent industrial partners:

“As a thesis-based investor, we seek out transformative AI-powered solutions to tackle complex challenges. With Eoliann, we found a partner redefining how climate risk is measured and managed through risk modelling and actionable insights. Their technology enables businesses and communities alike to prepare for a safer, more resilient future.”
Todd Kimmel, Managing Partner of Montage Ventures

The new capital will be used to expand Eoliann’s technology platform, broaden its coverage of climate-related hazards, and accelerate international expansion. By advancing its predictive risk modelling, Eoliann will empower infrastructure companies, financial institutions, and public administrations with advanced tools to anticipate and manage the consequences of climate change.

This milestone reflects the deep trust placed in the conviction that has driven us since day one: climate risks must be addressed before they occur – not after.

We’re proud to do this starting from Italy, with partners who share our vision and with a team committed every day to turning complex data into actionable tools.

And this is just the beginning.

In December 2024, CA Auto Bank announced the selection of six innovative projects proposed to Digital Factory, the open innovation platform created in collaboration with the Incubator of Politecnico di Torino (I3P). The platform was designed to explore new solutions and technologies that could contribute to the Bank’s digital transformation. The six projects were selected from the 50+ that passed the initial screening of the more than 150 applications received since the platform’s launch. These projects are now undergoing an experimentation phase to test and validate the proposed solutions.

One of the young companies with which the Digital Factory team has initiated a Proof-of-Concept is Eoliann.

Eoliann’s primary product is a digital interface that provides climate risk assessment data through various artificial intelligence algorithms, integrating physics, economics, climate studies, and satellite data. These data are managed through cloud infrastructure, ensuring automation and scalability. “Our solution aims to help operators across various industries easily quantify climate risk exposure in an up-to-date and accurate manner”, says Roberto Carnicelli, Co-Founder & CEO of Eoliann. “The growing awareness of this issue and the need for new solutions have been driven by recent regulatory changes in the past few years, particularly in the banking and insurance sectors, as well as the increasing frequency of natural catastrophes and the damage they inflict on public and private property”.

Eoliann’s proposal has attracted the interest of CA Auto Bank, particularly its internal cluster dedicated to Climate Risk, due to its potential integration into the digital Bank’s operations, especially within its insurance arm.
The information, estimates, and forecasts developed by the startup could enhance the Bank’s ability to comprehensively assess financial risks from extreme weather events, support the development of new insurance products and services, optimize loan and investment portfolio management, and improve the accuracy of credit risk calculations.

“From our perspective, the project proposed by Eoliann offers significant opportunities for real-world experimentation and potential integration with both CA Auto Bank’s internal platforms and the services we provide in international markets,” says Andrea Mastroeni, ESG Manager at CA Auto Bank. “The Digital Factory initiative has given us the opportunity to engage with many young companies that have a strong innovative drive and are eager to contribute their technological expertise. We are pleased to have launched a Proof-of-Concept with Eoliann, which we selected specifically for its unique potential. We are confident that this trial will yield positive results and that our collaboration can continue to evolve”.

Eoliann has also expressed enthusiasm about the opportunity created by Digital Factory and the start of its first real-world collaboration with CA Auto Bank. “This Proof-of-Concept allows us to demonstrate the effectiveness of our technological approach, which integrates satellite data, advanced climate models, and artificial intelligence to provide increasingly precise and actionable risk assessments”, says Giovanni Luddeni, Co-founder and CTO of Eoliann. “Working with CA Auto Bank enables us to test the scalability of our solution in an actual financial setting”.

Resilience to climate change: what everyone needs to know

In May 2023, Emilia-Romagna in Italy experienced severe flooding, affecting residents, businesses, and infrastructure. Roads and railways were disrupted for days. In November, a powerful storm hit Tuscany, causing industrial losses, hospital evacuations, and infrastructure damage. These events highlight the increasing frequency of natural disasters and their significant economic impact. As climate-induced events rise globally, the critical question is whether advanced technologies can help estimate, prepare for, and respond to such disasters. Eoliann believes they can, and this article explores how.

Beyond the Damage: Understanding Climate Risks

Natural disasters, while evident in their immediate destruction, have lasting impacts that go beyond the physical realm. According to the European Environment Agency, flood-related damages in Europe exceed €12 billion annually, with the cost of climate-induced events reaching an astounding €145 billion over ten years. And for the infrastructure companies, insurance companies and banks, these aren’t just statistics. They represent claims that need to be processed, businesses to be supported, and, ultimately, profits that are affected.

A reactive approach is not the solution. By solely acting after disasters unfold, we miss out on the broader financial and societal benefits of preemptive actions. In Emilia-Romagna, the reactive measures post-floods had to address an estimated €8.8 billion in damage. Harnessing innovative technological methodologies like those that Eoliann has introduced could be the required game-changer. Proactive strategies not only lead to significant cost savings but also can effectively shield communities.

As the climate’s volatility continues to persist, the underlying challenge extends even beyond that. It challenges the very methodology of risk assessment. The reliance on historical data is not effective. With the ever-changing climate patterns and increasing severity of natural events, relying solely on the past to predict the future is prone to underestimation. Are traditional systems for risk assessment robust enough to adapt to the ever-intensifying climate challenges?

Artificial Intelligence: The Eyes in the Sky

This is where the power of technology comes into play. Advanced tools such as AI and Earth Observation Satellites are revolutionizing our approach to climate risk estimation.. These aren’t mere weather forecasting tools; they analyze patterns and trends, helping businesses make informed decisions well in advance. With the advent of powerful models, we can now anticipate potential risks rather than merely react to them.

For instance, by analyzing the morphological, topological, atmospheric and urbanistic data, AI can help forecast potential flood zones or areas vulnerable to wildfires. Moreover, Earth Observation Satellites offer another layer of accuracy. Orbiting our planet, these satellites provide real-time data, capturing atmospheric anomalies and man-made changes.

Eoliann has been at the forefront of advancing risk assessment methodologies tailored for the modern world. Our solution involves combining AI with geospatial analytics. As traditional models can be limiting in the face of rapid climatic changes, our approach, on the other hand, integrates real-time environmental data streams, allowing for dynamic risk assessment. Delving deeper into how the systems function, we can break down the key components of the risk assessment:

The Road Ahead

While the scars of events like Emilia-Romagna are deep, they highlight the pressing need for a reliable solution. With the rise of global temperatures in the next decade, more extreme weather events will occur, from scorching heat waves, floods and wildfires in regions like Europe to intensified cyclonic activities in the tropics. The seamless integration of AI-driven models and real-time satellite data paves the way for a responsive, resilient, and proactive system. And by integrating AI-driven risk models and satellite data, organizations across various sectors can take more proactive role, strengthening economies and communities against unforeseen challenges.

In the broader perspective, it’s more than merely adopting a new technology. It’s about entering a new era where smart data insights blend with human tactics, building a world that can adapt and thrive despite our planet’s changing patterns.