Climate. Change. Business.

Climate is changing
and is changing now.
Adapt to changes.

Find out more about our platform AmigoClimate

We transform climate data into information for our clients
to assess, manage and forecast their climate-related risks.
We develop customized solutions for the
insurance, agriculture, energy and infrastructure sectors.

Climate Analytics Software

Climate Data Analytics

We find the hidden value of climate data by using groundbreaking data-science approaches and state-of-the-art AI methodologies

Climate Risk Management

Climate risk Management

We design tailored strategies to manage the evolving climate risk based on the assessment of the vulnerability and exposure of the infrastructure and operations of our clients.

Climate Consulting

Climate Consulting

We provide ad-hoc data-driven Climate Consulting services to tackle specific needs from our clients related to their climate challenges.

AmigoClimate is our ready to use SaaS
for monitoring, assessing and forecasting climate related risks
that enable our clients to assess their vulnerability and exposure to climate change within a click. Learn more about our application here:

AmigoClimate

We are a cohesive multidisciplinary team with expertise in
climatology, extreme event statistics, software development, data science and artificial intelligence.
Check out our ongoing projects

PIISA

Piloting Innovative Insurance Solutions for Adaptation

PENGUIN

AI-Powered Solar Energy Sources forecasting

ARIA

Enhanced short-term Wind Forecasts

FOCUS AFRICA

Climate Service for Southern African Regions

ClimOP

Mitigation Strategies for Aviation

TiPes

Tipping Points in the Earth System

PIISA

Climate Service in Southern Africa The PIISA project and its consortium partners aim at developing innovative insurance products that are tailored to specific contexts and promote virtuous interaction between risk sharing and risk reduction in adaptation planning and implementation.
The envisaged insurance products in PIISA are unique in three ways: they employ novel or yet scarcely used risk sharing mechanisms, use new climate risk data services, and allow smart interaction with adaptation efforts resulting in increased overall resilience.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101112841.
Client European Commission
Year 2023-2025
TAGS Agriculture & Critical Infrastructure

PENGUIN

AI-Powered renewable energy sources forecasting
Solar energy forecasting model
PENGUIN is a game-changing tool that provides precise, AI-enhanced short-term forecasts of key variables that impact the availability and harnessing of renewable energy from solar sources.
PENGUIN data leverage state-of-the-art machine learning and deep learning models to anticipate load fluctuations linked with the natural variability of renewable energy sources (RES). By combining precision in forecasting with flexibility of implementation, PENGUIN aims at becoming the essential tool for supporting energy balancing operators of the renewable energy sector.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951981.
Client European Commission
Year 2023
TAGS Energy

ARIA

Enhanced short-term wind forecasts
ARIA is an innovative AI-based tool aimed at improving short-term forecasts for the wind energy industry. The ARIA tool aims at overcoming the limitations of traditional meteorological forecasts by leveraging advanced AI techniques to provide accurate and fine-scale estimates of wind speed up to 24-72 hours in advance.
ARIA’s accurate and fine-scale wind speed estimates empower operators of the wind energy sector to enhance energy generation efficiency, reduce imbalances, lower related costs, and improve maintenance planning.
ARIA is currently under development by a consortium composed of Amigo and ANEV (the Italian Association for Wind Energy).
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016508.
Client European Commission
Year 2023
TAGS Energy

FOCUSAfrica

Climate Service in Southern Africa
Co-designed solutions for Africa
FOCUS-Africa will develop tailored climate services in the Southern African Development Community (SADC) region for the energy, water, infrastructure and food security sectors. The initiative, which promotes a huge engagement of stakeholders and primary players in all the sectors, aims to
1) advance the way in which climate information is processed and used in the decision-making process,
2) contribute to the advancement of scientific knowledge, and
3) characterize end-user requirements and policies.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869575. www.focus-africaproject.eu
Client European Commission
Year 2021-2024
TAGS Agriculture & Critical Infrastructure

ClimOP

Climate assessment of innovative Mitigation strategies towards Operational improvements in aviation
The future of aviation
ClimOP aims to develop mitigation strategies for a sustainable and resilient aviation and investigates possible operational improvements that can actually have a positive impact on climate, taking non-CO2 effects into account. Subsequently, it will analyse and propose harmonized mitigation strategies that foster the implementation of these operational improvements. Amigo is taking part in the assessment of innovative mitigation strategies for both in-flight and ground operations, as well as airport infrastructures, and their interaction with climate conditions, in order to have a better understanding of their long-term impact.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875503. www.climop-h2020.eu
Client European Commission
Year 2020-2024
TAGS Critical Infrastructure

TiPes

Tipping Points in the Earth System
Mapping the climate sensitivity of the planet
The TiPES project is focused on research and aims to better quantify the tipping elements that are present in the climate system and to ensure that climate projections also include these. The project will provide a generalized theory of climate sensitivity that accounts for the presence of tipping points and feedback across various time scales. The role of Amigo is to connect the theoretical findings and research to the market by disseminating the results and provide insights on the stakeholders’ needs.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 820970. www.tipes.dk
Client European Commission
Year 2019-2023
TAGS Extreme Events

Our research activities provide customers with the most advanced
services and innovative tools for climate risk management,
while closing the gap between academia and real world problems.
Check out our past projects below

ClimateByte

Climate risk assessment for agriculture insurance
using Big Data and Artifical Intelligence

NUA

Downscaling tool and Extreme Event Identification for Climate Data

Snow Power

Climate Forecast for Hydropower Generation

ClimateBuild

Mitigation Tool for Critical Infrastructure

Terra

Climate Service for Resilience Agriculture

DESIRA

Digitalisation: Economic and Social Impacts in Rural Areas

Apollon

Environmental Pollutions Analyser

SOON

Station Observation Outlier fiNder

CASEXtreme

Statistical Significance of Changes in the statistics of Extremes

CrossClimate

climate Services for small-medium Water Utilities in the Mediterranean Area

XCF

Extreme Climate Facilities

WINnERS project

Climate Resilient Agriculture Supply Chains

LEAP

Livelhoods early Assessment and Protection

P4P

Purchase for Progress

AMIGOClimate

Climate Risk Management

WRMF

Weather Risk Management

DESIRA

Digitisation: Economic and Social Impact in Rural Areas
Providing farmers with effective solutions
Desira is a EU-H2020 funded project that focuses on the digitalisation of rural areas in Italy. The main objective is to improve the capacity of society and institutions to respond to the challenges and opportunities that digitalisation generates in rural areas, with impact on agriculture and forestry. The project aims to develop a methodology for the evaluation of digitisation trends through case studies, living labs and data collected throughout Europe.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 818194. www.desira2020.eu
Client European Commission
Year 2019-2023
TAGS Agriculture

ClimateByte

Climate risk assessment for agriculture insurance using Big Data and Artifical Intelligence
ClimateByte is a Software-as-a-Service (SaaS) for assessing climate risk in agriculture, based on big data and machine learning (ML) approaches, integrating station, model, forecast and satellite data. By using big data and high resolution data to tailor risk assessment at the scale of single agriculture plots (about 1km2 or less), ClimateByte provides the required technology to improve the process of pricing and monitoring insurance products by collecting in a single place a complete set of climate-related information necessary for the risk profiling.
Client European Commission
Year 2022
TAGS Insurance, Downscaling, Big Data

NUA

Downscaling tool and Extreme Event Identification for Climate Data
The NUA project targets the market of climate services specifically designed for Insurance and Reinsurance companies covering the agriculture and infrastructure sectors. NUA is an additional feature that integrates AMIGOclimate for detailed climate-risk profiling by providing an extreme event identification and downscaling tool. Specifically, the project will improve the technical features by enhancing the horizontal resolution of the provided information. NUA synergizes earth observations and climate data for a high resolution climate risk assessment and forecast.
This project has received funding from the European Space Agency under contract No 4000137415/22
Client European Space Agency
Year 2022
TAGS Insurance & Finance, Agriculture, Extreme Events

ClimateBuild

Mitigation Tool for Critical Infrastructure
ClimateBuild aims to develop a tool to support the construction sector in designing and maintaining critical infrastructure to cope with changes of extreme events caused by climate change. The existing construction systems have been designed and operated according to historical climate conditions, whereas today we are increasingly experiencing climate events that deviate greatly from the baseline. ClimateBuild will be the tool for a climate-proof construction process and targets the safeguard of building and infrastructure from flooding by providing a tool integrated with BIM to assess water inflows and outflows.
Client European Commission
Year 2022
TAGS Critical Infrastructures, Extreme Events

Snow Power

Climate Forecast for Hydropower Generation
SnowPower is a SaaS that enables utilities to monitor and predict hydropower generation, providing an estimate of the snow water equivalent. The project focuses on estimating the amount of water expected to flow into the reservoir based on a snow water equivalent assessment with a short- (7-day ) and medium- term (1 to 6-month ) forecast. The software seamlessly integrates satellite, in-situ data, reanalysis products and seasonal forecasts with three different Artificial Intelligence (AI) systems for monitoring and forecasting hydropower production based on Machine Learning (ML) models.

This work is co-funded by the EOSC Future project under the European Union Horizon Programme call INFRAEOSC-03-2020 - Project ID 101017536.
Client European Commission
Year 2022
TAGS Energy, Extreme Events, Critical Infrastructure

TERRA

Climate Services for Resilient Agriculture
Integrating data for an informed agricultural insurance
Terra is a SaaS risk-assessment and monitoring tool integrating satellite data, reanalyses, and seasonal forecast, targeting insurance companies providing agricultural coverage. It provides ready-to-use information to design and manage innovative products, including monitoring and issuing payouts to insured clients, and adjust policy prices according to high resolution maps of the forecasted climate risk of the upcoming season.
This project has received funding from the European Space Agency under contract No 4000134140/21. https://business.esa.int/projects/terra
Client European Space Agency
Year 2021
TAGS Agriculture, Insurance & Finance

CrossClimate

Climate services for small-medium water utilities in the Mediterranean area
Adapting water management to climate change
The project aims at laying sound foundations for the development of a realistic business model and a commercial product for bringing to the market innovative climate services in the field of water management by including the nexus between agriculture, food and drinkable water. CrossClimate developed a prototype of a decision support system for water management in the Mediterranean area in collaboration with municipalities, water utilities providers and other stakeholders. The product integrates climate information, social, economic and infrastructural data, and provides a detailed evaluation of the risk profile to achieve an optimized use of the water network.
The project is funded by the European Commission through the NEPTUNE Blue Growth Accelerator
Client European Commission
Year 2018
TAGS Critical Infrastructure

CaseXtreme

Statistical Significance of Changes in the Statistics Extreme
A data-driven methodology to identify meteorological extremes in Africa
In order to create financial vehicles that track the frequency and magnitude of extreme climate shocks in developing countries and provide additional financing for countries already managing their current climate risks, it becomes necessary to develop specific methodologies to identify the changes in the frequency of extreme events as also requested by international organizations and countries. CaseXtreme aims to identify a suitable metric for the Statistical Significance of Changes in the Statistics of Extremes in order to provide the baseline for the design of innovative financial products and risk management tools.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 739686.
Client European Commission
Year 2017-2018
TAGS Extreme Events, Insurance & Finance

SOON

Station Observation Outlier Finder
An AI-powered unsupervised error detection framework for large data flows
SOON (Station Observation Outlier fiNder) addresses the challenge of automatically detecting erroneous station measurements in a real-time data flow. To do so, it makes use of a combination of machine learning algorithms belonging to the family of “anomaly detection” which individually leverage on specific information domains: spatial, temporal and parameters consistency domains. This approach allows to efficiently combine these different sources of information and to make the process resilient to the eventual absence of one of them.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779790.
Client European Data Incubator
Year 2018-2019
TAGS Extreme Events

Apollon

Environment Pollution Analyzer
An AI-powered air quality monitoring and predicting system
Apollon is a project funded by the Apulia Regional Administration to develop innovative tools for pollution monitoring and analysis. The aim is to provide the population with constant information and predictions about air quality and noise pollution, two major actors in climate change that also challenge health and quality of life. The Apollon team worked on tools integrating data from monitoring stations and mobile devices with the aim of providing a better understanding of the causes of pollution, as well as raising awareness in the population.
Client Innonetwork - Apulia Regional Administration
Year 2018-2020
TAGS Air Quality

WRMF

Weather Risk Management
Insurance products for small-scale agricultural production in developing countries
The Weather Risk Management Facility (WRMF) is a joint initiative by the World Food Programme (WFP) and the International Fund for Agricultural Development (IFAD). The goal is to encourage and protect investments in small scale agricultural production, enhancing local capacity and food security in Africa. This is achieved through the creation of insurance products to protect local farmers against climate related risks. The design of different insurance products is based on climate data collected with advanced remote sensing techniques. In collaboration with the Belgian organization VITO, AMIGO has conducted a sensitivity analysis to compare the performance of different remote sensing technologies to improve climate index insurance product offerings specifically for the context of Senegal.
Client International Fund for Agricultural development, VITO.
Year 2015
TAGS Agriculture, Insurance & Finance

XCF

Extreme Climate Facility
A data-driven financial vehicle to support adaptation to climate change
This project has three objectives:
1) design a new Extreme Climate Index (ECI), an objective multi-hazard weather index;
2) define a methodology capable of tracking changes in the frequency or magnitude of extreme weather events in African countries;
3) design a risk modelling strategy that uses ECI under different climate scenarios.
The outcome of this project underpins the operations of the Extreme Climate Facility (XCF).
Client World Food Programme, African Risk Capacity.
Year 2015-2018
TAGS Extreme Events, Insurance & Finance

P4P

Purchase for Projects
Connecting farmers to markets
Purchase For Progress (P4P) is the result of a joint collaboration between the Ethiopian government, local farmers, the World Food Programme and AMIGO. The objective of this project was to introduce an insurance on weather related risk for Ethiopian cooperatives of farmers supplying grain to the WFP. The role of AMIGO was to connect the different stakeholders and explore different options based on climate data combined with economic and social considerations. Final results consisted in a risk assessment report and design specifications for the insurance products.
Client World Food Programme.
Year 2014
TAGS Agriculture, Insurance & Finance

LEAP

Livelihoods Early Assessment and Protection
Drought and Flood early warning
In 2008, the World Food Programme (WFP) and the government of Ethiopia developed the Livelihoods Early Assessment and Protection (LEAP), an early warning platform for droughts and floods. LEAP is a key tool within the Ethiopian National Food Security Program. The software uses agro-meteorological monitoring data to estimate future crop yields. Consequently, it converts these estimates into the number of people in need of food supplies and financial assistance in different districts and regions. The WFP asked AMIGO to assess the current performance of LEAP and to identify improvement strategies. More specifically, AMIGO collaborated closely with the software development team in Rome to improve the algorithms behind the crop modeling component.
Client World Food Programme
Year 2016
TAGS Extreme Events & Agriculture

WINnERS

Weather INdex-based weather-driven Risk Services
Climate resilient agricultural supply chains
WINnERS is a joint collaboration of academic and industry partners aiming to tackle the risks posed by climate change to food production across the globe. The objective is to build weather and climate resilient agricultural supply chains by modeling weather and climate risk exposure through state of the art technology. In this context, AMIGO worked in collaboration with the Imperial College London to estimate the impact of climate factors (e.g. rainfall and temperature changes) on maize crop yields in Tanzania. Using a multi-model approach, AMIGO compared the performance of a drought tolerant and a non-drought tolerant variety of maize in different geographical areas over a short, medium and long timeframe.
Client Imperial College of London
Year 2016
TAGS Agriculture

AMIGOClimate

Climate Risk Management
A Software as a Service for customized climate risk assessment
AMIGOclimate aims to develop a new generation of methods and tools for climate risk management for the insurance market. AMIGOclimate integrates into one web platform climate modelling, ground-based and remotely sensed measures of weather variables to provide high level software capabilities for customised climate risk assessment globally, including climate index computation, visualization and reporting.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 854781.
Client European Commission
Year 2018-2019
TAGS Extreme Events, Insurance & Finance

| Why AMIGO is the penguin you need…

AMIGO was founded in 2013 with one mission: to democratise climate information by transforming data into actionable solutions.

With climate change unfolding its impact on our society, the challenge for the next few decades is to empower business for adaptation to climate change through tailored tools and services.

We believe that knowledge and action are the keys to mitigate the effects of climate change, and reliable and accurate climate data and modelling are the way forward to a climate-proof society.

The penguin was an easy choice for our brand identity: penguins are resilient, fast, hydrodynamic, and supportive. They are birds, but they can swim. They experience the fragile equilibrium between local and global conditions by living in Antarctica. They partner for life, and collaborate with each other to survive in the harshest climate situations.

Like penguins, we are reliable and committed. As competent professionals who value cooperation and prioritize your needs and your point of view as a customer, we believe that high technological innovation must be supported by a solid co-designand a constant dialogue with the end users.

We started as consultants, and our first prestigious appointment was in 2015, when we worked at the core of eXtreme Climate Facility, established by the Africa Risk Capacity and the World Food Programme. Within this project, we developed the Extreme Climate Index to classify and quantify extreme weather events through statistical analysis.

We kept developing and improving our solutions, while providing services in Italy, Europe, and Africa through several initiatives funded by the European Commission, the European Space Agency, and other national and international organizations.

Today, we are a multidisciplinary team, with a global network of partners including research institutions, international organizations, highly innovative SMEs, and large enterprises. Our products evolved, and we have developed TERRA, a tool designed to provide climate risk assessment and forecast to be used in insurance and finance, agriculture, infrastructure management and utilities.

We have come a long way to make Amigo your ideal partner to create a resilient society that can face climate change while leaving no one behind.

If you want to join the colony, find out more about our job openings.

Sara Sara Dal Gesso CEO Marco Marco Venturini Scientific Software Engineer Marcello Marcello Petitta Communication Expert Sanda Laura Trentini Data Scientist Federica Federica Guerrini Data Scientist Pinguino Leone Barbieri Climate Scientist Livia Livia Ortolani Agricultural Economist Chiara Chiara Fabrini Office Manager
Sara

SARA DAL GESSO CEO
Understanding Nature and being useful for the environment and humankind motivated Sara to become a climate scientist. After graduating in physics, she flew to The Netherlands to pursue a PhD in Atmospheric science, with a main focus on the clouds response to climate change. Afterwards, she moved to Germany to apply her knowledge on climatology and her experience as modeller to various environmental issues, including extreme precipitation and availability of natural resources for renewable energies. She believes that the way to move forward builds on solid understanding and the ability to predict the future.

Marco

MARCO VENTURINI Scientific Software Engineer
Since he was young, Marco was interested in several things: music, innovation technologies, and climate issues being the main ones. After his degree in Sound Engineering, he decided to study Information Technology and get a MSc Degree with a focus on Big Data. He has developed a critical and scientific approach while maintaining the original attitude of a little boy, curious and captivated by nature and technology. So, he succeeded in cultivating two of his major interests by becoming a Big Data Engineer at Amigo Climate, where he manages infrastructural engines in order to translate climate data into knowledge. And guess what: he still spares time to play his guitar and sing.

Marcello

MARCELLO PETITTA Communication Expert
At 11 years old Marcello wanted to become an astronomer and spent most of his nights watching the stars. One day, he suddenly realized that it was planet Earth and its process is what interested him the most. Now, he is a man of science and a father. As a climate scientist he strives to mix approaches from different disciplines in order to solve complex problems. He believes that the key to finding new solutions is “perspective”. In his career, he has been leading scientific research groups and he is still collaborating with several international research centers. He likes to think of himself as a potential karate champion.

read the CURRICULUM VITAE

Pinguino

LEONE BARBIERI Climate Scientist
Coming from a family of farmers, Leone had to decide whether to become an olive oil producer or a physicist. He was attracted by the use of scientific methods to understand the living world: plants, animals, planet Earth. He started his career as an oceanographer and climate modeller. But that was not quite what he was looking for. So, he decided to quit the comfort of academic research for a journey in the real world: travelling to Africa, talking to farmers, hearing their stories, understanding the terrific challenge of living under the constant threat of climate variability and cooperating with them on innovative methods for managing weather risk. This journey changed his perception of working as a climate scientist. It’s not only about science. It’s about using our knowledge to make decisions and live a better life.

Livia

LIVIA ORTOLANI Agricultural Economist
At the age of 13, Livia went for a trip to Guatemala with her family and since then she wanted to do something useful to improve people’s life, and she has started to build her own personal vision of what ties the people of the world together. She ended up studying Geography and working with Organic Farmers for more than 10 years. She thought that being an agronomist would have been important for her interaction with farmers. Eventually, she realized that not being an agronomist is indeed an advantage when working in participatory research and she developed a skill in the mediation between farmers and researchers. In Scotland, she met the concepts of uncertainty and complexity and ended up doing a Phd in Economics focusing on sustainability and innovation in agriculture. She is now a scientist, with experience in the coordination of multidisciplinary research activities.

Sara

LAURA TRENTINI Data Scientist
Living in a small village in Trentino, Laura was surrounded by nature and mountain landscapes. This has triggered her interest in understanding the importance of care and protection of the environment. After gaining her Degree in Environmental Engineering, she decided to further contribute to the development of scientific and technological research in the field of environmental sustainability with focus on meteorological and climatic studies. Early 2021, she graduated in the double program Master of Science in Environmental Meteorology where she developed her passion for developing algorithms using Python, GIS, R and MatLab. At Amigo, Laura will continue along this path, while keep cultivating her great passion for music by playing piano and taking part in local choirs and bands.

Federica

FEDERICA GUERRINI Data Scientist
Whether as an aspiring skipper or a former food blogger, Federica’s enthusiasm at heart has always been centered on the complex interactions bonding nature and humans. First, while graduating in Environmental and Land Planning Engineering, she started focusing on using technical approaches to study such interactions and mitigating the environmental impacts of human activities. Then, she has been advocating for data-informed actions to tackle environmental issues through her Ph.D. research in Information Technology at Politecnico di Milano, developing models for marine micro-plastic pollution and the chemical exchanges with seawater contaminants. In the future she might take piano and watercolours back, but certainly she will remain a foodie and a professional in environmental care developing novel data-science approaches.

Chiara

CHIARA FABRINI Office Manager
Chiara is the Office manager of Amigo. With a degree in Nordic languages and literatures, her studies focused on the culture and language of the Scandinavian peninsula. Her passion for languages and curiosity about other cultures led her to travel and experience firsthand worlds she had only studied as a student. This, together with her personal interest in issues such as civic and social matters have nourished and enriched her great sensibility that has always been the driving force in her life. She loves reading, studying and staying well informed while learning and admiring the work of those around her.

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