Integrated artificial intelligence to interpret and enhance environmental data
From data to concrete actions: XNatura integrates generative models to transform complex information into operational decisions
AI integrated for the service of nature
Artificial intelligence is integrated into XNatura to simplify the interpretation of environmental data and guide strategic decisions. With LLM models and predictive algorithms, the platform generates real-time insights without the need for manual prompts or external tools.
Smart Monitoring
XNatura processes and translates data from sensors and satellite images into immediate insights. The AI automatically generates descriptions, alerts, and comments that highlight critical KPIs or anomalies, enabling reactive and informed management.
Scientific basis for environmental forecasts
XNatura's proprietary predictive model estimates the probability of environmental events (e.g., loss of biodiversity or soil degradation) in specific areas and time windows. The forecasts help plan preventive actions and prioritize regeneration where it is most needed.
Optimization of natural resources
Thanks to the automatic generation of texts, descriptions, and suggestions, the platform simplifies the creation of business reports, provides recommendations on actions to take, and helps focus resources on high-impact areas.
Main areas of use for integrated artificial intelligence in XNatura
XNatura uses integrated artificial intelligence, based on advanced language models (LLM) and computer vision algorithms, to facilitate real-time understanding of environmental data and support effective strategic decisions.
AI automatically identifies similar areas on satellite images, creating new territorial layers without the need for manual tagging. Example: if a biodiversity strategist has already identified an area planted with sunflowers, the computer vision algorithm finds and automatically tags all other zones with similar crops, speeding up mapping and optimizing land management.
The platform leverages advanced language models (LLM) to automatically generate detailed descriptions and complete content, without the user needing to formulate prompts or copy data from other sources. Example: A project manager automatically receives a concise and clear description of the activities carried out at a site, understandable even to those without technical expertise, facilitating the creation of business reports.
Artificial intelligence automatically generates descriptions of environmental impacts, such as the presence of invasive species or greenhouse gas emissions, and identifies critical dependencies on natural resources. Example: The platform indicates a strong dependence on water at a site and its proximity to a natural source, suggesting optimizing resource use to minimize impact on the ecosystem.
AI generates personalized technical comments and detailed descriptions in every section of the platform, facilitating data understanding and highlighting key information through explanatory texts. Example: An environmental manager can use these automatic descriptions to highlight a critical indicator, with clear explanations of what it represents and which factors influence the results.
The platform's predictive algorithm calculates the probability and economic impact of environmental risks, supporting the definition of priorities and intervention strategies. The forecasts are based on mathematical models and available data; therefore, there may be margins of error. It is advisable to supplement these indications with expert assessments and field data.
AI automatically identifies similar areas on satellite images, creating new territorial layers without the need for manual tagging. Example: if a biodiversity strategist has already identified an area planted with sunflowers, the computer vision algorithm finds and automatically tags all other zones with similar crops, speeding up mapping and optimizing land management.
The platform leverages advanced language models (LLM) to automatically generate detailed descriptions and complete content, without the user needing to formulate prompts or copy data from other sources. Example: A project manager automatically receives a concise and clear description of the activities carried out at a site, understandable even to those without technical expertise, facilitating the creation of business reports.
Artificial intelligence automatically generates descriptions of environmental impacts, such as the presence of invasive species or greenhouse gas emissions, and identifies critical dependencies on natural resources. Example: The platform indicates a strong dependence on water at a site and its proximity to a natural source, suggesting optimizing resource use to minimize impact on the ecosystem.
AI generates personalized technical comments and detailed descriptions in every section of the platform, facilitating data understanding and highlighting key information through explanatory texts. Example: An environmental manager can use these automatic descriptions to highlight a critical indicator, with clear explanations of what it represents and which factors influence the results.
The platform's predictive algorithm calculates the probability and economic impact of environmental risks, supporting the definition of priorities and intervention strategies. The forecasts are based on mathematical models and available data; therefore, there may be margins of error. It is advisable to supplement these indications with expert assessments and field data.
Advanced technology and artificial intelligence to protect and monitor biodiversity, creating a sustainable future connected with nature. Advanced technology and artificial intelligence to protect and monitor biodiversity, creating a sustainable future connected with nature.
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Case Studies
Explore our case studies and discover how companies use XNatura, integrating biodiversity monitoring into their activities.
Companies that have chosen XNatura
Choosing XNatura means adopting an innovative, data-driven approach. This ensures transparency and full compliance with environmental regulations.
We are monitoring the impact of our assets on biodiversity, improving it through regeneration efforts such as the creation of our Oases, and increasing our impact by raising awareness among local students.
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With XNatura we are able to assess the impact of our clients, such as mines, on local ecosystems, understanding the levels of biodiversity degradation.
We are proud and happy to lead this important project as Parco delle Groane e della Brughiera Briantea, which once again sees us collaborating with leading Italian universities and organizations that have long been active in our region. Biodiversity is essential for our planet, and its loss is one of the most urgent emergencies we must address today.
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Together with XNatura we are protecting and monitoring biodiversity through the Oases of the Cassa Centrale - Credito Cooperativo Italiano Group, where our goal is to promote projects that protect the natural environment and biodiversity.
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Through our collaboration with XNatura, we have deployed technological solutions to foster respect for nature and the ecosystem, creating sustainable value for future generations.
The issue of biodiversity has always been central to the strategies of Mutti, whose business revolves entirely around a product of the earth, a symbol of Made in Italy in the world: the tomato. Precisely for this reason, within our Green Strategy, we have initiated a program of ecosystem restoration and rehabilitation, which starts from the very land where we have our production facilities. The collaboration with XNatura is therefore essential for us, in order to give scientific validation to our projects and help us in building a long-term strategy that will help us grow and bring increasing value to the environment.
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We are proud to work alongside XNatura's 3Bee project to monitor and regenerate biodiversity in Europe. We started by monitoring honeybees and are expanding the project to regeneration. Through communication on Foxy Love the Bee products and to consumers, we can help spread this awareness and do our part for a more sustainable planet.
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With XNatura, we are monitoring about 1.000 hectares of our supply chain aiming to understand the level of biodiversity and its relationship with our farms.
We decided to give priority to the natural capital of the Group by monitoring 16k ha. We are developing a long-term strategy to enhance the ecosystem services of our assets in collaboration with Generali Country Sustainability & Social Responsibility.
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Respect is one of the core values of Cherry Bank's governance. This world is what we all have in common. Creativity, sensitivity, and innovation are needed to find a balance between new needs and respect for Nature's resources. It’s not the trees that will save the planet, but humankind.
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We are deeply committed to protecting biodiversity and integrating sustainability into our projects. Our initiatives support wildlife, agriculture, and regenerative efforts, to create long-term impacts for a more sustainable future.
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Contact us for information about the platform or for specialized consulting in the environmental field.