Top 50 Ai For Climate Modeling in LATAM

This startup develops a technology platform that connects insurance providers, reinsurers, and end-users through real-time data analytics and automated IT infrastructure to deliver climate insurance solutions. It addresses the financial vulnerability of individuals and businesses affected by natural disasters by providing timely access to coverage and support.

Biotango utilizes genomic editing and climate data analysis to enhance the productivity and quality of fruit crops, addressing the significant food waste and economic losses in agriculture. By predicting crop behavior under varying climatic conditions, the company aims to improve yield efficiency and reduce losses in fruit production by up to 30%.

Lemu provides a nature data platform that utilizes satellite imagery, artificial intelligence, and citizen science to deliver over 30 environmental indicators for assessing ecosystem health. This technology enables companies to make informed, nature-based decisions, optimize resources, and comply with environmental regulations.

Moss provides a cloud‑based sustainability intelligence platform that aggregates IoT sensor data, satellite imagery, and third‑party environmental datasets into a unified dashboard. The solution visualizes real‑time KPIs such as carbon emissions, water usage, and biodiversity, and applies predictive analytics and automated alerts to help corporate sustainability teams identify compliance gaps, optimize resource use, and generate ESG reports.

Drovid Technologies offers a platform-as-a-service (PaaS) that utilizes artificial intelligence and drone technology to monitor forests for early detection of wildfires caused by human activity. By identifying small fires and potential negligence in real-time, the solution aims to prevent large-scale forest fires and mitigate their impact on ecosystems and communities.

Solinftec offers ALICE, an AI‑driven SaaS platform that ingests and analyzes hundreds of millions of daily data points from farm equipment, IoT sensors, and weather sources. It provides real‑time alerts, predictive analytics, and automated recommendations to optimize spraying schedules, routing, and input use, helping large growers and agronomy service providers reduce waste and improve profitability.

DEEP ESG provides software solutions for measuring and managing ESG data, including carbon emissions across scopes 1, 2, and 3. The platform enables businesses to quantify their environmental impact and track the effectiveness of their sustainability initiatives, facilitating informed decision-making for improved sustainability outcomes.

Acquora utilizes satellite imagery and AI-driven analytics to optimize water resource management for businesses, enabling real-time monitoring and predictive insights. This technology helps organizations reduce operational costs and environmental impact while enhancing sustainability practices.

Satellitesonfire provides a unified fire protection platform that merges satellite imagery refreshed every 10 minutes with AI‑driven analysis and tower‑mounted cameras to detect and monitor wildfires in near real‑time. Its AI engine, built by experts from NASA and ESA, generates alerts, predicts fire spread, and offers historical risk reports to help forest managers and emergency services design effective prevention strategies.

The startup offers a predictive model automation platform that utilizes customizable algorithms to generate scalable AI-driven insights for business decision-making. By providing production model deployment and demand estimation services, the platform enables clients to enhance their strategic and tactical planning with data-driven accuracy.

Agrosmart provides data-driven climate intelligence and agronomic insights to over 100,000 farmers across Latin America, enhancing their resilience to climate variability and improving crop profitability. The platform also offers end-to-end sustainability solutions for agroindustries, enabling them to monitor and report on key environmental, social, and governance indicators.

The startup provides a platform that utilizes AI and collective intelligence to map the innovation ecosystems surrounding urgent socio-environmental challenges, enabling mission-driven investors to identify high-impact solutions from diverse organizations. By streamlining deal flow and enhancing investment strategies, the platform addresses the fragmentation in funding transformative innovations.

The startup develops an edaphoclimatic analysis model that integrates climate, soil, CO2, and water assessments to enhance the sustainability of farming ecosystems. By providing precise environmental data, the technology enables farmers to optimize resource use and improve crop yields.

The startup develops a geospatial data intelligence platform that integrates multispectral and hyperspectral satellite and drone imagery with machine learning algorithms for environmental and water body monitoring. This technology enables clients to efficiently track changes in ecosystems and agribusiness, providing actionable insights for sustainable management.

Fiter provides a SaaS platform that uses AI and neuroscience-based pulse measurements for continuous employee engagement and climate surveys. It delivers real-time data and predictive analytics to help HR leaders understand workforce sentiment, reduce turnover, and improve performance.

SciCrop is a big data analytics platform that integrates internal, supplier, and IoT data to provide tailored dashboards and machine learning insights for agricultural operations. The platform enables farmers and agribusinesses to enhance productivity and decision-making through real-time geographic and weather analytics.

The startup operates an environmental monitoring platform that utilizes robotics, IoT, and artificial intelligence to collect and analyze data for the energy industry. This technology enables companies to reduce operational costs and environmental impact by facilitating faster, data-driven decision-making.

The Climate Box provides frost forecasting software that analyzes microclimatic conditions to help farmers implement targeted frost protection measures. By reducing the risk of frost damage, the platform aims to minimize crop losses, which account for nearly 20% of global agricultural production.

Decimetrix develops scalable technology solutions that utilize data analytics and machine learning to quantify and mitigate environmental impact. The company focuses on providing actionable insights for businesses to reduce their carbon footprint and enhance sustainability practices.

Beeok provides a digital platform that utilizes artificial intelligence to manage environmental compliance, carbon emissions, and plastic waste for businesses in Latin America. The software streamlines regulatory adherence and sustainability reporting, significantly reducing the time and effort required for companies to meet legal requirements and minimize their environmental impact.

Provides a machine learning-powered SaaS platform for real-time energy management, enabling businesses to monitor consumption, identify inefficiencies, and receive actionable recommendations for cost reduction. The system centralizes energy data, automates allocation across processes, and integrates with third-party applications via API, improving operational efficiency and sustainability.

The startup develops geostatistical modeling software that integrates artificial intelligence to enhance accuracy in mineral resource estimation for mining companies. This technology improves operational efficiency and supports sustainable practices by optimizing resource allocation and reducing environmental impact.

Neocrop is an agro-biotech startup utilizing CRISPR gene editing and speed breeding techniques to develop resilient crop varieties that require fewer pesticides and offer enhanced nutritional value. By addressing the challenges of climate change and food security, Neocrop accelerates the creation of high-yield, drought-resistant seeds in record time, supporting the agricultural industry in Latin America.

Lagrange.AI provides an artificial intelligence platform that utilizes process mining algorithms to automate data processing and optimize supply chain networks. The technology enables real-time monitoring and analysis, helping companies reduce operational costs by 30% and carbon footprints by 20% while enhancing network visibility by 80%.

Zaya provides environmental management software that simplifies the calculation of greenhouse gas emissions, carbon footprints, and life cycle assessments using established scientific methodologies like the GHG Protocol. This platform enables companies to efficiently measure their environmental impact, ensuring compliance with regulatory standards while enhancing operational efficiency and sustainability efforts.

The startup develops AI-powered applications that enhance decision-making by analyzing large datasets and providing actionable insights. This technology enables organizations to make data-driven choices more efficiently, reducing uncertainty and improving operational outcomes.

Celeste is a financial AI platform that quantifies corporate water risk and translates it into measurable financial exposure for sustainability, finance, and risk teams. The platform optimizes mitigation strategies by modeling investment ROI and identifying the most valuable resilience projects. It facilitates coordinated co-investment by connecting organizations with shared basin risks to scale impact and unlock catalytic capital.

Hybrid AI provides a cloud-native platform that integrates physics‑based simulation models with machine‑learning algorithms to deliver real‑time predictive and prescriptive analytics for utility, oil‑and‑gas, and renewable‑energy operators. The solution includes data pipelines, model management, and dashboards for optimization, predictive maintenance, and emissions reduction, available via SaaS or Model‑as‑a‑Service modules.

The startup develops predictions-based artificial intelligence software that analyzes data to create accurate predictive models, minimizing human error. This technology enhances operational efficiency and competitiveness for clients across various business processes by transforming raw data into actionable insights.

EMMA is an energy management platform that utilizes artificial intelligence to analyze consumption data and provide real-time alerts and personalized recommendations. The solution enables companies to reduce energy usage and carbon emissions by 5% to 20%, optimizing operational efficiency and resource utilization.

The startup offers a collaborative platform for creating, training, and testing artificial intelligence agents using machine learning frameworks. This platform enables teams to streamline the development process, enhancing productivity and accuracy in AI deployment.

Iotera offers a universal IoT platform that aggregates data from diverse industrial applications, enabling enhanced business operations through advanced technologies. The platform integrates cloud computing, IoT connectivity, AI, and security to deliver scalable and efficient applications for sectors like viticulture, smart cities, and environmental monitoring.

Visão Coop connects communities with scientific expertise and technology to address social and environmental challenges. Their platform facilitates collective intelligence, transforming local knowledge into data-driven solutions for climate adaptation and territorial resilience.

The startup employs artificial intelligence and predictive modeling to evaluate disease prognosis in agricultural settings, enabling farmers to foresee crop health challenges. This technology enhances crop yield and minimizes losses by providing timely insights into potential health issues.

The startup provides customizable, scalable AI models via API integration for open-pit industries, enhancing operational efficiency and decision-making processes. Their technology addresses the need for tailored data solutions that seamlessly fit into existing business workflows.

DataSpoc offers a NoCode AutoML platform that enables businesses to rapidly create proprietary AI models, reducing development time by up to 83% and costs by 80% compared to traditional data science teams. The platform automates data preparation, model training, and deployment, allowing companies to leverage data-driven insights for improved decision-making without the need for extensive technical resources.

The startup is developing a virtual solar power plant that utilizes advanced simulation and modeling techniques to rapidly design and deploy solar energy systems. This approach addresses the urgent need for scalable renewable energy solutions to meet increasing energy demands and reduce carbon emissions.

Green Balance is a climate fintech hub offering solutions for sustainability. They leverage advanced technologies to help businesses and individuals calculate and offset carbon footprints, adopt renewable energy, and convert financial data into sustainable actions. Their goal is to simplify access to sustainability and foster a greener future.

Ivrim offers an AI-powered data analytics platform that processes complex datasets to uncover hidden trends and opportunities. Its proprietary engine delivers precise analytics and predictive modeling, providing businesses with data-driven recommendations to optimize performance and inform strategic decisions.

This company provides a platform that uses satellite imagery and AI to monitor surface water quality. Their service measures parameters like nitrogen, phosphorus, and dissolved oxygen, enabling users to track changes and identify pollution events globally.

BioDynamics delivers an end‑to‑end platform that combines industrial‑grade sensors with cloud‑based AI analytics to continuously monitor temperature, humidity, soil moisture, nutrient levels, and equipment vibration on large farms and greenhouse operations. The service provides real‑time dashboards, predictive KPI reports, and a closed‑loop automation layer that can trigger actuators such as irrigation valves and climate controls to optimize resource use and reduce waste.

TempoAlerta utilizes AI-driven algorithms to provide real-time flood forecasting through an API, enabling hourly updates for up to six days in advance. This technology enhances disaster preparedness and response in urban areas, aiming to reduce the impact of climate-related events on communities in Brazil.

Meu Carbono provides a digital platform for calculating and managing greenhouse gas emissions. It offers tools for Scope 1, 2, and 3 emissions tracking and generates personalized reduction strategies to help organizations and individuals achieve their sustainability goals.

Hidrofuturo provides advanced technology solutions for comprehensive water resource management in Chile. Their platform offers high‑resolution hydrological modeling, predictive analytics, and early‑warning forecasts to help agencies assess risks and optimize water allocation. Additionally, they deliver interactive geospatial visualizations, including 3D terrain modeling, to support spatial analysis and decision‑making for water authorities and stakeholders.

ZNIT provides sustainability reporting and analysis solutions that utilize existing ERP data to automatically generate CO2 emissions reports through generative AI. The platform connects businesses with carbon offset projects tailored to their specific needs, enhancing corporate responsibility and environmental impact.

Bioflore develops remote sensing and artificial intelligence platforms that utilize LiDAR, satellite imagery, and drone data to monitor carbon stocks and biodiversity in forest ecosystems. The company provides precise measurement and reporting tools for environmental projects, enabling effective management of conservation and restoration efforts while facilitating access to carbon credit markets.

Green:Nexus is an AI-driven platform that utilizes satellite imagery and advanced data analytics to provide reliable forest accreditation for carbon credit markets. By consolidating diverse data sources, it enhances transparency and security in projects related to reforestation, regeneration, and avoided deforestation, ensuring accurate carbon credit assessments.

Neutral Farming utilizes Artificial Intelligence to create Digital Twins that replicate farm realities for optimization of agricultural management. The platform unifies field data to provide actionable recommendations for irrigation and nutrition, aiming to increase profitability. This technology allows farmers to precisely measure and improve sustainability metrics like CO2 impact, water efficiency, and soil health.

This startup provides sustainable energy solutions as a service for heavy industries, ensuring operational continuity and aiding their adaptation to climate change. They offer a reliable and environmentally friendly energy supply to power industrial operations.

The startup offers a climate-tech platform that utilizes farmers' data, public databases, and artificial intelligence to provide actionable insights for achieving carbon neutrality in regenerative agriculture. By enabling real-time management of field and crop information, the platform helps users minimize their carbon footprint and obtain sustainability certifications efficiently.