Top 50 Ai For Climate Modeling in Latin America

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.

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.

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.

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.

EnCharge AI develops a scalable analog in-memory computing platform that enhances AI performance by achieving 20 times higher efficiency and 10 times lower total cost of ownership compared to traditional GPU solutions. This technology enables on-device processing, significantly reducing CO2 emissions and ensuring data privacy while making advanced AI accessible beyond cloud infrastructure.

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.

Syos develops IoT and AI solutions for real-time monitoring of temperature and humidity in the pharmaceutical and food distribution sectors, utilizing wireless sensors that provide data every five minutes. This technology minimizes manual processes and alerts users to dangerous variations, helping to prevent product loss and ensure quality throughout the supply chain.

Instacrops is a full-stack agricultural technology platform that utilizes machine learning and artificial intelligence to provide real-time monitoring and recommendations for irrigation, nutrients, pests, and diseases. By enabling farmers to make informed decisions based on precise data, the platform minimizes risks and enhances crop profitability.

Provides a modular platform that integrates tools for carbon footprint calculation, automated mobility tracking, and sustainable product scoring into existing applications via API or SDK. Helps organizations and municipalities meet EU waste separation goals, reduce carbon emissions, and comply with sustainability regulations by offering precise measurement, reporting, and user engagement solutions.

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.

Provides data science, machine learning, and artificial intelligence consulting to help organizations in Colombia and LATAM leverage data for improved decision-making, operational efficiency, and cost reduction. Specializes in developing predictive models, optimizing processes, and implementing AI strategies tailored to industries such as healthcare, finance, agriculture, and retail.

Picsel provides a digital platform for farmers to quote, contract, and manage crop insurance, utilizing satellite imagery and climate data for precise monitoring of insured areas. The platform enhances transparency and efficiency in claims management, reducing the risk of fraud and improving response times for loss assessments.

Toroto provides end‑to‑end nature‑based restoration services that rehabilitate degraded ecosystems to capture carbon and enhance hydrological functions. It integrates field diagnostics, GIS/LiDAR mapping, community‑driven design, and continuous monitoring via satellite imagery and IoT sensors to generate verifiable carbon sequestration and water‑recharge metrics compliant with standards such as Verra and Gold Standard. The solution serves corporations, water utilities, government agencies, NGOs and landowners seeking certified climate and water‑resource interventions.

D-Matrix has developed Corsair, an AI inference platform that achieves 60,000 tokens per second with 1 ms latency for Llama3 8B models, significantly enhancing throughput and energy efficiency in datacenters. This technology addresses the high computational costs and energy consumption associated with large-scale AI inference, enabling organizations to scale their AI capabilities sustainably.

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.

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.

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.

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 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.

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.

Celeste is a climate adaptation platform that connects companies with suppliers to assess and mitigate water risks in their supply chains through data sharing and collaborative goal-setting. By enhancing transparency and accountability, Celeste helps businesses reduce their water footprint and ensure supply chain stability in the face of climate-related challenges.

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 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.

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.

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.

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.

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.

Zero Company provides a platform that automates greenhouse gas (GHG) data capture and carbon accounting for businesses, enabling them to measure, reduce, and report emissions across their entire supply chain. By integrating advanced analytics and carbon offset purchasing, the platform simplifies the path to carbon neutrality while ensuring compliance with industry standards.

SIENTIA™ is an AIOps platform that enables the seamless deployment of AI models in Operational Technology environments, transforming Proofs of Concept into production-ready solutions. By integrating industry data, SIENTIA™ accelerates AI scalability and operational efficiency for heavy-asset industries, delivering measurable results in under one second of inference time.

Compensa provides a digital platform for calculating and managing corporate carbon emissions using methodologies aligned with the GHG Protocol and ISO 14000 standards. The solution enables businesses to assess their carbon footprint, explore reduction strategies, and compensate for emissions through verified carbon credits, facilitating their transition to carbon neutrality.

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.

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.

Elysios provides agricultural intelligence solutions through its Demetra platform, which integrates supply chain management, digital field notebooks, and climate monitoring sensors to enhance crop management. By automating processes and offering real-time data, the platform can increase crop profitability by up to 30% while ensuring food safety and sustainability.

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 develops a network of automated air quality sensors that detect pollen levels in real-time, combined with a symptom-reporting application and AI models. This technology enables allergy sufferers to receive timely alerts and predictions, allowing them to manage their symptoms proactively before exposure occurs.

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.

CampoGreen offers a cloud‑based platform that aggregates high‑resolution satellite imagery, IoT field sensors, and farm management data into a unified analytics environment. The system applies machine‑learning models to deliver yield forecasts, irrigation schedules, pest risk alerts, and automated regulatory reporting via a web dashboard and digital field notebook. It also provides consulting to translate insights into parcel‑specific agronomic recommendations for commercial farms and agribusiness stakeholders.

Sagence AI develops analog in-memory compute technology that delivers high-performance AI inference with 100X lower power consumption and 20X lower costs compared to traditional digital solutions. This approach addresses the limitations of increasing digital chip densities and energy demands, making AI more economically viable and sustainable for widespread applications.

Sagence AI develops analog in-memory compute technology that delivers high-performance AI inference with 100X lower power consumption and 20X lower costs compared to traditional digital solutions. This approach addresses the limitations of increasing digital chip densities and energy demands, making AI more economically viable and sustainable for widespread applications.

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.

wseeds provides an integrated agritech platform that optimizes crop production and farm profitability. The solution uses IoT sensors for real-time environmental and soil monitoring, combined with AI-driven analytics for actionable insights and a blockchain-based system for supply chain transparency.

AdaptaPLUS provides a cost-effective platform for quantifying and monitoring the environmental impact of agricultural supply chains through data analytics and lifecycle assessment methodologies. This solution enables stakeholders to identify inefficiencies and implement improvements, ultimately reducing their ecological footprint.

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 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.

Wisebyte provides integrated technology solutions for energy and telecommunications companies, combining high-complexity software, AI, and IoT hardware. Their offerings optimize operational processes, enhance data visualization, and enable data-driven decision-making through custom systems and advanced analytics.

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.

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.