Top 50 Climate Risk Analytics

Provides a climate risk analytics platform that quantifies physical climate risks at the asset and portfolio levels, translating potential weather-related events into financial loss metrics. This enables businesses in banking, real estate, and insurance to integrate climate assessments into their operations, optimize adaptation investments, and reduce long-term financial exposure.

Sust Global provides climate risk analytics and APIs that integrate geospatial AI with climate models and satellite data to deliver precise assessments of physical climate hazards affecting global assets. This enables institutional investors to incorporate climate-related risks into their financial decision-making and compliance processes.

Eoliann provides a climate analytics platform that utilizes APIs to deliver real-time assessments of asset vulnerability and risk associated with climate events. This technology enables financial institutions and insurers to quantify the probability and impact of natural disasters, addressing the significant underestimation of climate risks in the industry.

The startup offers a climate intelligence platform that utilizes advanced climate data analytics to visualize climate risks for companies globally. By identifying vulnerabilities in infrastructure and supply chains, the platform enables businesses to proactively manage potential climate impacts.

This environmental intelligence platform provides real-time environmental data and predictive analytics to help governments and companies manage climate risk. It offers visualizations, reports, and alerts to support informed decision-making for safety, operational efficiency, and natural disaster preparedness.

The startup develops a data analytics platform that integrates climate and enterprise risk management to provide actionable insights on financial impacts for corporate businesses. By translating risk science into quantifiable metrics, the platform enables organizations to make informed decisions regarding their risk exposure.

Mitiga Solutions provides climate risk intelligence through high-performance computing, AI, and scientific modeling to assess exposure to climate hazards such as flooding, wildfires, and heat stress. Their technology enables businesses to evaluate risks in their asset portfolios and optimize resilience planning, ensuring compliance with regulatory requirements.

Arbol provides climate risk coverage solutions that leverage data analytics to quantify exposure to climate-related hazards. The company offers customized insurance products that help businesses mitigate financial losses from climate risks, enhancing their operational resilience.

Reask develops machine learning-based climate forecasting tools and probabilistic hazard models to provide precise risk assessments for extreme weather events. Their technology enables insurance firms, financial markets, and governments to quantify and anticipate natural catastrophe risks, facilitating informed decision-making and risk management.

Teren leverages geospatial data analytics to provide organizations with actionable insights that enhance climate resilience for infrastructure and assets. By identifying and quantifying climate-related risks, Teren helps ensure operational continuity and protect valuable resources against the impacts of climate change.

The startup develops a sustainability platform that utilizes artificial intelligence to generate hyperlocal risk maps and automated climate risk diagnostics for natural disasters like floods and earthquakes. This technology enables public and private enterprises to implement tailored climate action plans and manage climate-related risks effectively.

The startup operates a climate risk assessment platform that utilizes real-time hazard and probabilistic risk modeling to analyze global supply chains. By providing actionable insights on raw material availability and delivery disruptions, the platform enhances resilience against climate change and emerging risks.

ClimateAI provides an AI-powered climate resilience platform that utilizes patented machine learning models to analyze hyper-local climate and weather data, enabling businesses in the food and agriculture sectors to make informed operational decisions. The platform helps companies mitigate physical climate risks by delivering actionable insights and customizable dashboards, enhancing supply reliability and productivity.

The startup develops a data analytics platform that utilizes cloud computing to integrate multiple predictive models, processing data from ground-based and satellite sensors. This technology enables businesses to anticipate and prepare for the impacts of climate change and weather-related disasters on their global assets.

Celest.Science provides AI-powered insights into future water-related climate risks, ranging from weeks to a decade ahead. Their tools help customers proactively assess and adapt to changing climate conditions by blending AI with climate science to predict water risks. This enables better planning and mitigation strategies for water-related challenges.

kWh Analytics provides data-driven climate insurance and portfolio analytics specifically for solar energy assets, utilizing a comprehensive database to assess risks in the renewable energy sector. Their solutions protect solar investments from financial losses due to environmental factors, enhancing the resilience of solar portfolios.

The startup offers an environmental intelligence platform that utilizes advanced asset observation technology to provide precise insights on energy-transition risks and climate impacts. This platform enables decision-makers in government, corporate, and investment sectors to evaluate the effects of energy and industrial activities on climate, facilitating informed and timely decisions to mitigate greenhouse gas emissions and protect ecosystems.

Nithio Holdings is a climate fintech platform that utilizes a Risk Analytics Engine powered by AI and geospatial data to standardize credit risk assessments for clean energy investments in Africa. The company addresses the lack of climate finance in underserved markets by providing risk-informed debt to distributed energy companies, enhancing access to clean energy and building climate resilience.

MioTech is an artificial intelligence platform that provides ESG data and analytics to help financial institutions, corporations, and governments manage sustainability challenges, including carbon emissions reduction and climate risk assessment. By delivering actionable insights and consulting services, MioTech enables clients to enhance their environmental responsibility and achieve net-zero goals.

7Analytics provides ultra-high-resolution flood risk intelligence at a 1-meter resolution, enabling insurers, reinsurers, and banks to achieve more accurate risk selection and portfolio management. Their platform uses proprietary machine learning and geoscience models to predict flood depth and extent at the property level, offering both chronic and acute risk assessments for enhanced climate resilience.

Kettle utilizes machine learning models to assess property risk from climate-related catastrophes, accurately predicting wildfire and hurricane impacts based on extensive satellite and weather data. The company provides insurance and reinsurance solutions for property owners facing increased rates or loss of coverage due to the escalating risks associated with climate change.

ISeeChange offers a data platform that converts citizen observations into actionable intelligence for infrastructure operators. It integrates community-generated reports with climate and sensor data, using AI to identify and analyze climate impacts for better risk management and infrastructure planning.

TELLUS AI combines artificial intelligence with physical climate models to deliver high-resolution forecasts of water-related risks, including droughts and floods, from weeks to several years in advance. This technology provides businesses with actionable insights to enhance operational resilience and strategic planning in the face of increasing climate volatility.

ClimateForge provides an AI-driven analytics platform that quantifies physical and transition climate risks for financial portfolios. It integrates diverse climate data to deliver granular, forward-looking insights into asset-level impacts, enabling informed capital allocation and regulatory compliance.

Provides AI-driven climate risk analytics and scenario planning tools that help organizations assess and integrate climate-related risks and opportunities into their corporate strategy. By embedding environmental performance and sustainability into governance, risk management, and operational processes, it enables businesses to improve resilience, meet regulatory requirements, and enhance long-term financial and societal value.

EarthCare.ai provides a climate intelligence platform that simplifies access to 30 years of historical and 75 years of predictive climate data through a user-friendly API. This technology enables businesses in the energy, insurance, and finance sectors to make informed decisions, reducing the $300 billion in annual damages caused by severe weather events.

Resilient provides a platform that quantifies potential financial losses from climate-related events for industrial companies, utilizing a methodology that incorporates both the probability and intensity of climate scenarios. This enables businesses to prioritize adaptation measures based on measurable data, ensuring compliance with climate risk reporting standards.

CLIMADA offers a science-based climate risk analytics platform that quantifies physical asset exposure to climate events. Its probabilistic modeling and globally consistent methodology provide actionable insights for regulatory compliance and strategic asset management.

Earthian AI offers an AI-powered platform that provides asset-level climate risk insights for financial institutions and insurers. It leverages a Geo-specific Large Language Model and extensive datasets to automate the analysis of natural catastrophe, biodiversity, and ESG compliance risks, significantly reducing workload and improving accuracy.

This climate analytics platform uses AI to transform climate data into financial insights. It helps businesses quantify value, augment decisions, and streamline reporting, enabling data-driven strategies to address climate challenges.

Viridian provides a big data and AI-driven solution for investors to assess climate-related physical, transitional, and sustainability risks at a facility level, enabling precise financial impact quantification. This technology addresses the critical need for reliable, granular climate risk data throughout the investment lifecycle, enhancing decision-making and portfolio management.

This startup develops a real estate analysis tool that automates risk assessments for climate-related disasters, starting with flooding and expanding to other hazards like drought and wildfire. By generating prioritized preventive measures, the software enables property owners to implement effective strategies that mitigate potential climate damages.

finres provides a data-driven platform that utilizes machine learning and agroeconomic modeling to assess climate risks in agriculture. By integrating climate science data with localized meteorological observations, the company enables farmers to prioritize adaptation investments and enhance resilience against climate extremes.

Spatial Risk Systems provides a geospatial data platform that aggregates and standardizes climate, carbon, and socio-economic data to enable precise facility-level risk analysis for investors and underwriters. This technology addresses the challenge of fragmented and costly risk assessment by delivering a unified knowledge graph that enhances decision-making through detailed insights into environmental vulnerabilities at specific asset locations.

Provides an AI-driven climate risk assessment platform that integrates historical, real-time, and projected climate data with socio-economic and asset-level exposure information. This enables governments, businesses, and communities to quantify and manage risks from extreme weather events, supporting proactive adaptation and resilience planning through localized insights and real-time dashboards.

Terrafuse develops AI-driven climate intelligence tools that analyze environmental data to generate precise climate risk assessments for businesses and governments. This technology enables users to make informed decisions regarding climate change impacts, enhancing resilience and strategic planning.

Weather Trade Net provides a self-service platform that delivers location-specific physical climate risk metrics and analytical reports, enabling companies to quantify and understand the financial impacts of climate hazards on their operations. By integrating diverse data sources and predictive modeling, the platform facilitates compliance with evolving climate-related reporting standards and supports informed decision-making in risk management.

This startup provides a climate intelligence platform that uses AI and data analytics to assess climate risks for buildings and infrastructure. It offers future-oriented scenario analysis and specific adaptation measures, helping asset owners de-risk properties and enhance resilience against climate change.

Geoneon utilizes AI-driven geospatial data analysis to quantify climate physical risks, enabling stakeholders to make informed decisions and enhance reporting. Their technology provides precise vegetation mapping and wildfire severity predictions, addressing the complexities of climate risk management for organizations of all sizes.

Stewards AI provides local governments with a Municipal Impact Intelligence Platform. This AI-driven solution offers predictive analytics and scenario modeling to assess climate risks and optimize resource allocation for sustainability initiatives.

Climind is a platform that utilizes Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) to provide precise climate risk assessments and generate ESG climate disclosure reports. By integrating corporate climate data with mitigation strategies, Climind enhances decision-making for industries transitioning to low-carbon operations.

Azard offers a climate adaptation intelligence platform that quantifies the financial impact of climate risks across an organization's value chain. It uses localized climate data and advanced modeling to map cascading impacts and provide actionable insights for resilience planning.

ÁCARA CLIMATE provides a risk management platform that utilizes predictive climate risk models to assess the financial impacts of climate change on agricultural portfolios. The platform enables financial institutions to quantify climate risks, optimize sustainable lending and investment strategies, and ensure compliance with international disclosure standards.

CI Metrics provides image processing and machine learning analytics for satellite and drone data, enabling precise measurement and monitoring of climate risks. The company develops customized risk indices by fusing satellite imagery with terrestrial datasets, delivering actionable insights for sectors such as agriculture and defense.

Resilient Analytics provides a proprietary Integrated Predictive Simulation System (IPSS) that enables organizations to assess and mitigate the risks associated with climate change impacts. This technology allows businesses to make data-driven decisions to enhance their resilience against environmental disruptions.

Woza Labs develops a geospatial intelligence platform that integrates remote sensing, AI, and predictive analytics to provide actionable insights for businesses and governments facing challenges related to sustainability and climate risk. Their ready-to-use tools enable organizations to enhance decision-making, improve operational efficiency, and achieve significant cost savings in addressing environmental impacts.

This startup provides high-resolution satellite imagery and analytics for Earth observation, focusing on climate change impact assessment and sustainable agriculture. Their platform helps businesses assess climate risks and optimize farming practices for profitability and sustainability.

This startup develops AI agents that provide climate resilience decision-making support. Their platform helps organizations analyze climate data and generate actionable insights to mitigate risks and adapt to environmental changes.

Cervest provides a cloud-based platform that utilizes AI to deliver on-demand climate risk analysis, enabling organizations to assess their exposure to hazards like flooding and drought at both asset and portfolio levels. This technology facilitates compliance with regulatory reporting requirements and informs investment decisions by offering insights into climate-related risks across multiple scenarios and time horizons.

The startup operates a weather projection platform that utilizes data analytics to convert climatic conditions into tailored risk indicators. This technology enables communities and businesses to assess climate risks, facilitating sustainable development and protecting local populations from adverse weather impacts.