Top 50 Climate Risk Analytics - Pre Seed

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.

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.

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.

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 provides a platform that enables building owners to assess and mitigate sustainability risks through real-time data analytics and predictive modeling. This technology helps identify potential environmental impacts and compliance issues, allowing owners to make informed decisions that enhance operational efficiency and reduce long-term costs.

The startup develops climate intelligence software that aggregates and analyzes data to optimize project prioritization for sustainability initiatives. Its platform enables sustainability managers to make informed decisions that maximize impact on environmental, social, and economic 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.

RIFFI AI offers an Earth Observation platform that uses AI-driven analysis of hyper-multispectral satellite imagery to monitor and forecast environmental changes. By integrating geospatial, meteorological, and geological data, it provides precise insights for early warning systems and climate risk assessment.

Spottitt provides satellite-derived risk analytics specifically for the energy, environment, and infrastructure sectors. The company delivers precise insights into environmental hazards and operational risks, enabling organizations to make informed decisions and enhance resilience.

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.

Floodlight provides asset-level geospatial data intelligence through ground sensors and aerial satellites, enabling precise emissions measurement and risk assessment for businesses. Their platform delivers weekly reports and on-demand analytics to help organizations meet regulatory compliance and net-zero commitments effectively.

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.

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.

CentOS provides a platform for identifying potential risk areas using satellite imagery and community-driven data analysis. This technology enables organizations to monitor environmental changes and assess risks effectively, enhancing decision-making in risk management.

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.

The startup operates a climate fintech platform that provides green investment funds and loans to businesses through advanced credit and risk scoring models. By simplifying the origination, allocation, and securitization of green loans, the platform makes climate transition financing accessible and affordable for companies seeking to implement sustainable practices.

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.

The startup offers a climate data management platform that collects emissions data and automates compliance reporting for businesses. By providing actionable insights, the platform enables companies to make informed decisions that effectively reduce their environmental impact.

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.

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.

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.

The startup is creating the world's first all-in risk engineering solution that integrates advanced analytics and predictive modeling to assess and quantify risks across various sectors. This technology enables organizations to make informed decisions by providing a comprehensive view of potential vulnerabilities and their financial impacts.

The startup provides a user-friendly platform that enables companies to evaluate and quantify climate change and cybersecurity risks through advanced risk assessment algorithms. This solution offers businesses a reliable method to identify vulnerabilities and enhance their resilience against environmental and digital threats.

The startup develops a weather forecasting and analytics platform that utilizes data science and remote sensing techniques to deliver real-time, hyper-local weather data to private enterprises and governments. This platform enables clients to effectively manage the financial impacts of climate change by providing precise forecasts tailored to their specific needs.

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.

The startup offers a cloud-based ESG platform that provides audit-ready environmental, social, and governance data for businesses and financial institutions. This technology enables clients to obtain accurate ESG metrics, reducing instances of greenwashing and green-hushing while facilitating effective climate action and data analysis.

Hypermeteo utilizes high-resolution digital territorial grids to deliver precise meteorological data and services. This technology provides accurate weather forecasting and environmental monitoring, which are critical for industries that depend on reliable climate information.

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.

Suyana provides AI-powered climate insurance solutions to protect against flooding, hurricanes, and drought. Their platform uses machine learning and digital technologies to make climate insurance more accurate, accessible, and affordable, particularly in urban environments and for agriculture in Latin America.

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.

Wetterheld offers weather insurance tailored for small and medium businesses, utilizing data analytics to assess weather-related risks and determine policy pricing. This service protects businesses from financial losses due to adverse weather conditions, ensuring operational stability and risk management.

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.

Beehive provides software that enables asset-light companies to measure their financial exposure to climate-related risks and generate TCFD reports using purpose-built generative AI. This solution addresses the need for regulatory compliance and investor transparency by automating risk assessment and report creation, significantly reducing costs and time associated with traditional consulting services.

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.

Geoskop provides climate predictions and projections, delivered as monthly forecasts up to a year in advance and impact evaluations up to 30 years. Their technology enables renewable energy, agriculture, and trading companies to integrate Climate Intelligence into their decision-making, enhancing climate risk management and resilience. Geoskop's AI-powered platform surpasses historical average prediction accuracy, supporting strategic and sustainable decisions.

Callendar provides ClimateVision, a platform that translates climate projections into actionable local design assumptions for infrastructure and industrial projects. It empowers businesses to assess and adapt to evolving climate risks, ensuring more resilient designs and informed investment decisions.

NetZero Protocol provides financial institutions and corporations with AI-driven insights into climate-related financial risks and opportunities. Our platform translates environmental data into actionable intelligence, enabling better risk management, decarbonization strategies, and alignment with net-zero targets.

Carbon Quotient provides climate risk analytics that integrate financial and accounting principles with climate action metrics. Their platform helps financial institutions assess and manage climate-related risks within their investment portfolios, informing capital allocation decisions. By combining open-source tools with AI, Carbon Quotient enables a more comprehensive understanding of climate impact.

Alvia Systems conducts site-level assessments using a proprietary robotic data collection system to evaluate climate risk for individual properties. Their detailed reports provide property owners with a specific risk score, enabling informed communication with insurers and potential buyers about the vulnerability of their assets to climate-related damage.

The startup provides software that models the impact of climate hazards on operations and supply chains, enabling organizations to quantify potential damages and comply with environmental regulations. By delivering actionable insights and early warning systems, it helps customers enhance resilience and effectively manage adaptation measures.