LambdAI Space uses AI and physics-based algorithms applied to Earth observations for environmental monitoring and risk assessment. The platform delivers data-driven insights for climate impact tracking, natural resource management, and infrastructure oversight. This technology supports precise risk modeling across the Insurance, Agriculture, and Financial Services sectors.
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Top 50 Ai For Climate Modeling in Asia
Discover the top 50 Ai For Climate Modeling startups in Asia. Browse funding data, key metrics, and company insights. Average funding: $5.5M.
Resilience360 provides an AI‑driven platform that digitizes the climate‑risk lifecycle for enterprises and public sector organizations. It ingests hyper‑local weather and asset data, applies machine‑learning models to generate real‑time risk scores and mitigation guidance for individual structures, facilities, and portfolios, enabling lenders, operators, and city planners to identify hidden vulnerabilities, reduce uninsured losses, and meet resilience KPIs.
The startup develops a green artificial intelligence technology that employs flux sensors and spatial data to accurately measure greenhouse gas emissions and sequestration. This technology enables companies to establish a transparent and verifiable standard for environmental projects, facilitating compliance and enhancing market participation.
Zevero is a Climate Action Platform that enables companies to accurately measure their Scope 1, 2, and 3 greenhouse gas emissions using data integrations and AI-driven emission factor matching. The platform streamlines sustainability reporting and helps organizations set and track climate targets, ultimately reducing their carbon footprint and ensuring compliance with global reporting frameworks.
Earthene provides an AI‑driven, cloud‑based platform that automates CO₂ emissions measurement, reporting, and reduction across Scope 1‑3, delivering disclosure‑ready documents for standards such as CDP, TCFD, and CSRD. The solution combines data ingestion, scenario modeling, integrated consulting, and a built‑in verification network to streamline ESG strategy, target setting, and carbon‑offset procurement for mid‑size to large enterprises.
Buluttan develops AI-based hyper-local weather intelligence solutions for specialized industries. The platform provides precise renewable energy forecasting, grid operational insights, and tailored forecasts for aviation and logistics sectors. This intelligence helps clients enhance operations, safeguard assets, and improve safety through accurate, location-specific weather data.
Gigablue utilizes nature-driven carbon capture and removal techniques, enhanced by an AI prediction engine, to optimize the efficiency of carbon sequestration in ocean environments. The company addresses the urgent need for effective and affordable solutions to help corporations and governments achieve their negative emission targets.
Provides a physics-based modeling platform that generates portfolio-wide decarbonization plans using only an address list, eliminating the need for time-consuming energy audits. By analyzing over 800,000 energy model simulations, it quantifies carbon reduction potential, project costs, and savings, enabling real estate teams to prioritize and execute net-zero strategies with budget-ready, property-level plans.
Fairatmos operates a carbon technology platform that utilizes AI and high-precision remote sensing to streamline the development, monitoring, and funding of carbon offset projects. This platform addresses the challenge of verifying and managing carbon credits, enabling businesses to effectively reduce their carbon emissions and achieve sustainability goals.
Provides satellite-based remote sensing and machine learning solutions to deliver location-specific insights for agriculture, finance, infrastructure, and climate sectors. Enables precise crop monitoring, risk assessment, and resource management by integrating high-resolution satellite imagery with AI-driven analytics, supporting over 2 million farm loans and 500,000 insurance claims annually.
StepChange provides a unified, cloud‑based platform that consolidates carbon accounting, ESG intelligence, and climate‑risk analytics into a single workflow. It ingests data from multiple sources, applies science‑based methodologies (GHG Protocol, PCAF, TCFD, ISSB) and automates validation, reporting and target monitoring for both operational and financed emissions. The solution delivers heat‑maps, scenario analysis, and audit‑ready disclosures, helping large enterprises and financial institutions meet regulatory, investor and sustainability requirements.
Climes provides a digital climate finance engine that connects businesses to transparent climate action solutions. The platform enables companies to measure emissions, meet compliance standards, and neutralize their environmental impact through verified carbon removal projects. This infrastructure simplifies end-to-end sustainability compliance by integrating measurement, reporting, and neutralization into one system.
Nutrifresh utilizes hydroponic farming techniques and AI-powered climate control to produce pesticide-free fruits and vegetables in a controlled environment, ensuring optimal growth conditions year-round. This approach addresses the issues of food safety and seasonal availability, providing consumers with fresh, nutritious produce regardless of external environmental factors.
Spatialgrid provides an AI-driven platform for geospatial data integration, analysis, and visualization, enabling businesses to derive location-based insights from large spatial datasets. The service offers real-time mapping, predictive modeling, and customizable dashboards to support decision‑making in sectors such as logistics, urban planning, and environmental monitoring.
Asteromorph develops advanced AI systems with emergent intelligence through novel neural network architectures and unsupervised learning. The company's research aims to create AI capable of autonomously solving complex global challenges, accelerating scientific discovery.
This company develops sustainable and affordable AI solutions, making the technology more accessible for broader adoption. They enable clients to build and deploy AI applications while promoting a sustainable AI ecosystem.
Othersphere utilizes a global index of human, economic, and environmental systems to identify optimal locations for deploying zero or low greenhouse gas industrial technologies. This approach provides data-driven insights that enhance project performance, reduce risks, and accelerate timelines for sustainable infrastructure development.
AgroNest provides a cognitive operating system that creates a digital twin for each plant by combining high‑density IoT soil sensors, daily satellite LiDAR imagery, and continuous telemetry. Its AI engine forecasts crop health, predicts yields, and recommends optimal irrigation, fertilization, and energy use, while tokenizing yield and carbon data for insurance and financing, all secured with zero‑knowledge encryption.
The startup operates a cloud-based computing platform that provides AI-driven solutions for researchers and enterprises, focusing on large language model development, programmatic data labeling, and machine learning testing. It offers high-performance computing resources, including access to powerful GPUs and virtual machines, while promoting e-waste reduction through environmentally friendly practices.
Tensor Energy provides a cloud operations platform that utilizes AI to optimize charging and discharging schedules for renewable energy assets, enhancing operational efficiency and profitability. The platform integrates data from various sources, enabling streamlined management of renewable energy generation and storage while minimizing risks and costs.
cKers Finance provides tailored debt financing solutions for climate startups in sectors such as distributed solar, e-mobility, and energy efficiency, utilizing customized asset-backed financing frameworks. The company addresses the challenge of accessing appropriately priced capital for businesses navigating India's sustainable energy and mobility transitions.
LivNSense Technologies offers an AI-based platform, GreenOps™, that utilizes machine learning and digital twin technology to monitor and optimize greenhouse gas emissions in energy-intensive industries. The platform enables real-time data analysis and predictive insights, achieving up to 25% reductions in GHG intensity and significant energy cost savings for its clients.
This startup develops a data-driven farming platform that utilizes machine learning models to analyze sensor and imaging data related to water, climate, and soil moisture. By automating farming practices and workforce management, the platform enhances crop planning and operational efficiency for farmers.
Jejakin provides an integrated technology platform for comprehensive climate action management, encompassing emission accounting, reporting, and verifiable reforestation programs. The platform leverages IoT, satellite imaging, and AI for precise MRV (Monitoring, Reporting, and Verification) of environmental impact. This allows enterprises to accelerate sustainability goals through data-driven insights and transparent carbon removal solutions.
Arahas provides geospatial and AI analytics solutions to enhance sustainability across various sectors, including climate, energy, and land management. Their technology enables precise environmental data monitoring and actionable insights, addressing the challenges of climate change and resource management.
RIFFAI transforms raw satellite data into reliable, decision-ready intelligence for the Energy, Defense, and Environment sectors. The company utilizes validated AI models to process multiple satellite sources, providing high-accuracy geospatial insights. This intelligence supports improved energy efficiency, community safety, and sustainable resource management on a planetary scale.
WeatherCast Solutions develops a patented technology that combines IoT sensor data, meteorological models, and machine learning to deliver hyperlocal weather and microclimate forecasts. This technology provides precise predictions for rainfall, temperature, and wind power, enabling sectors like agriculture and energy to minimize operational losses and enhance decision-making in the face of climate variability.
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.
Carbon Sync provides a platform that utilizes AI-driven tools and satellite imagery to enhance the transparency and accuracy of carbon credit projects. By ensuring rigorous validation and real-time monitoring, the company addresses the need for trustworthy carbon offset solutions that deliver measurable environmental benefits.
Omtse Ventures, Inc. develops regenerative agricultural systems that turn degraded Filipino farmland into climate‑positive assets. By aligning farmers, investors, and government, they integrate tree‑based farming, carbon finance, and climate technology to generate sustainable income for growers while sequestering carbon. Their platform also connects global capital with local expertise, positioning the Philippines as a hub for climate‑focused agricultural infrastructure.
Albo Climate employs AI and satellite technology to monitor and verify carbon removal from nature-based solutions, providing precise data on carbon offset initiatives. This capability enables businesses to accurately track their sustainability efforts and meet regulatory requirements effectively.
Nika.eco utilizes proprietary AI models and geospatial data analysis to provide precise carbon issuance predictions for nature-based carbon projects. This technology enables investors to assess risks related to additionality, permanence, and leakage, enhancing the accuracy of carbon accounting and investment viability.
The startup provides impact investment services that utilize artificial intelligence and big data to enhance debt financing solutions in emerging markets. By addressing financing gaps, the company enables institutions to invest in climate action and financial inclusion, promoting a balance between economic growth and environmental sustainability.
Newtral.io provides an AI-powered platform for organizations to measure, report, and manage their carbon emissions and ESG metrics across their value chain. The solution enables companies to streamline sustainability workflows, ensuring compliance with global standards while improving their ESG scores through data-driven insights and personalized recommendations.
MSRO provides Earth Observation (EO) data and AI-powered analytics for climate resilience and maritime domain awareness. The organization develops risk assessment models for environmental changes and enhances maritime surveillance to deter illegal activities, supporting both government and commercial sectors.
Urbanico is developing an urban intelligence platform that utilizes advanced data analytics and machine learning to provide hyper-localized risk assessments of urban environments. This platform enables city planners and businesses to identify and mitigate risks related to urban development, infrastructure, and public safety.
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.
Sustainable Lab operates a non-financial big data platform that utilizes AI and data science to quantify and visualize corporate contributions to ESG and SDGs. This technology enhances the efficiency of collecting, organizing, and analyzing non-financial data, enabling institutional investors and enterprises to make informed decisions for green transformation.
The startup develops a real-time coastal intelligence system that utilizes high-resolution data from cloud-connected marine sensors to quantify marine hazards. This technology enables clients to enhance maritime operations and improve safety by providing precise information on wind and wave conditions.
The startup develops an AI-driven energy management platform that focuses on climate change mitigation through precise carbon dioxide emission calculations and strategic planning for decarbonization. By integrating multiple systems, the platform enables businesses to effectively track and reduce their carbon footprint, supporting their transition to sustainable practices.
BiotaX utilizes AI-driven computational biology to construct natural microbial communities tailored for specific functions in health, food, agriculture, and climate applications. The platform addresses the challenge of harnessing the vast diversity of uncultured bacteria to develop effective microbial solutions for various industries.
GreenSwanLab develops advanced computational models for climate risk assessment and adaptation planning. The platform integrates complex environmental data to provide actionable insights for infrastructure resilience and sustainable resource management. They deliver scenario analysis tools that help organizations quantify and mitigate long-term climate-related financial exposure.
SatLeo Labs develops a constellation of Low Earth Orbit MicroSats equipped with high-resolution thermal infrared sensors to capture near-real-time thermal imagery of the Earth's surface. This technology provides critical data for monitoring land surface temperature, which is essential for addressing challenges in agriculture, urban planning, defense, and climate change.
The startup develops machine learning-based environmental data monitoring software that utilizes smartphone sensors to collect localized measurements of temperature, humidity, air quality, and other microclimate factors. This technology enables municipalities to monitor environmental conditions, optimize energy usage, and enhance public health planning through precise hyper-local weather reporting.
Hydroinformatics Institute provides a water-as-a-service platform that utilizes advanced computational models and artificial intelligence to optimize water resource management. The company enables organizations to make data-driven decisions, improving water allocation and reducing waste in an era of increasing water scarcity.
This agricultural climate technology company provides smart aquaculture solutions that enhance production efficiency and lower labor costs through the integration of artificial intelligence, water quality sensors, and robotic systems. By incorporating solar energy and insurance mechanisms, the company stabilizes aquaculture operations, addressing the challenges of resource management and operational unpredictability.
Arconesia offers a cultivation management platform for Indonesian smallholder farmers to adopt Climate-Smart Agriculture. It provides climate risk analysis, renewable energy integration, and commodity diversification to boost productivity and resilience.
Keystone provides continuous forecasting and measurement of nature-related risks, including water stress and extreme weather events, to safeguard physical assets. The platform utilizes AI and remote sensing to calculate specific company impacts across the supply chain for actionable insights. This allows businesses to prioritize high-risk locations and prepare investor-ready disclosures regarding ecosystem exposure.
Provides a Climate-as-a-Service platform that uses IoT and AI-driven deep learning algorithms to optimize indoor climate control in commercial buildings. The system reduces energy consumption, lowers peak demand, and enables personalized climate settings across multiple rooms, improving comfort and operational efficiency while being compatible with any HVAC system.
Prithu partners with regenerative farmers to implement practices that enhance soil carbon levels and generate high-integrity carbon removal credits through digital MRV systems, blockchain, and AI-powered analytics. This approach increases farmer incomes while addressing climate change by transforming farmlands into effective carbon sinks.