Climate AI Companies

Commonwealth Fusion Systems

Cambridge, United States

Commonwealth Fusion Systems is developing compact fusion power plants using high-temperature superconducting magnets. Spun out of MIT, they're building SPARC, the world's first net-energy fusion machine.

Form Energy

Somerville, United States

Form Energy develops iron-air batteries for multi-day energy storage. Their technology enables utilities to store renewable energy for 100+ hours at a fraction of lithium-ion costs.

Climeworks

Zurich, Switzerland

Climeworks builds machines that capture CO2 directly from the air. Their Orca and Mammoth plants in Iceland permanently store carbon underground, serving companies like Microsoft and Stripe.

Inari

Cambridge, United States

Inari develops the SEEDesign™ platform, a proprietary technology combining gene editing with advanced data science and predictive modeling to accelerate crop breeding. Their core innovation lies in leveraging AI to predict optimal gene edits for traits like yield, disease resistance, and resource efficiency, significantly reducing the time and cost associated with traditional breeding methods. Currently focused on crops like corn and soybeans, Inari aims to deliver climate-resilient seeds to growers, enhancing both productivity and sustainability within the agricultural sector.

Fervo Energy

Houston, United States

Fervo Energy uses horizontal drilling and fiber optic sensing to unlock enhanced geothermal power. They're providing 24/7 clean energy to Google and other tech companies powering AI data centers.

Twelve

Berkeley, United States

Twelve transforms CO2 into valuable chemicals and fuels using electrochemistry. Their technology converts captured carbon into sustainable aviation fuel and industrial materials.

CuspAI

Cambridge, United Kingdom

CuspAI builds AI foundation models for materials and chemistry, combining generative AI with physics-based simulation to design and validate novel materials such as carbon-capture sorbents. Co-founded by AI researcher Max Welling, it raised a $100M Series A in 2025.

Mitra Chem

Mountain View, United States

Mitra Chem is an AI-enabled battery-materials company developing iron-based lithium-ion cathode materials, using machine learning and lab automation to shorten the lab-to-production timeline. Its Series B was led by General Motors.

Climavision

Louisville, United States

Climavision combines a proprietary radar network with AI and satellite data to improve high-resolution weather forecasting and fill gaps in atmospheric observation.

Kettle

San Francisco, United States

Kettle develops an AI-powered underwriting platform specializing in property insurance and reinsurance for climate-related catastrophes, particularly wildfire. Their core technology utilizes three AI models – ignition, spread, and building vulnerability – which analyze over 130 terabytes of data including satellite imagery, weather patterns, and property characteristics to generate granular risk assessments and simulate millions of wildfire scenarios. Notably, Kettle demonstrated high predictive accuracy in 2020, correctly classifying 97% of burned properties within the highest risk quartile in California, and currently serves property owners and HOAs facing coverage challenges in wildfire-prone regions.

Watershed

San Francisco, United States

Watershed is an enterprise climate platform that helps companies measure, reduce, and report their carbon emissions. Used by Airbnb, Spotify, and thousands of companies for sustainability tracking.

Cape Analytics

San Francisco, United States

Cape Analytics provides property intelligence to the insurance, real estate, and lending sectors using AI-powered analysis of aerial imagery and geospatial data. Their core product, CAPE® Property Intelligence, leverages computer vision and machine learning to deliver detailed, predictive risk assessments for both individual properties and large portfolios. This enables clients to improve underwriting accuracy, refine valuations, and proactively manage exposure to property and climate-related risks.

Sylvera

London, United Kingdom

Sylvera is a UK-based climate tech company providing a data and analytics platform for the voluntary and compliance carbon credit markets. Utilizing machine learning and multi-scale lidar technology, Sylvera rates the quality of carbon credits and delivers pricing intelligence, supply/demand forecasts, and retirement data. Their platform serves enterprises, investors, and governments seeking transparency and risk mitigation in carbon offsetting and investment decisions.

Pachama

San Francisco, United States

Pachama utilizes AI-powered analysis of satellite imagery and remote sensing data to independently verify the carbon sequestration rates of forestry-based carbon offset projects. Their technology provides transparent and reliable monitoring of forest carbon stocks, addressing concerns around additionality and permanence in the voluntary carbon market. This service targets corporations and organizations seeking to invest in high-quality, verifiable carbon removal with reduced risk of greenwashing.

GridCARE

Redwood City, United States

GridCARE, spun out of Stanford's Doerr School of Sustainability, uses physics-based AI to identify and activate underutilized capacity on the existing power grid, accelerating power delivery for AI data centers. It raised a $64M Series A led by Sutter Hill Ventures in 2026.

BrainBox AI

Montreal, Canada

BrainBox AI uses autonomous AI to optimize commercial-building HVAC, cutting energy costs by up to 25% and carbon emissions significantly across more than 14,000 buildings. Founded in 2017 in Montreal; acquired by Trane Technologies in early 2025 and now operates as its AI division.

Cervest

London, United Kingdom

Cervest provides climate risk analytics software, EarthScan, that assesses physical climate hazards – including flooding, drought, and extreme temperatures – at the asset level. Utilizing a globally-consistent methodology and historical/future climate modeling, EarthScan quantifies climate-related financial risk and generates reports for regulatory compliance, such as TCFD and CSRD. The platform serves organizations in real estate, asset management, retail, and manufacturing seeking to understand and mitigate climate risk across their portfolios.

Climate AI

San Francisco, United States

ClimateAI delivers enterprise-level climate risk forecasting specifically for the food and agriculture sector. Their core product, the ClimateLens platform, utilizes patented machine learning models and 1km spatial resolution to generate hyperlocal, actionable insights from diverse climate and weather data. This enables businesses across the agricultural supply chain to proactively mitigate risk, optimize operations, and inform strategic investment decisions without requiring in-house data science expertise.

Orbital Materials

London, United Kingdom

Orbital Materials is an AI-first materials-engineering startup founded by ex-DeepMind researcher Jonathan Godwin. It uses generative AI and simulation to design advanced materials for clean energy, carbon capture, and data-center cooling, and open-sourced its Orb simulation model.

Emitwise

London, United Kingdom

Emitwise delivers a carbon management platform specifically focused on enabling enterprises to measure and reduce their Scope 3 emissions – those stemming from their supply chains. Their technology utilizes primary emissions data collection and AI-powered insights to provide actionable recommendations for procurement teams, moving beyond estimations to drive verifiable decarbonization across complex global supply chains. Emitwise supports supplier engagement by providing tools for emissions reporting and accountability, and is positioned as a solution for organizations aiming to meet ambitious Scope 3 reduction targets and increase supply chain transparency.

Rhizome

Washington, United States

Rhizome offers an AI-powered platform that helps electric utilities identify climate-driven vulnerabilities, quantify grid risk at high resolution, and prioritize resilience investments. Its gridFIRM platform models long-term wildfire and extreme-weather risk; partners include National Grid.

Brightband

San Francisco, United States

Brightband develops AI-based weather and climate forecasting models trained on raw observational data, aiming to deliver faster, more accurate probabilistic forecasts than traditional numerical methods. The company, formerly OpenEarthAI, plans to open-source benchmark datasets, models and metrics for the field.

Amini

Nairobi, Kenya

Amini is a Nairobi-based climate-tech startup that uses AI and satellite imagery to close Africa's environmental-data gap. Its platform aggregates satellite, weather and sensor data down to the square meter and exposes it via APIs for agriculture, climate monitoring and resource management. It raised a $4M seed round led by Salesforce Ventures and Female Founders Fund.

Vind AI

Oslo, Norway

Vind AI builds AI-powered software for the early design phases of wind-power projects, modeling layout and performance scenarios so developers can optimize energy output and cost before construction. Founded by former Spacemaker employees, its customers include TotalEnergies, RWE and Corio.

SNERPA Power

Reykjavik, Iceland

SNERPA Power is an Icelandic energy-tech startup whose AI-driven energy-management system helps power-intensive industrial users optimize and automate electricity scheduling, ordering and balancing-market bids. The platform uses live data streams to lower CO2 emissions and balance energy grids. It raised EUR 2.2 million led by Crowberry Capital and BackingMinds, and was founded by Iris Baldursdottir and Eyrun Linnet.

Kavaken

Istanbul, Turkey

Kavaken provides AI-powered asset-management and operations software for renewable-energy investors, using machine learning to monitor wind-turbine performance, forecast energy production and improve margins. It serves asset owners, lenders, insurers and service providers from offices in Istanbul and Newcastle.

Buluttan

Istanbul, Turkey

Buluttan provides AI-based hyper-local weather intelligence, combining numerical weather prediction with deep learning to produce high-resolution forecasts and real-time meteorological data. Its forecasting engine targets sectors such as energy, agriculture and aviation across Europe and the Middle East.

Tibo Energy provides an AI-driven energy management platform that helps companies manage decentralized energy systems and mitigate grid congestion through forecasting, simulation and automated optimization. Founded in 2022 and based on the TU/e campus in Eindhoven, it raised a EUR 6M seed round to expand across Europe.

ACCURE Battery Intelligence

Aachen, Germany

ACCURE Battery Intelligence offers a cloud-based predictive analytics platform that uses AI to monitor and optimize the safety, performance and lifespan of lithium-ion batteries and energy-storage systems without requiring additional hardware. Founded in 2020 in Aachen, Germany, it analyzes operational battery data such as voltage, current and temperature for automotive and energy-storage fleets.

PhaseTree is a Copenhagen-based materials-discovery company, spun out of the Technical University of Denmark, that combines multiscale physics simulation, lab automation and AI to accelerate the development of sustainable materials for batteries, solar cells and wind turbines. Founded in 2021, it raised a EUR 3M seed round in 2025 led by Heartcore Capital.

Entalpic

Paris, France

Entalpic is a Paris-based AI company applying generative models, graph neural networks and large language models to discover catalysts and materials that decarbonize industrial chemistry processes such as energy storage, fertilizer production and pollution control. Founded in 2024 by former Owkin and Mila researchers, it raised a EUR 8.5M seed round.

SciDrones

Mytilene, Greece

SciDrones is a Greek company and University of the Aegean spin-off that maps and quantifies coastal and environmental phenomena using drones, sensors and AI algorithms with spatio-temporal visualizations. Its Coastal Marine Litter Observatory combines unmanned aerial systems and machine learning to detect, map and monitor marine litter. It won the EU CASSINI Maritime Prize for using space data to tackle ocean plastic.

TOLBI

Dakar, Senegal

TOLBI is a Senegalese climate-focused agritech company that uses artificial intelligence and satellite remote sensing to help farmers plan and manage crops. Its modules include TOLBI Scan for crop-surface calculation and crop detection, and TOLBI Call for real-time agronomic and climate guidance in local languages. The platform delivers per-field recommendations on water, fertilizer and optimal planting and harvest timing.

NeedEnergy

Bulawayo, Zimbabwe

NeedEnergy is a Zimbabwean energy-AI company that uses machine learning and smart-meter data to operate a virtual power plant, aggregating rooftop solar, generators and storage into a single optimized resource. Its Memeza platform forecasts demand and prices to manage distributed energy across microgrids in emerging markets. The company was a Techstars 2023 cohort member and has raised about USD 1.6 million.

AgriPredict

Lusaka, Zambia

AgriPredict is a Zambian agritech company that uses artificial intelligence and machine learning to help farmers diagnose crop and livestock disease, predict pest outbreaks and anticipate weather risks. Farmers photograph an affected crop and receive an instant AI diagnosis through the app. It was founded in 2016 in Lusaka.

Spectro Solutions is a Montenegrin deep-tech startup that builds an AI and video-analytics SaaS platform for early wildfire and smoke detection. Its software turns standard video-streaming cameras into monitoring tools that identify fire at its earliest stages and alert authorities. The company is a Hello Tomorrow Deep Tech Pioneer and is backed by the Innovation Fund of Montenegro and the Capital City of Podgorica.