Climate AI Companies

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.

Climavision

Louisville, United States

Climavision uses AI and proprietary radar networks to provide hyper-local weather forecasting and climate risk analytics.

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.

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.

BrainBox AI

Montreal, Canada

BrainBox AI uses autonomous AI to reduce carbon emissions in commercial buildings while cutting energy costs by up to 25%.

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.

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.