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Founded Year



Series B | Alive

Total Raised


Last Raised

$22M | 8 mos ago

About ClimateAi

ClimateAi provides climate forecasting and agronomics services leveraging machine learning. It offers insights based on its tools such as Climatelens-Monitor, Climatelens-Adapt, Climatelens-Enterprise, and Climatelens-Assess. It primarily caters to agriculture, food and beverage, finance, manufacturing, apparel, CPG and retail, and energy sector. The company was founded in 2017 and is based in San Francisco, California.

Headquarters Location

353 Sacramento Street

San Francisco, California, 94111,

United States


ESPs containing ClimateAi

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Financial Services / Capital Markets Tech

The ESG (Environmental, Social, and Governance) data, analytics, and ratings market refers to solutions that provide investors with insights into the sustainability and social responsibility practices of companies. These solutions offer investors tools to evaluate and compare the ESG risks and opportunities of different companies. ESG ratings providers offer assessments, scores, and rankings of co…

ClimateAi named as Challenger among 15 other companies, including FTSE Russell, SESAMm, and Clarity AI.

ClimateAi's Products & Differentiators

    Exposure Tool

    To find Long-Term risks, the exposure tool predicts risks of climate hazards, including water availability, snowpack reduction, seasonal precipitation, hurricane risk, and more.


Research containing ClimateAi

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned ClimateAi in 2 CB Insights research briefs, most recently on Jun 30, 2023.

Expert Collections containing ClimateAi

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

ClimateAi is included in 4 Expert Collections, including Capital Markets Tech.


Capital Markets Tech

956 items

Companies in this collection provide software and/or services to institutions participating in primary and secondary capital markets: institutional investors, hedge funds, asset managers, investment banks, and companies.


Artificial Intelligence

10,987 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.


Decarbonization Tech

616 items

Companies in the Decarbonization & ESG space, including those working on enterprise and cross-industry decarbonization and emissions monitoring solutions, as well as ESG monitoring and carbon accounting.


Green Fintech

351 items

A collection of fintech companies that have an explicitly defined environmental focus at the core of their business.

ClimateAi Patents

ClimateAi has filed 8 patents.

The 3 most popular patent topics include:

  • numerical climate and weather models
  • artificial neural networks
  • climate modeling
patents chart

Application Date

Grant Date


Related Topics




Numerical climate and weather models, Artificial neural networks, Machine learning, Climate modeling, Computational science


Application Date


Grant Date



Related Topics

Numerical climate and weather models, Artificial neural networks, Machine learning, Climate modeling, Computational science



Latest ClimateAi News

AI: A tool for climate resilience and farming

Nov 27, 2023

The platform ran simulations and revealed that the tomato output in the region would decrease by about 30% in the next two decades due to extreme heat and drought. It suggested the farmers to change their strategy. The farmers followed the suggestion and changed their business plans. They chose more climate-resilient seeds and altered the timing of their planting. This helped them quickly find new and better locations for growing tomatoes and save money. Himanshu Gupta, a co-founder of ClimateAi who grew up in India, said that AI was a powerful tool to speed up and improve the solutions for climate change. AI is helping farmers and tackling the climate crisis in many other ways. AI is a technology that can perform complex tasks that humans might not be able to do. The technology can process and connect huge amounts of data quickly. This makes AI very good at things like forecasting and running simulations. And unlike traditional computer programs, AI tools can keep learning over time as new data is available or the systems get further feedback about the quality of their outputs. While scientific discovery used to depend on humans’ ability to collect, observe, and analyze evidence, computers can now handle large datasets, find patterns, and run digital experiments in a fraction of the time that human researchers would need. According to Fengqi You, a chair professor at Cornell University’s engineering school, climate models involve solving complex equations that describe the interaction of atmosphere models, which can take a significant amount of time. Similarly, research on new energy-conduction materials, such as those used in solar panels, used to require extensive testing that relied heavily on trial and error. However, with the help of AI, this process can now be expedited. AI-powered technology can work continuously without the need for breaks, which can be beneficial in accelerating the discovery process. AI probably won’t replace the need for humans in the climate change fight. But it could make their work faster and more effective. Researchers who want to restore coastlines by replanting seagrass, for example, are using AI to model the best locations to target those replanting efforts, said Dan Keeler, chief communication officer at impact investing firm Newday, which is involved in charitable efforts to support the coastal restoration. An AI algorithm trained to address the issue could consider everything from toxins in the water or disruptive shipping routes to how replanting efforts could affect nearby sea life or even coastal tourism. “It’s very difficult to put all those together into a single model with conventional methods, but AI actually makes that much more possible,” Keeler said. AI is also ‘doing the dirty work’ in climate research AI is also ‘doing the dirty work’ in climate research. Scientists have found that the Arctic is warming four times faster than the rest of the planet. Rising temperatures are melting sea ice, thawing permafrost, and sparking wildfires in what should be one of the coldest regions on Earth. Climate experts have said what happens in the Arctic is a sign for the rest of the world. But climate models – which scientists use to predict long-term change – are not capturing how fast it’s warming. With the help of AI, Anna Liljedahl, a scientist at the Woodwell Climate Research Center, can make permafrost forecasts on a seasonal timescale instead of on the typical 100-year timescale, giving her and other researchers a better picture of how fast the Arctic is melting. According to Liljedahl as told to CNN, AI serves as an initial tool in the process, but it is not flawless. Therefore, humans need to verify the accuracy of the AI-generated suggestions and explore further to ensure the validity of the results. In addition to its various applications, AI technology can also provide solutions to pressing issues. For instance, a recent Google DeepMind project utilized an AI model trained on weather forecasts and historical wind turbine data to predict the availability of wind power. This method significantly increased the value of renewable energy sources for wind farmers. Additionally, AI can predict peak energy demand and identify the most efficient locations for renewable energy sources. This optimization ensures that the energy supply meets demand while minimizing waste. Keeler emphasized the importance of this approach, stating that it avoids unnecessary production and consumption of power, which is a significant problem. According to Gupta of ClimateAi, the challenge lies in integrating renewable capacity into the current fossil fuel-based grid. AI can play a crucial role in identifying available renewable sources in real-time, and optimizing supply and demand for renewable energy. AI is a technology that can help us fight climate change in many ways. But AI also has a downside. The technology depends on data centers that use a lot of energy and emit greenhouse gases. Experts say that software engineers and climate scientists need to work together to find a balance. Kara Lamb, an associate research scientist at Columbia University’s Earth and Environmental Engineering Department, said there was a trade-off between using AI and its ecological impact. But she said the benefits of using AI for climate change outweighed the costs.

ClimateAi Frequently Asked Questions (FAQ)

  • When was ClimateAi founded?

    ClimateAi was founded in 2017.

  • Where is ClimateAi's headquarters?

    ClimateAi's headquarters is located at 353 Sacramento Street, San Francisco.

  • What is ClimateAi's latest funding round?

    ClimateAi's latest funding round is Series B.

  • How much did ClimateAi raise?

    ClimateAi raised a total of $38.24M.

  • Who are the investors of ClimateAi?

    Investors of ClimateAi include Neotribe Ventures, Radical Ventures, Yaletown Partners, Academy Investor Network, Four Rivers Group and 14 more.

  • Who are ClimateAi's competitors?

    Competitors of ClimateAi include Cervest.

  • What products does ClimateAi offer?

    ClimateAi's products include Exposure Tool and 2 more.

  • Who are ClimateAi's customers?

    Customers of ClimateAi include Advanta Seeds.


Compare ClimateAi to Competitors

Jupiter Intelligence

Jupiter Intelligence focuses on climate risk analytics. The company provides data derived from climate science, helping organizations manage, mitigate, and disclose their climate risk. It primarily serves sectors such as banking, insurance, real estate, and energy, among others. It was founded in 2017 and is based in San Mateo, California.

Sust Global Logo
Sust Global

Sust Global provides geospatial monitoring at an asset level for analyzing climate risk. Its platform uses data from multiple satellites and ground sources to create full-stack ‘Asset-Level Geospatial Analytics’. The platform combines this data with the latest climate models and standardized risk assessments to analyze risk and gain quantitative insights for the financial services sector. The company was founded in 2019 and is based in London, U.K.

Climate X Logo
Climate X

Climate X operates as a climate risk data analytics provider. The company helps firms to analyze the impact of extreme weather events linked to climate change through the climate risk intelligence platform. It delivers location-specific risk ratings for transition risk and climate-adjusted loss under multiple climate emission pathways. The company was founded in 2021 and is based in London, United Kingdom.

Climate Logo

Climate provides digital agricultural solutions to help farmers. It offers a platform that combines hyper-local weather monitoring, agronomic data modeling, and high-resolution weather simulations. It provides a comprehensive platform through which farmers can monitor their fields in real-time, track crop health, and schedule harvesting. The company was founded in 2006 and is based in San Francisco, California. In November 2013, Climate was acquired by Monsanto.

Cervest Logo

Cervest specializes in climate intelligence solutions. It offers a platform that transforms climate science into personalized and actionable insights, helping enterprises, governments, and financial institutions analyze climate risks and opportunities on a wide range of assets. The company primarily serves sectors such as the government, financial institutions, and enterprises. It was founded in 2016 and is based in London, United Kingdom. In June 2023, Cervest filed for bankruptcy.


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