ClimateAI

Hyper-Local AI-Powered Climate Insights

March 30, 2025

Good Morning, It’s Sunday 30th and this week’s company is using AI to enhance agricultural resilience and navigate climate-driven supply chain challenges. They do this by providing practical insights to manage risks from extreme weather events.

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BIG PICTURE

Traditional climate risk analytics rely heavily on fragmented data sources and limited predictive capabilities.

Today's climate tech landscape is:

  • Time-Consuming: Conventional climate risk assessment methods require extensive manual data collection and analysis.

  • Expensive: Traditional approaches incur significant costs for data acquisition and interpretation, which ClimateAI's AI-powered platform can reduce substantially.

  • Complexity-Driven: Existing solutions struggle with integrating diverse data sources and providing actionable insights.

The global climate tech market is experiencing remarkable growth.

Climate tech solutions reached $20.34 billion in 2023 and are projected to expand to $182.54 billion by 2033, growing at a 24.5% annual rate. (Source)

Supply chains alone face $1.26 trillion in environmental risks over the next five years, underscoring the massive market potential. (Source)

Competition

Players like Earth Scan, Jupiter Intelligence, Sust Global, and Climate X compete in the climate risk analytics space. ClimateAI's AI and unique products set them apart from standard methods.

This unique approach is valuable as industries seek tech-based climate solutions. Their global growth and wide-ranging use put them in a strong industry position.

THE BUSINESS

ClimateAI is an advanced climate intelligence platform that uses artificial intelligence to help businesses mitigate and adapt to climate-related risks across various industries.

  • AI-Powered Climate Analytics: ClimateLens uses machine learning and lots of combined data to give accurate climate risk predictions. It gives weekly updates on how much crops will grow, shows where supply chains might have problems, and tracks extreme weather as it happens. (with insights tailored to specific industries and regions).

  • Strategic Climate Resilience: Instead of just reporting on climate like usual, ClimateAI turns tough climate data into useful business information. This helps companies plan ahead for climate risks, find new chances to grow, and create plans to adapt, without needing a lot of hand-done work.

Business Breakdown

  • Industry: Climate Resilience Technology

  • Headquarters: San Francisco, California, USA.

  • Year funded: 2017

  • Funding: Total raised: $37.5M | Latest round: $22M Series B in April 2023 (PitchBook)

  • Investors: Neotribe Ventures, Radical Ventures, Four Rivers Group, Academy Investor Network, Yaletown Partners, and others

  • Business model: Offers AI tools for climate risk analysis and business adaptation. Helps optimize supply chains, agriculture, and asset management by predicting and responding to climate impacts.

  • Traction: Named TIME’s Best Inventions of 2022 and America’s Top 250 GreenTech Companies 2024 | They've expanded to serve customers in over 50 countries, and have climate proofed over 1000 locations | Secured patents for their novel use of generative AI in weather forecasting, enabling hyper-local, long-range predictions.

  • Website: Climate.ai

  • Socials: LinkedIn | Youtube

Founder Profile

  • Himanshu Gupta (CEO/Co-Founder). A Stanford-trained climate policy expert and AI innovator, Himanshu leads ClimateAi in its mission to build climate resilience. Recognized as a Forbes 30 Under 30 honoree, his visionary leadership combines technical expertise with strategic climate action, drawing from his diverse experiences.

  • Max Evans (Co-Founder). Growing up on an Ecuadorian pineapple farm fueled Max's passion for climate resilience. A Stanford graduate with roots in agricultural entrepreneurship, he combines technical innovation with a grassroots understanding of environmental challenges. Passionate about bridging technology and real-world impact.

    In 2023 he retired from the company in pursuit of other early stage projects. At the moment he is the founder and COO of Parvada

Opportunities

No Job opportunities at this time

WHY IT MATTERS

How it works?

ClimateAI operates through a sophisticated technological ecosystem that transforms complex climate data into actionable business insights.

At its core, the company leverages an intricate process of data collection that spans multiple sources, including satellite imagery, global weather stations, historical climate records, and cutting-edge environmental monitoring systems.

The magic happens when powerful AI and machine learning programs process this huge amount of data.

These programs don't just collect information; they look for patterns and predict climate risks very accurately. The AI can find small details and trends that people might miss, allowing them to make detailed forecasts about future weather and environmental conditions.

Their Main Products/Offerings include:

ClimateLens is the result of ClimateAI's tech. It gives businesses tools to manage climate risks.

Companies get long-range weather forecasts, weekly crop predictions, and live extreme weather updates.

More than just showing data, it suggests ways to handle risks.

For agricultural businesses, this could mean finding new places to plant or better water use. For supply chain managers, it means knowing about problems early and making backup plans.

Problem-Product Fit.

ClimateAI is different because it focuses on solving real business problems. Climate change is a big threat, and old ways of handling risk don't work well anymore.

The platform doesn't just warn about risks; it shows how to adapt and stay strong. This turns climate uncertainty into something businesses can handle, giving them an advantage when the environment is changing a lot.

They give clear, useful information, so companies can plan ahead instead of just reacting.  

Unique Value Proposition

They stand out with advanced tech and practical use.

The company's AI-driven approach allows for hyper-localized and industry-specific predictions that go far beyond generic climate models. By tailoring insights to specific business contexts, they provide value that generic climate reports simply cannot match.

Great things

  • The company's AI makes really detailed climate predictions. It can forecast how specific weather conditions will affect certain crops or areas with amazing accuracy. This is much more precise than standard climate models, giving businesses very focused information.

  • Unlike regular climate analysis, ClimateAI gathers data from many different sources. This includes satellite pictures, weather stations on the ground, past climate records, and advanced prediction tools.

  • The platform doesn't just give one-time reports. Its machine learning programs constantly learn and update predictions in real-time. This means businesses get the latest climate risk information, allowing them to change their plans as needed.

Not so great things

  • They operate at the cutting edge of AI and climate science, requiring exceptionally skilled professionals. It's hard to find and keep these experts because they're also wanted by big tech companies, research groups, and other new startups.

  • The tech they use, like AI and climate tech, changes very quickly. Today's best technology might be old news in a few months. ClimateAI needs to keep innovating and investing in research to stay ahead of new technologies and remain competitive.

  • As the company grows around the world, it's harder to keep its platform high-quality and accurate. They need to adapt their AI to work in different places, make sure their data is correct in every region, and manage the computer systems needed for global operations.

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