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ClimateAI

Full company profile

uuid000085w

Namestring
ClimateAI
Legal namestring
ClimateAi, Inc.
Company typeenum
Private
Founded yearint
2017
Descriptiontext

ClimateAI (ClimateAi, Inc.) is an enterprise SaaS company that applies AI and machine learning to climate and weather data to help organizations anticipate physical climate risks and translate them into business decisions. Founded in 2017 in San Francisco by Himanshu Gupta and Max Evans (Stanford MBAs), the company has built the ClimateLens platform, which combines physics-informed dynamical downscaling, spectral adjustment, multi-model ensembling, and patented deep generative adversarial networks to produce subseasonal-to-seasonal forecasts (1–6 months) and long-term climate scenarios (10+ years) at 1km spatial resolution globally. Core products include ClimateLens Monitor (operational short-term forecasting), ClimateLens Adapt (long-term risk analytics with TCFD/CSRD compliance), ClimateLens Monitor Yield Outlook (AI-driven seasonal crop yield forecasts for 70+ crops), and the LensConnect API for embedding climate intelligence into enterprise systems.

The platform is delivered through a quote-based enterprise subscription model, sold via direct field sales with discovery/demo conversion, supplemented by an API-first self-serve channel with a 7-day free trial. ClimateAI targets enterprise buyers in agribusiness (Advanta Seeds, Driscoll's, Dole, BASF, Simplot, HM Clause), food and beverage (Suntory, Oatly, McCain, The Wonderful Company), finance (Nuveen Natural Capital, World Bank, Rabobank), and federal/defense (Department of Defense BROFEW project across 500+ installations). The company has raised $38M across seed, Series A, and Series B rounds and reports usage across 80+ countries by 50+ enterprise customers.

Short descriptiontext

ClimateAI is an enterprise SaaS platform that applies proprietary AI and downscaling models to deliver 1km-resolution climate forecasts, helping agribusiness, food and beverage, finance, and defense customers manage physical climate risk in supply chains and portfolios.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices3 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
climate risk analytics, weather forecasting software, agricultural yield prediction, supply chain climate risk, enterprise climate platform
Industry5 codes
1Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization)
CodeEUABALABPrimaryYes
2Climate Risk Reporting & Disclosure Analytics (TCFD/ISSB, EU Taxonomy, CSRD, NAIC)
CodeEUABALAGPrimaryNo
3Adaptation & Resilience Planning Platforms (CAPEX Prioritization, Cost–Benefit, NBS)
CodeEUABALAHPrimaryNo
4Climate Target-Setting, Transition Planning & Performance Management Platforms
CodeEUABAEAFPrimaryNo
5Transition Risk Modeling & Policy/Market Pathways (Carbon Price, Regulation, Technology Adoption)
CodeEUABALADPrimaryNo
NAICS code3 codes
  • Software Publishers513210
  • Environmental Consulting Services54162
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Commercial Physical & Biological Research8731
Product category
Climate Risk Analytics Software
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1SaaS Platform Subscription
TypeSubscription Recurring
Description

ClimateAi operates primarily as a SaaS platform, with the ClimateLens platform provided via subscription to enterprise customers. Access is granted through web-based dashboards (ClimateLens Monitor, ClimateLens Adapt) and API (LensConnect). Pricing is quote-based, tailored to customer scale, resolution needs, and number of locations or users.

climate.ai
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components2 values
Technology or R&D, Personnel
Pricing details1 tier
1LensConnect API 7-Day Free Trial
ModelFreemiumBilling cadencePay-as-you-go
Notes

ClimateAi offers a 7-day free trial for the LensConnect API product, allowing users to test access to historical weather data, forecasts up to 6 months ahead at 1km and 25km resolutions before committing to a paid plan.

climate.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 5 records shown
1ClimateLens
Description

The world's first enterprise climate resilience platform for food and agriculture, providing AI-powered climate insights with 1km spatial resolution.

climate.ai
+4 more records
Core offering1 text field

ClimateAI sells the ClimateLens enterprise climate resilience platform, applying AI and proprietary models to global climate and weather data to deliver 1km-resolution forecasts from 1 week to 6 months ahead and long-term scenarios out 10+ years. Core products are ClimateLens Monitor (short-term operational forecasts), ClimateLens Adapt (long-term climate risk analytics), and ClimateLens Monitor Yield Outlook (AI-driven seasonal crop yield forecasts), with the LensConnect API providing developer/enterprise access to the underlying data streams for integration into customer workflows.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 8 values shown
  • Prevented losses between hundreds of thousands to millions of dollars in one season for Advanta Seeds by projecting wet harvest conditions accurately
+7 more records
Product overview1 text field

ClimateAI offers the ClimateLens platform — a unified enterprise climate resilience platform for food and agriculture — comprising three core products: ClimateLens Monitor (short-term weather forecasting 1-6 months), ClimateLens Adapt (long-term climate scenarios 10+ years), and ClimateLens Monitor Yield Outlook (AI-driven seasonal crop yield forecasts). These are supplemented by a public LensConnect API for developer integration, and modular solutions covering Asset Diligence, Demand Planning, Production & Operations, R&D, Sourcing & Procurement, Sustainability & ESG, and Water Risk. The platform applies proprietary machine learning and AI models (including GenAI-based deep generative models) to climate and weather data to provide actionable business insights across the food and agriculture value chain.

Product and service12 records
1ClimateLens Platform
CategoryClimate Resilience Platform
Description

Enterprise climate resilience platform that applies AI and patented models to climate and weather data from multiple sources to generate actionable insights for short- and long-term business decisions across the food and agriculture value chain.

2ClimateLens Monitor
CategoryShort-term Climate Forecasting
Description

Short-term climate forecasting product providing hyper-local 1km spatial resolution insights and day-to-day forecasts up to 6 months ahead for operational decision-making, including pre-season planning, in-season risk alerts, harvest optimization, and sales/marketing demand planning.

3ClimateLens Adapt
CategoryLong-term Climate Risk Analytics
Description

Long-term climate analytics product providing 10+ year visibility into climate risks and opportunities. Includes exploratory tools for climate adaptation, TCFD/CSRD-compliant risk modeling, and water risk index for evaluating future scarcity.

4ClimateLens Monitor Yield Outlook
CategoryCrop Yield Forecasting
Description

AI-driven seasonal yield outlooks for top commodity crops covering key production regions and specific sourcing locations from planting to harvest, updated weekly with regional and location-specific forecasts.

5LensConnect API
CategoryClimate Data API
Description

Public API enabling integration of ClimateAI weather and forecast data into business applications. Provides access to historical weather data (last 1 year of daily records), short-term (1-14 days), subseasonal (2-6 weeks), and seasonal (1-6 months) forecasts at 1km and 25km resolutions globally, with dedicated customer success and data science support.

6Asset Diligence & Portfolio Management
CategoryClimate Risk Due Diligence
Description

Climate risk assessment solution for due diligence processes. Provides asset-specific and portfolio-wide vulnerability analysis with catastrophe and hazard modeling translated into financial terms, covering horizons from one year to 50 years.

7Demand Planning
CategoryDemand Planning
Description

Demand planning solution that assesses seasonal climate risk from supply chain start through potential hazards affecting sourcing, production, and end markets, enabling planning of upcoming demand ahead of weather events.

8Production & Operations
CategoryOperational Climate Intelligence
Description

Operational decision optimization solution with granular, customizable climate and water forecasts linked to yield and quality metrics. Provides weeks or months ahead forecasts with actionable alerts for operational risks.

9Research & Development
CategoryClimate R&D Toolset
Description

R&D-focused toolset helping teams understand how climate conditions and key climate risks evolve over coming years, supporting innovation and adaptation for climate change including trait and seed breeding decisions.

10Sourcing & Procurement
CategorySupply Chain Sourcing and Procurement
Description

Supply chain optimization solution providing granular climate and water insights to forecast weather-caused disruptions, find alternatives, and ensure continuity across the supply chain from one day to 40 years out.

11Sustainability & ESG
CategorySustainability & ESG Reporting
Description

ESG and sustainability solution that simplifies climate risk analysis while meeting sustainability reporting requirements. Supports CDP/TCFD compliance and operationalizes climate adaptation and resilience measures.

12Water Risk
CategoryWater Risk Analysis
Description

Water availability forecasting solution assessing water resources, groundwater, and surface water sources. Provides seasonal forecasts and water-year overviews to inform planning decisions and build resilience.

Scale indicator13 records

Each record includes

Type, Value, Description, Source

Partnership6 partners
Strategic tierCore/FlagshipTypeStrategic or Co-development PartnerAnnounced on2025-12-12
Description

NEC Corporation and ClimateAi signed an MoU in December 2025 to develop climate resilience solutions across multiple industries including agriculture, food supply chain, finance, and insurance. The partnership focuses on AI and climate prediction technologies to improve decision-making and support climate adaptation measures. Initial work includes a conceptual AI model quantifying ROI of climate adaptation for cocoa and rice cultivation in Africa, targeting international development, food security, and industrial resilience.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2025-02-11
Description

ClimateAi provides its LensConnect API to Hitachi for integration into their digital observatory model, a collaborative project with the University of Tokyo. The API provides seasonal weather and extreme event forecasts at 1km resolution to inform supply chain disruption risk across Hitachi's global supplier network. This enables procurement teams to adjust stock controls, negotiate with suppliers, and modify contract volumes up to 6 months ahead.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-01-01
Description

ClimateAi successfully delivered the BROFEW (Baseline Resilience and Operational Forecasting of Extreme Weather) prototype system for the U.S. Department of Defense to enhance DoD resilience with operational forecasting tools. Key deliverables include forecasting across 500+ DoD locations, 1km x 1km resolution for 125 critical sites, global hurricane model (7 regions), and 30m flood hazard analysis. The platform complements existing defense tools and supports mission effectiveness.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2024-01-01
Description

ClimateAi integrates NOAA data including NCCF, PERiLS, Atlas 14, and historical/reanalysis data into its forecasting platform. The DoD BROFEW project specifically includes data integration with NOAA systems for defense forecasting capabilities.

5AIM for Climate
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2021-01-01
Description

ClimateAi joined the joint White House and UAE-backed AIM for Climate (Agriculture Innovation Mission for Climate) initiative in 2021, a global climate change and food security initiative.

climate.ai
Strategic tierCoreTypeOthers
Description

World Bank appears as a customer logo on ClimateAi's finance industry page, indicating usage of ClimateAi's climate risk assessment tools for climate-smart investment insights.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
1DTN
TypeDirect peer
Description

DTN provides weather, climate, and agricultural market data and analytics to farmers, agribusinesses, and commodity traders. It is a longstanding incumbent in agricultural weather forecasting and a direct competitor to ClimateAi's ClimateLens Monitor and Yield Outlook products.

TypeDirect peer
Description

Gro Intelligence provides an agriculture-focused data and forecasting platform that combines climate, weather, and crop data to produce yield forecasts and supply/demand analytics. It is highly comparable to ClimateAi's yield outlook and agribusiness offerings, with overlapping enterprise customers in food and beverage.

TypeDirect peer
Description

Tomorrow.io is a weather intelligence platform offering hyperlocal, AI-enhanced forecasts via API and SaaS, targeting enterprise use cases in logistics, retail, and supply chain. It overlaps with ClimateAi's LensConnect API and ClimateLens Monitor for short-term operational weather-driven decisions.

TypeBroad incumbent
Description

Microsoft bundles climate, geospatial, and ESG data services into Azure and the Planetary Computer, and has been expanding into AI-driven climate and weather analytics. It competes broadly with ClimateAi by offering climate data infrastructure as part of a much larger enterprise cloud platform.

TypeEmerging player
Description

aWhere delivers agronomic weather and climate data plus crop modeling APIs and dashboards to agribusiness customers globally. It has strong overlap with ClimateAi's ClimateLens Monitor and yield outlook products, particularly in emerging markets, but operates at lower resolutions and a narrower product set.

TypeDirect peer
Description

Jupiter Intelligence provides climate risk analytics for physical and transition risk at asset and portfolio level, serving financial institutions, infrastructure owners, and corporations. It is one of the most direct comparables to ClimateAi's enterprise climate risk platform, with similar enterprise go-to-market and use cases (TCFD, scenario analysis, asset diligence).

TypeDirect peer
Description

Descartes Labs applies machine learning and geospatial data to agriculture, sustainability, and supply chain analytics. It overlaps with ClimateAi's AI-driven yield forecasting and climate modeling capabilities and serves similar food, agriculture, and government customers.

TypeBroad incumbent
Description

MSCI provides climate, ESG, and portfolio risk analytics for institutional investors, including physical risk and scenario analysis services. It competes with ClimateAi's finance segment and asset diligence modules, though from a broader financial-data-platform base.

TypeDirect peer
Description

Cervest offers an AI-powered climate intelligence platform providing probabilistic climate risk analytics at asset and portfolio level. It targets enterprise customers across agriculture, finance, infrastructure, and government with similar use cases to ClimateAi's ClimateLens Adapt and asset diligence modules.

TypeBroad incumbent
Description

S&P Global's Trucost and SAM units provide physical and transition climate risk data, ESG analytics, and portfolio-level scenario analysis to financial institutions and corporates. It is a broad incumbent competing with ClimateAi's finance, asset diligence, and ESG reporting offerings.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers15 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile6 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

AI capability6 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature9 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles7 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds6 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors12 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

ClimateAI

Climate Risk Analytics Softwareclimate.ai

ClimateAI is an enterprise SaaS platform that applies proprietary AI and downscaling models to deliver 1km-resolution climate forecasts, helping agribusiness, food and beverage, finance, and defense customers manage physical climate risk in supply chains and portfolios.

What ClimateAI does

ClimateAI (ClimateAi, Inc.) is an enterprise SaaS company that applies AI and machine learning to climate and weather data to help organizations anticipate physical climate risks and translate them into business decisions. Founded in 2017 in San Francisco by Himanshu Gupta and Max Evans (Stanford MBAs), the company has built the ClimateLens platform, which combines physics-informed dynamical downscaling, spectral adjustment, multi-model ensembling, and patented deep generative adversarial networks to produce subseasonal-to-seasonal forecasts (1–6 months) and long-term climate scenarios (10+ years) at 1km spatial resolution globally. Core products include ClimateLens Monitor (operational short-term forecasting), ClimateLens Adapt (long-term risk analytics with TCFD/CSRD compliance), ClimateLens Monitor Yield Outlook (AI-driven seasonal crop yield forecasts for 70+ crops), and the LensConnect API for embedding climate intelligence into enterprise systems.

The platform is delivered through a quote-based enterprise subscription model, sold via direct field sales with discovery/demo conversion, supplemented by an API-first self-serve channel with a 7-day free trial. ClimateAI targets enterprise buyers in agribusiness (Advanta Seeds, Driscoll's, Dole, BASF, Simplot, HM Clause), food and beverage (Suntory, Oatly, McCain, The Wonderful Company), finance (Nuveen Natural Capital, World Bank, Rabobank), and federal/defense (Department of Defense BROFEW project across 500+ installations). The company has raised $38M across seed, Series A, and Series B rounds and reports usage across 80+ countries by 50+ enterprise customers.

ClimateAI firmographics

Firmographics
Name
ClimateAI
Legal name
ClimateAi, Inc.
Website
https://www.climate.ai
Company type
Private
Founded year
2017
Operating status
Operating
Headcount range
51–100 employees
Short description
ClimateAI is an enterprise SaaS platform that applies proprietary AI and downscaling models to deliver 1km-resolution climate forecasts, helping agribusiness, food and beverage, finance, and defense customers manage physical climate risk in supply chains and portfolios.
Ownership category
akta.pro rank

ClimateAI industry classification

Industry
Product category
Climate Risk Analytics Software
NAICS
Software Publishers (513210), Environmental Consulting Services (54162), Computer Systems Design and Related Services (54151)
SIC
Services-Prepackaged Software (7372), Services-Commercial Physical & Biological Research (8731)
akta.pro primary industry
Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization) (EUABALAB)
akta.pro secondary industries
Climate Risk Reporting & Disclosure Analytics (TCFD/ISSB, EU Taxonomy, CSRD, NAIC) (EUABALAG), Adaptation & Resilience Planning Platforms (CAPEX Prioritization, Cost–Benefit, NBS) (EUABALAH), Climate Target-Setting, Transition Planning & Performance Management Platforms (EUABAEAF), Transition Risk Modeling & Policy/Market Pathways (Carbon Price, Regulation, Technology Adoption) (EUABALAD)

Keywords

  • Climate risk analytics
  • Weather forecasting software
  • Agricultural yield prediction
  • Supply chain climate risk
  • Enterprise climate platform

Where ClimateAI is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Offices3 records

Markets served

ClimateAI business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel

Revenue model

  1. SaaS Platform Subscription: ClimateAi operates primarily as a SaaS platform, with the ClimateLens platform provided via subscription to enterprise customers. Access is granted through web-based dashboards (ClimateLens Monitor, ClimateLens Adapt) and API (LensConnect). Pricing is quote-based, tailored to customer scale, resolution needs, and number of locations or users.

Pricing tiers

ModelBillingPrice
FreemiumPay-as-you-goLensConnect API 7-Day Free Trial

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

ClimateAI product offering

Product offering

Core offering

ClimateAI sells the ClimateLens enterprise climate resilience platform, applying AI and proprietary models to global climate and weather data to deliver 1km-resolution forecasts from 1 week to 6 months ahead and long-term scenarios out 10+ years. Core products are ClimateLens Monitor (short-term operational forecasts), ClimateLens Adapt (long-term climate risk analytics), and ClimateLens Monitor Yield Outlook (AI-driven seasonal crop yield forecasts), with the LensConnect API providing developer/enterprise access to the underlying data streams for integration into customer workflows.

Product overview

ClimateAI offers the ClimateLens platform — a unified enterprise climate resilience platform for food and agriculture — comprising three core products: ClimateLens Monitor (short-term weather forecasting 1-6 months), ClimateLens Adapt (long-term climate scenarios 10+ years), and ClimateLens Monitor Yield Outlook (AI-driven seasonal crop yield forecasts). These are supplemented by a public LensConnect API for developer integration, and modular solutions covering Asset Diligence, Demand Planning, Production & Operations, R&D, Sourcing & Procurement, Sustainability & ESG, and Water Risk. The platform applies proprietary machine learning and AI models (including GenAI-based deep generative models) to climate and weather data to provide actionable business insights across the food and agriculture value chain.

Differentiator

Problem solved

Functional benefit

Brands

  • ClimateLens: The world's first enterprise climate resilience platform for food and agriculture, providing AI-powered climate insights with 1km spatial resolution.
  • ClimateLens Monitor
  • ClimateLens Adapt
  • ClimateLens Monitor Yield Outlook
  • LensConnect API

Products and services

  • ClimateLens Platform Enterprise climate resilience platform that applies AI and patented models to climate and weather data from multiple sources to generate actionable insights for short- and long-term business decisions across the food and agriculture value chain.
  • ClimateLens Monitor Short-term climate forecasting product providing hyper-local 1km spatial resolution insights and day-to-day forecasts up to 6 months ahead for operational decision-making, including pre-season planning, in-season risk alerts, harvest optimization, and sales/marketing demand planning.
  • ClimateLens Adapt Long-term climate analytics product providing 10+ year visibility into climate risks and opportunities. Includes exploratory tools for climate adaptation, TCFD/CSRD-compliant risk modeling, and water risk index for evaluating future scarcity.
  • ClimateLens Monitor Yield Outlook AI-driven seasonal yield outlooks for top commodity crops covering key production regions and specific sourcing locations from planting to harvest, updated weekly with regional and location-specific forecasts.
  • LensConnect API Public API enabling integration of ClimateAI weather and forecast data into business applications. Provides access to historical weather data (last 1 year of daily records), short-term (1-14 days), subseasonal (2-6 weeks), and seasonal (1-6 months) forecasts at 1km and 25km resolutions globally, with dedicated customer success and data science support.
  • Asset Diligence & Portfolio Management Climate risk assessment solution for due diligence processes. Provides asset-specific and portfolio-wide vulnerability analysis with catastrophe and hazard modeling translated into financial terms, covering horizons from one year to 50 years.
  • Demand Planning Demand planning solution that assesses seasonal climate risk from supply chain start through potential hazards affecting sourcing, production, and end markets, enabling planning of upcoming demand ahead of weather events.
  • Production & Operations Operational decision optimization solution with granular, customizable climate and water forecasts linked to yield and quality metrics. Provides weeks or months ahead forecasts with actionable alerts for operational risks.
  • Research & Development R&D-focused toolset helping teams understand how climate conditions and key climate risks evolve over coming years, supporting innovation and adaptation for climate change including trait and seed breeding decisions.
  • Sourcing & Procurement Supply chain optimization solution providing granular climate and water insights to forecast weather-caused disruptions, find alternatives, and ensure continuity across the supply chain from one day to 40 years out.
  • Sustainability & ESG ESG and sustainability solution that simplifies climate risk analysis while meeting sustainability reporting requirements. Supports CDP/TCFD compliance and operationalizes climate adaptation and resilience measures.
  • Water Risk Water availability forecasting solution assessing water resources, groundwater, and surface water sources. Provides seasonal forecasts and water-year overviews to inform planning decisions and build resilience.

Quantifiable outcome

  • Prevented losses between hundreds of thousands to millions of dollars in one season for Advanta Seeds by projecting wet harvest conditions accurately
  • +7 more outcomes

Companies that use ClimateAI

Customer profile

Named customers15 records

Segments5 records

Ideal customer profiles6 records

ClimateAI technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature9 records

ClimateAI partnerships and signals

Strategic signal

Partnerships

Six partnerships are on record, tiered core/flagship, core and minor.

  • NEC Corporationcore/flagshipStrategic or Co-development Partner · 12 December 2025NEC Corporation and ClimateAi signed an MoU in December 2025 to develop climate resilience solutions across multiple industries including agriculture, food supply chain, finance, and insurance. The partnership focuses on AI and climate prediction technologies to improve decision-making and support climate adaptation measures. Initial work includes a conceptual AI model quantifying ROI of climate adaptation for cocoa and rice cultivation in Africa, targeting international development, food security, and industrial resilience.
  • HitachicoreTechnology or Integration · 11 February 2025ClimateAi provides its LensConnect API to Hitachi for integration into their digital observatory model, a collaborative project with the University of Tokyo. The API provides seasonal weather and extreme event forecasts at 1km resolution to inform supply chain disruption risk across Hitachi's global supplier network. This enables procurement teams to adjust stock controls, negotiate with suppliers, and modify contract volumes up to 6 months ahead.
  • Defense Innovation Unit (DIU)coreStrategic or Co-development Partner · 1 January 2024ClimateAi successfully delivered the BROFEW (Baseline Resilience and Operational Forecasting of Extreme Weather) prototype system for the U.S. Department of Defense to enhance DoD resilience with operational forecasting tools. Key deliverables include forecasting across 500+ DoD locations, 1km x 1km resolution for 125 critical sites, global hurricane model (7 regions), and 30m flood hazard analysis. The platform complements existing defense tools and supports mission effectiveness.
  • NOAA (National Oceanic and Atmospheric Administration)coreTechnology or Integration · 1 January 2024ClimateAi integrates NOAA data including NCCF, PERiLS, Atlas 14, and historical/reanalysis data into its forecasting platform. The DoD BROFEW project specifically includes data integration with NOAA systems for defense forecasting capabilities.
  • AIM for ClimateminorStrategic or Co-development Partner · 1 January 2021ClimateAi joined the joint White House and UAE-backed AIM for Climate (Agriculture Innovation Mission for Climate) initiative in 2021, a global climate change and food security initiative.
  • World BankcoreOthersWorld Bank appears as a customer logo on ClimateAi's finance industry page, indicating usage of ClimateAi's climate risk assessment tools for climate-smart investment insights.

Scale indicators13 records

Recent moves6 records

Expansion highlights5 records

ClimateAI competitors and assessment

Company assessment

Direct peers

  • DTN: DTN provides weather, climate, and agricultural market data and analytics to farmers, agribusinesses, and commodity traders. It is a longstanding incumbent in agricultural weather forecasting and a direct competitor to ClimateAi's ClimateLens Monitor and Yield Outlook products.
  • Gro Intelligence: Gro Intelligence provides an agriculture-focused data and forecasting platform that combines climate, weather, and crop data to produce yield forecasts and supply/demand analytics. It is highly comparable to ClimateAi's yield outlook and agribusiness offerings, with overlapping enterprise customers in food and beverage.
  • Tomorrow.io: Tomorrow.io is a weather intelligence platform offering hyperlocal, AI-enhanced forecasts via API and SaaS, targeting enterprise use cases in logistics, retail, and supply chain. It overlaps with ClimateAi's LensConnect API and ClimateLens Monitor for short-term operational weather-driven decisions.
  • Jupiter Intelligence: Jupiter Intelligence provides climate risk analytics for physical and transition risk at asset and portfolio level, serving financial institutions, infrastructure owners, and corporations. It is one of the most direct comparables to ClimateAi's enterprise climate risk platform, with similar enterprise go-to-market and use cases (TCFD, scenario analysis, asset diligence).
  • Descartes Labs: Descartes Labs applies machine learning and geospatial data to agriculture, sustainability, and supply chain analytics. It overlaps with ClimateAi's AI-driven yield forecasting and climate modeling capabilities and serves similar food, agriculture, and government customers.
  • Cervest: Cervest offers an AI-powered climate intelligence platform providing probabilistic climate risk analytics at asset and portfolio level. It targets enterprise customers across agriculture, finance, infrastructure, and government with similar use cases to ClimateAi's ClimateLens Adapt and asset diligence modules.

Broad incumbents

  • Microsoft (Azure Climate / Planetary Computer): Microsoft bundles climate, geospatial, and ESG data services into Azure and the Planetary Computer, and has been expanding into AI-driven climate and weather analytics. It competes broadly with ClimateAi by offering climate data infrastructure as part of a much larger enterprise cloud platform.
  • MSCI Climate (ex-ClimateWedge / RiskMetrics): MSCI provides climate, ESG, and portfolio risk analytics for institutional investors, including physical risk and scenario analysis services. It competes with ClimateAi's finance segment and asset diligence modules, though from a broader financial-data-platform base.
  • S&P Global (Trucost / SAM): S&P Global's Trucost and SAM units provide physical and transition climate risk data, ESG analytics, and portfolio-level scenario analysis to financial institutions and corporates. It is a broad incumbent competing with ClimateAi's finance, asset diligence, and ESG reporting offerings.

Emerging players

  • aWhere: aWhere delivers agronomic weather and climate data plus crop modeling APIs and dashboards to agribusiness customers globally. It has strong overlap with ClimateAi's ClimateLens Monitor and yield outlook products, particularly in emerging markets, but operates at lower resolutions and a narrower product set.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

ClimateAI social profiles

Digital presence

ClimateAI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

ClimateAI leadership team

Management profile

Number of profiles

Profiles7 records

ClimateAI funding detail

Funding detail

Funding overview

Funding rounds6 records

Investors12 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

ClimateAI M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about ClimateAI

What does ClimateAI do?

ClimateAI sells the ClimateLens enterprise climate resilience platform, applying AI and proprietary models to global climate and weather data to deliver 1km-resolution forecasts from 1 week to 6 months ahead and long-term scenarios out 10+ years. Core products are ClimateLens Monitor (short-term operational forecasts), ClimateLens Adapt (long-term climate risk analytics), and ClimateLens Monitor Yield Outlook (AI-driven seasonal crop yield forecasts), with the LensConnect API providing developer/enterprise access to the underlying data streams for integration into customer workflows.

Is ClimateAI a public or private company?

ClimateAI is a private company. It is classified as venture growth investor backed and is currently operating.

When was ClimateAI founded?

ClimateAI was founded in 2017. It employs 51 to 100 people.

Where is ClimateAI based?

ClimateAI is headquartered in San Francisco, United States, in the North America region.

How does ClimateAI make money?

One revenue line is on record: saaS Platform Subscription.

Who are ClimateAI's main competitors?

Direct peers on record are DTN, Gro Intelligence, Tomorrow.io, Jupiter Intelligence, Descartes Labs and Cervest. Broad incumbents are Microsoft (Azure Climate / Planetary Computer), MSCI Climate (ex-ClimateWedge / RiskMetrics) and S&P Global (Trucost / SAM). aWhere is listed as an emerging player.

Does ClimateAI have an API?

Yes. ClimateAI offers the LensConnect API which provides access to historical weather data (last 1 year of daily weather records), short-term forecasts (1-14 days ahead), subseasonal forecasts (2-6 weeks ahead), and seasonal forecasts (1-6 months ahead) at both 1km and 25km resolutions globally. The API includes tropical cyclone projections, customer success and data science support, and enables integration for yield forecasting, procurement timing, supply chain risk assessment, and R&D or financial modeling. A 7-day free trial is available. Developer documentation is at docs.climate.ai.

What industry is ClimateAI in?

ClimateAI's product category is Climate Risk Analytics Software. Its primary akta.pro industry code is EUABALAB, Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization), with a secondary code of EUABALAG, Climate Risk Reporting & Disclosure Analytics (TCFD/ISSB, EU Taxonomy, CSRD, NAIC). Its NAICS code is 513210 and its SIC code is 7372.

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CocoaradarClimateAi’s Collapse Raises a Bigger Question: Who Will Pay for Agricultural Intelligence?ClimateAi, a climate-risk intelligence firm, ceased operations on 7 August after eight years, returning remaining capital to investors. The company had raised about $38 million and served over 56 partners, but its closure highlights the difficulty of building sustainable standalone businesses in agricultural data. The article suggests intelligence may be more valuable when integrated into existing workflows rather than sold as a standalone product.AgFunderNews“Climate resilience” platform ClimateAi winds down operationsClimateAi, a San Francisco-based climate technology startup that raised $38 million to help food and agricultural companies adapt to climate change through AI-powered long-range weather forecasting, has announced it is winding down operations. The company blamed unspecified "geopolitical and climate headwinds" for making it difficult to continue its mission, with CEO Himanshu Gupta citing the shutdown on LinkedIn and directing investors to return their capital. The company had built its ClimateLens platform targeting seed, agrochemical, and CPG companies including Dole, Suntory, Oatly, and McCain.EIN PresswireThe Top Weather Analytics Software Vendors According to the FeaturedCustomers Summer 2026 Customer Success ReportFeaturedCustomers released its Summer 2026 Weather Analytics Software Customer Success Report, ranking vendors by customer success score based on over 1,000 verified references. Market Leaders include AccuWeather For Business, DTN, Earth Networks, Planalytics, and The Weather Company, while Top Performers and Rising Stars were also named.AgFunderNewsClimateAi targets key ag pain point with new GDD tool, embeds AI into workflowsClimateAi launched a new tool integrating agentic AI to automate Growing Degree Days (GDD) calculations, helping agricultural customers manage harvest timing and supply chain logistics without manual spreadsheet work. The company reported over 20 immediate signups for the free trial from various crop segments, validating demand for embedded climate intelligence in operational workflows.Dealroom.coClimateAi shuts down after raising $38M in fundingClimateAi, a San Francisco-based startup providing AI tools for climate risk forecasting in agriculture, has shut down after eight years and plans to return remaining capital to investors. CEO Himanshu Gupta attributed the closure to geopolitical and climate headwinds that made it difficult to continue operations. The company previously served major clients such as Dole, Suntory, Oatly, and McCain with its ClimateLens platform.CarboncopyCan Private Players Reinvent India’s Forecasting Future?Indian startups ClimateAi, SatLeo Labs, and Pixxel are developing AI-driven weather forecasting technologies using satellites and new data streams to address gaps in India Meteorological Department capabilities, targeting governments and corporations as clients. Pixxel has raised $95 million and SatLeo raised ₹28 crore ($3.3 million) in funding, while ClimateAi has partnered with ITC for climate risk forecasts for specific crops. Experts note these private players remain unproven at national scale, with limitations including siloed operations, limited data quality, and the inherent difficulty of predicting extreme rainfall compared to heat events.ClimateAI in Agriculture: How Farmers Are Increasing Yields and Reducing RisksArtificial Intelligence is being adopted in agriculture to enhance crop yields, reduce operational costs, and mitigate climate-related risks through precision farming and weather modeling. Case studies highlight significant improvements, such as a 25% increase in grape yields with less water and a 90% reduction in seed-trial costs for major players like ClimateAi and Advanta Seeds.TradingViewNEC and ClimateAi Develop Conceptual Model to Promote Climate Change Adaptation in AgricultureNEC and ClimateAi developed a conceptual model to estimate the effectiveness of climate change adaptation measures for cocoa and rice cultivation in Africa. The model uses AI to analyze factors affecting crop growth and calculate the return on investment for adaptation measures. Results will be presented at TICAD 9 in Yokohama in August 2025.ClimateThe 9 Best Climate Risk Assessment Tools for 2025The article presents a curated list of nine leading climate risk assessment tools for 2025, including ClimateAi, First Street, EcoAct, and S&P Global, designed to help businesses quantify physical and transition climate risks. These platforms utilize advanced modeling, AI, and scenario analysis to assist companies in strategic planning, regulatory compliance, and capital allocation amidst rising climate volatility. The piece highlights the growing necessity for such tools as organizations face potential EBITDA losses and increasing regulatory demands regarding climate resilience.AInvestAI-Driven Climate Research: A Catalyst for Innovation and Risk Mitigation in the Energy and Environmental SectorsAI-driven climate tech is projected to generate $26 trillion in economic value by 2030, with a 24% CAGR through 2026. Applications include methane leak detection and grid optimization, supported by IRA and EU regulations. Investors are advised to target firms like AutoGrid and ClimateAI.