Net Zero Compare
Updated by Maílis Carrilho on January 13th, 2026
ClimateAi is a cloud-based climate risk analytics platform focused on physical climate risks, such as heat stress, drought, flooding, and precipitation variability. The software helps companies, especially in agriculture, food systems, and climate-sensitive supply chains, understand how climate hazards may affect operations, yields, sourcing regions, and long-term planning. The platform uses climate models, geospatial data, and machine learning to deliver forward-looking risk insights, supporting resilience planning, sourcing strategy, and operational decision-making. ClimateAi is a risk and adaptation tool, not a carbon accounting or ESG reporting platform.

Available Climate Risk Management Features

Alerts/Notifications
Benchmarking & Peer Comparison
Climate Scenario Analysis
Compliance Reporting
Customizable Reporting Templates
Data Import/Export
Geographic Mapping (GIS)
Real-Time Monitoring (non-energy)
Risk Assessment & Scoring

Missing Climate Risk Management Features

Audit Support
Integration with IoT Sensors
Scope 1 Emissions Tracking
Scope 2 Emissions Tracking
Scope 3 Emissions Tracking

Pricing

Starting Price
No data available
Options
No data available

Available Since

2017

Deployment Options

No data available

Good Option For

No data available

Deep dive


Core Features

  • Physical Climate Risk Analytics: ClimateAi models climate hazards, including temperature extremes, water stress, rainfall volatility, and extreme weather, mapped to specific regions and assets.

  • Forward-Looking Climate Forecasts: The platform provides projections across short-, medium-, and long-term horizons, supporting scenario-based planning rather than historical-only analysis.

  • Agriculture & Crop Risk Insights: ClimateAi is widely used in agriculture and food systems to assess yield risk, crop suitability shifts, and climate exposure across sourcing regions.

  • Supply Chain Risk Mapping: Companies can evaluate climate risk exposure across sourcing locations, suppliers, and geographies, supporting resilience and diversification strategies.

  • Scenario-Based Decision Support: ClimateAi supports analysis under different climate scenarios, helping users stress-test sourcing strategies and operational plans.

  • Dashboards & Visual Analytics: Interactive dashboards present climate risk indicators in an accessible, decision-oriented format.

Plans & Pricing

ClimateAi is offered as a subscription-based SaaS platform.
Pricing is not publicly disclosed and typically depends on:

  • Geographic scope

  • Number of assets, crops, or sourcing regions

  • Scenario depth and forecasting horizons

  • Enterprise vs research use cases

Integrations

Public information suggests ClimateAi supports:

  • Data ingestion from internal asset, sourcing, and location datasets

  • Export of analytics outputs for internal reporting and planning tools

The availability of fully documented APIs is not clearly detailed publicly.

Certifications & Assurance

ClimateAi references scientific climate data sources and modelling approaches. Specific ISO certifications or formal assurance standards are not consistently disclosed.

Customers & Use Cases

ClimateAi is used by:

  • Agribusinesses and food companies

  • Consumer goods companies with climate-sensitive supply chains

  • Investors and risk teams assessing physical climate exposure

Use cases focus on resilience planning, sourcing strategy, and climate risk disclosure support, rather than sustainability reporting.

Closing Insights

From a Net Zero Compare perspective, ClimateAi should be positioned as a Climate Risk & Resilience Analytics platform, not as a climate accounting or ESG reporting tool. Its strength lies in forward-looking physical risk intelligence, making it particularly valuable for agriculture, food systems, and geographically exposed supply chains.

Resources


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