AI-native system of action for environmental data

One transactional data foundation for your entire environmental impact management

The Carbontology gives you a flexible, highly granular foundation built for speed, change, and complexity. Elevate AI-based scenario planning act on AI-driven reduction recommendations. Adapt instantly to evolving requirements with custom models, modular data structures, and full auditability—enabling accurate, enterprise-wide environmental management from BOM to boardroom.

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Trusted by leading enterprises

5.8Gt CO2e under Management

Case study

Case study

Case study

Case study

Case study

Still Relying on Scattered, Inaccurate Data to Manage Environmental Impact?

Without structured, SKU-level insights, carbon accounting becomes guesswork—delaying compliance, supplier collaboration, and meaningful progress on environmental goals when precision is critical.

No consistency across systems: Emissions data is buried in disconnected ERP, BOM, and supplier records.

Limited transparency: Generic averages and disconnected data make carbon impact hard to trace across products and suppliers.

Slow, manual processes: Delayed reporting and static models prevent real-time decisions.

Without structured, SKU-level insights, carbon accounting becomes guesswork—delaying compliance, supplier collaboration, and meaningful progress on environmental goals when precision is critical.

AI-Native Environmental Accounting, Built on Carbontology

Put your data to work with AI-native environmental accounting—built on your transactional records to deliver precise, scalable, and audit-ready insights across your value chain.

Plan Smarter with AI-Powered Scenario Modeling

Model the impact of every decision—before you make it. Carbmee’s AI uses your real operational data to simulate decarbonization scenarios that are aligned with business and compliance goals.

Simulate changes across suppliers, materials, logistics, and energy use
Model outcomes against cost, feasibility, and reduction targets
Align actions with SBTi pathways or internal benchmarks
Use MACC curves to prioritize decisions based on ROI

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Achieve Accuracy with AI-Driven Emission Factor Matching

Precision starts with the right data. Carbmee’s AI maps emission factors to your transactional records—ensuring your environmental impact reflects real sourcing and production conditions.

Match emissions factors to each SKU or service using NLP and global databases
Structure and enrich BOM and procurement data at scale
Identify and resolve inconsistencies automatically
Localize emissions data by supplier region and material type

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Rely on our Conversational Agent processing the most complex environmental data problems

Focus your resources where they matter most. Carbmee’s AI identifies high-impact reduction levers and ranks them by potential and cost-efficiency.

Navigate multi-dimensional trade-offs across cost, carbon, and feasibility
Detect emissions hotspots across products, suppliers, and geographies
Quantify abatement potential for each reduction action
Rank and recommend based on financial feasibility
Empower teams to act on data—not assumptions

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Carbontology: Turning Transactional Data into Environmental Intelligence

Carbontology is the scalable data backbone for enterprise environmental management—connecting ERP, PLM, and supplier data at the transactional level. It powers auditable, high-granularity modeling across your operations, enabling flexible, scenario-based decision-making and enterprise-wide emissions management at scale.

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Verified Results. Real Impact.

"With the carbmee EIS™, we successfully processed over 1 million transactions annually. The platform’s scalability and efficiency enabled us to integrate complex data across all organizational units, transforming our carbon management process into a streamlined, actionable and audit-ready framework."

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