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Carbon-ML

Ecosystem defining <CarML> a standard language for product and service CO2e declarations

The Carbon-ML Ecosystem, a Global Language for Carbon
  • Industry Consortia collaboration defining standards and principles
  • Reporting formats for industries and services in a standard language <CarML>
  • Product and Service embodied carbon recorded along the supply chain
  • Track & Trace the who, what, why, when, where, and how of carbon
  • Measurement and methodology displayed for supply chain transactions and events
  • Supports and re-uses existing product schemas and taxonomies
  • Open Source. Extensible. Technology Agnostic.

The Vision

The Problem: Tracking, Measuring, Reporting Carbon Emissions is fragmented and uses unstructured data preventing carbon information scale.

The Vision: To develop an extensible open-source global taxonomy and schema that provides a trusted and visible report of carbon embodied in each product and service at every point along the supply chain.

The Objective

To have an extensible open ecosystem utilizing related schema developed for the measurement of embodied carbon that is trusted and visible, open-source, adaptable for ease of implementation globally, and is technology agnostic.

To have the ecosystem produce standard language-based reports to track the measurement of embodied carbon associated with every product and service at every point along supply chains – upstream and downstream.

To have ecosystem participants develop related solutions such as displaying a product’s embodied carbon on product labels so that companies, consumers, suppliers, governments, etc. can make more informed choices.

The Principles

The Carbon-ML ecosystem combines declaring the measuring, tracking and tracing embodied carbon within any product with the development of an extensible taxonomy and schema utilizing open-source technical code. Therefore, the guiding principles use the principles from climate, product, sustainability, and technology taxonomies.

A main guiding principle is for to seamlessly integrate with any schema and taxonomy, and to be adaptable for local, regional, and country based norms.

The carbon-ml ecosystem and schema evolve to support over product, supply chain and government carbon needs.

Use Cases

Consumer Goods

<CarML> supporting consumer goods would allow the “labelling” of approximately 100 million consumer products out of the box and be seamlessly integrated with existing inventory supply chains.

Procurement managers can compare based on Carbon quality. Informed consumers can take action.

International Trade

<CarML> supporting international trade, customs and border agents, policies such as the EU Carbon Border Adjustment Mechanism (CBAM).

More accurate and standardized assessment of reporting of embodied carbon in products in line with customs carbon border policies.

Regulatory

<CarML> providing better CO2e data means cleaner procurement choices from suppliers and reduced scope 1, 2 & 3 upstream carbon.

Legislation, regulations and enforcement of Carbon policies like “buy clean” become manageable.

Financial Markets

<CarML> supporting investment decisions by providing easier, more accurate tracking of embodied CO2e in companies products and services.

Our Partners

The Carbon-ML ecosystem is made of industry consortia defning the message types and language best suited to get the job done while maintaining the the highest environmental integrity, transparency & governance.

Current partner discussions include companies setting product standards and labeling, providing environmental mitigation instruments, and the hard to decarbonize sectors among others.