View 1 · Why plumbing at all

Without a shared standard, every connection is hand-built.

In plain terms

If six platforms each want to swap carbon data, they need 15 custom connectors — and every new platform adds five more. Route everyone through COMET instead and it's one connector each. The mess on the left is why integration is slow and expensive. The hub on the right is COMET.

Point-to-point 6 systems · 15 custom links Through COMET 6 systems · 6 links COMET shared layer
Business result Integration cost grows linearly, not quadratically. Onboarding a new partner drops from a project to a plug-in — −82% data-exchange effort in the steel pilot.

Link math: n(n−1)/2 point-to-point vs. n through a hub. Effort figure from the 50-use-case stakeholder analysis.

View 2 · What COMET actually is

The apps you use sit on top. COMET is the pipe layer beneath.

In plain terms

CarbonSig, your ERP, an ESG dashboard, a registry — those are the taps you turn. COMET is the plumbing between them and the raw data: meters, invoices, emission-factor databases. It's invisible in daily use, which is exactly the point of good infrastructure.

WHAT YOU SEE — APPLICATIONS CarbonSig ERP / SAP ESG platform Credit registry Regulator portal COMET the shared data layer — one meaning for every term L1→L7 · 963 terms Energy meters Invoices / BOMs LCA tools Emission factors Certificates WHERE DATA IS BORN — RAW SOURCES
Business result Swap or add an app without re-plumbing your data. Vendors ship npm install @comet/ontology and read everyone else's carbon data on day one.

View 3 · How one number travels

Follow one tonne of steel from meter reading to market price.

In plain terms

A single record moves through COMET's seven layers, picking up a new fact at each stop. It starts as “a mill made some steel” and ends as a verified, priced, tradeable carbon passport — one connected record, not seven disconnected spreadsheets.

Business result A PCF that took 3 days of spreadsheet stitching now generates in half a day — and every field carries a full audit trail back to the meter.

Illustrative values for one hot-rolled-coil record. Time figures from the steel-producer use cases (3→0.5 days PCF; 100% audit trail).

View 4 · How it speaks every dialect

Enter the fact once. Emit it in every format the world demands.

In plain terms

A regulator wants a CBAM declaration. An investor wants CSRD numbers. A customer wants an ISO 14067 footprint. A market wants a credit record. Same underlying fact, four different forms. COMET holds it once and renders each on demand — no copy-paste, no version drift.

One COMET object product: HR coil pcf: 1.85 tCO₂e/t verified: true EF vintage: 2024
Business result One source of truth means no re-keying and no contradictory numbers across filings. A customer PCF request that took days is answered in under a minute.

View 5 · How trust travels with the data

The auditor's opinion becomes data, not a PDF in an inbox.

In plain terms

A carbon claim is only worth what its assurance is worth. COMET models the whole verification engagement — findings, corrective actions, materiality, the signed opinion — as connected records. Anyone downstream can check “who signed this, and how” by querying, not by reading a scanned document.

Producer activity data energy, BOMs draft PCF COMET verification • materiality threshold • findings log • corrective actions • site-visit record • independence decl. Signed opinion unqualified ISO 14064-3 · ISAE 3410 accredited body Regulator queries it Market prices it Raw data → assured, queryable claim — the whole engagement is machine-readable.
Business result The ~$20 billion/yr carbon-verification market goes from PDF exchange to queryable assurance — −72% audit-prep time and $47–110K/yr audit-cost savings in the steel case.

Verification model exercises ISO 14064-3, ISO 14065 and ISAE 3410. Savings from the steel-producer use cases.

View 6 · Who plugs in

One shared bus. Each role writes what it knows, reads what it needs.

In plain terms

COMET behaves like a data bus every stakeholder taps into. A steel mill writes a verified footprint; an automaker reads it into its Scope 3; a bank reads it to price risk; a regulator reads it to check a border tariff. Same graph, ten different jobs.

← COMET DATA BUS · everyone reads & writes the same graph →
Business result An automaker's supplier coverage jumps 9.5× and onboarding effort drops −67% — because suppliers write to the bus once instead of filling in each customer's bespoke template.

Ten MECE stakeholder groups from the stakeholder-benefits analysis. Coverage/onboarding figures from the automotive use cases.

View 7 · So what — the results

Plumbing you don't see. Results you do.

In plain terms

Interoperable data isn't an IT nicety — it moves money and time. Here are representative, sourced outcomes from the 50-use-case analysis, grouped by the kind of result. Every figure traces to a specific stakeholder workflow.

Bottom line Faster reporting, lower audit bills, fewer errors, new premium revenue, and compliance by construction — all downstream of one thing: carbon data that flows without translation loss.

All 20 figures are drawn from the 200 sourced metrics in the Stakeholder Benefits analysis (published benchmarks, regulatory impact assessments, pilot results). Ranges reflect reported low–high bounds.

That's the whole trick: shared meaning, so carbon data can move.

COMET is free, open, and community-governed. Explore the actual vocabulary that makes all of the above work — or see where it sits among the world's carbon standards.

Explore the schema map → See it at the heart of carbon data All 50 use cases