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Carbon data overview
Review the overall picture and Scope categories in the demonstration dataset.
Actual product · Demonstration data
The Capy Family / CapyG
CAPYG · CARBON INTELLIGENCE
Make factory carbon data easier to understand, trace and report.
CapyG is used by customers
CapyG helps industrial organizations organize operational carbon data, evidence and reporting workflows in one place.
INSIDE CAPYG / 6 PRODUCT VIEWS
Explore the CapyG screens
Choose the workflow you want to explore. Select an image to open the full screen.
Product and demonstration screens, with enlarged details identified in each caption. Screen language is shown as captured.
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Scope 1 — direct emissions
Review the context of fuel, vehicles, leaks and processes.
Actual product · Demonstration data
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Evidence center
Keep documents and review status close to the records they support.
Actual product · Demonstration data
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Readiness checklist
Review complete and outstanding items. The displayed score is demonstration data, not certification by Thailand's TGO.
Actual product · Demonstration dataView full image 05
Evidence by Scope
An enlarged view of document cards, their status and evidence category.
Detail from an actual product screen · Demonstration dataView full image 06
Items still requiring review
An enlarged view of readiness topics and outstanding checklist items.
Detail from an actual product screen · Demonstration dataThese screens show the interface and workflows. Records and figures are sample data or have been redacted. Available modules depend on the scope agreed for each organization.
01 / The operational problem
The total is only as useful as the records behind it.
Energy bills, fuel records and supporting files often arrive from different people. Factory carbon reporting needs a traceable path from activity to evidence and review, so a management number can be explained.
Data and source context
- Factory Activity
- Energy
- Fuel
- Materials
- Transport
- Other Sources
CapyGOperational context
What the team reviews
- Emission Context
- Evidence
- Review
- Report
- Management View
02 / What the user sees
Follow the record, not just the carbon total.
Organize activity data
Keep the source, period and activity quantity together so the record has a clear context.
Connect evidence
Link supporting evidence to activity records and see its review status.
Trace the calculation
Retain emission-factor context with the activity so reviewers can understand how a value was derived.
Review the gaps
Use evidence status and the audit trail to structure the next review conversation.
See reporting readiness
Give management a view of the records and gaps that need attention before reporting.
03 / The role of AI
A clearer starting point for the next decision.
The intended AI role is to help make evidence and data gaps understandable for human review. The brief below illustrates that role; it is not a verified live AI feature or an assurance opinion. Current demonstrated value is in activity records, linked evidence and traceability.
What AI does not do
AI does not certify emissions, approve methodology or replace a qualified reviewer. This page does not promise regulatory submission, certification, or an automatically generated compliant report. Report formats and any AI-assisted review are confirmed in the product walkthrough.
04 / Fit with existing systems
Start with the operation you already have.
Start with existing activity records and supporting documents. Agree the organizational boundary, reporting period, units, data owners and review responsibilities. Assess each required data connection separately; no universal ERP, meter or regulatory integration is assumed.
05 / Implementation
Agree the scope. Start with a useful decision.
- 01
Discover
Define the factory boundary, period and reporting use case.
- 02
Connect
Identify activity records, evidence sources and data owners.
- 03
Configure
Agree activity categories, factor context and review responsibilities.
- 04
Use
Review records and evidence gaps before preparing reporting outputs.
Scope and implementation plans depend on data, existing systems and team readiness, and are agreed after discovery.
Before you get started
Who is CapyG for?
For factory sustainability teams, data owners and managers who need to collect activity records, review evidence and understand reporting readiness.
What should we prepare for a walkthrough?
Bring one reporting period, the activity sources you collect and an example of how evidence is reviewed today.
How does it fit existing systems?
Start with existing activity records and supporting documents. Agree the organizational boundary, reporting period, units, data owners and review responsibilities. Assess each required data connection separately; no universal ERP, meter or regulatory integration is assumed.
What are the limits of AI?
AI does not certify emissions, approve methodology or replace a qualified reviewer. This page does not promise regulatory submission, certification, or an automatically generated compliant report. Report formats and any AI-assisted review are confirmed in the product walkthrough.
06 / Your next step
Discuss your carbon-data workflow
Bring one reporting period, the activity sources you collect and an example of how evidence is reviewed today.
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