AI‑Driven Carbon Registry
Solutions

AI‑Driven Carbon Registry

Automate credit verification, anomaly detection, and impact forecasting with ML analytics.

Geospatial dashboard
Built for Governments, Registries & Markets

From Satellite to Serialized Credit—Fully Integrated

XGC’s AI‑Driven Carbon Registry ingests geospatial data, applies trained models and methodology‑aware calculators, and delivers auditable carbon tonnage directly into XGCERP as inventory tied to the project record. Every step is versioned, traceable, and ready for tokenization and compliance reporting.

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How it Works

Geospatial → AI Models → Methodology → ERP

1

Define Area

Select your project on the map and draw a polygon (AOI). Import shapefiles/GeoJSON or digitize directly.

2

Ingest Imagery

Fetch multi‑temporal satellite/drone scenes and harmonize them for cloud/shadow masking and indices.

3

Run AI Models

Apply trained models (land‑cover, biomass estimation, growth & degradation detection) with uncertainty bands.

4

Methodology Engine

Execute calculators aligned to common frameworks such as REDD+, ARR, IFM and blue‑carbon approaches.

5

QA & Anomaly Detection

Flag outliers, leakage risks, and double‑counting with rule‑based and ML anomaly checks; produce audit trails.

6

ERP & Tokenization

Post verified tonnage as serialized inventory in XGCERP; optionally mint NFTs for registry & market settlement.

Geospatial AI Pipeline

From AOI Polygons to Crediting Calculations

  • AOI Digitization: Draw polygons, upload shapefiles/GeoJSON, and manage baselines and buffers.
  • Pre‑Processing: Radiometric correction, cloud/shadow masking, mosaicking, and index stacks (NDVI, NDMI, EVI, MNDWI, etc.).
  • Model Inference: Land‑cover segmentation, canopy height/AGB proxies, change detection, and growth curves.
  • Uncertainty & Sampling: Stratified sampling, confidence intervals, and Monte‑Carlo style variability estimates.
  • Methodology Layer: Parameterized calculators for REDD+, ARR, IFM, mangroves & seagrass blue‑carbon pathways.
  • Time Series: Programmatic re‑runs on schedule to keep monitoring and issuance cycles current.
Connected to XGCERP

Credit Lifecycle, End‑to‑End

Inventory & Serialization

Issue approved tonnage into inventory items with batch/serial tracking and per‑ton metadata (project, vintage, AOI, methodology, uncertainty).

Governance & Workflows

Dual approval, role‑based access, immutable logs, and cross‑checks that prevent double issuance or cross‑project overlaps.

API & Integrations

Connect validation/verification bodies, national registries, and market venues through secure APIs for seamless audits and settlement.

Real‑Time Analytics

Dashboards for Impact & Risk

Forecasting

Projected tonnage by vintage with confidence bands and issuance readiness windows.

Anomalies

Automated alerts for degradation, leakage and land‑use changes within AOI and buffers.

Audit Pack

Export method runs, parameters, intermediate rasters, and decisions with full provenance.

FAQs

What customers ask us most

What imagery do you support?

We work with multi‑source satellite and drone imagery. Scenes are harmonized for temporal analysis and quality‑checked before model runs.

Which methodologies are available?

Our methodology engine supports common frameworks such as REDD+, ARR, IFM, and blue‑carbon approaches for mangroves and seagrass. Custom calculators can be configured.

How do credits reach the registry/market?

Approved tonnage is posted as serialized inventory in XGCERP and may be minted as NFTs for registry and market workflows, with end‑to‑end audit trails.

Can we integrate national rules?

Yes. The platform is configurable to national mandates, including Article 6 reporting structures, approval chains, and language localization.

Compliance & Security

Enterprise Controls for Sensitive Climate Data

1

Governance

Role‑based access, approvals, and immutable logs so every issuance is defensible.

2

Privacy & Key Management

Encryption in transit/at rest and secure key custody for tokenization actions.

3

Integration

APIs for verification bodies, national registries, and markets to streamline audits.

4

Observability

Full provenance of imagery, models, parameters, and outputs preserved for review.

Proposed Future Development Not in Scope

What’s Next

Adaptive Baselines

Dynamic baseline selection that blends reference regions with real‑time economic/land‑use signals.

Multi‑Jurisdiction Linking

Cross‑registry reconciliation for projects spanning provinces/states with distinct rules.

Generative Reports

Auto‑drafting of validation/verification documents from audit packs and methodology runs.

Ready to see it in action?

Book a live walkthrough of the AI‑Driven Carbon Registry and geospatial pipeline.