The Science-Backed
Carbon Credit
Verification Platform
Athlas Verity delivers AI-powered satellite analysis, multi-framework consensus scoring, and audit-ready institutional reports — across all five carbon credit domains.
Powered by IPCC AR6 · VCS · CarbonPlan · Puro.earth · ISO 14064-2 · OpenMRV · Isometric 95% CI
Verified Against Industry-Leading Methodology Frameworks
All Five Carbon Credit Types — One Platform
Methodology-specific calculation engines calibrated to each project type's scientific requirements, uncertainty floors, and compliance standards.
Green Carbon
Forest and land-based carbon sequestration with satellite vegetation analysis and above-ground biomass estimation using IPCC 9-step methodology.
Blue Carbon
Coastal ecosystem carbon accounting for mangrove, seagrass, and tidal wetland habitats with sediment carbon modeling and ≥20% uncertainty floor.
Renewable Energy
Clean energy projects with grid emission factor validation, MWh generation verification, and additionality confidence scoring per IEC standards.
Nature-Based Solutions (NBS)
Regen Network ECC-A/B/C + Collect Earth Online validation + CarbonPlan additionality AA-1/2/3
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Carbon Dioxide Removal (CDR)
Puro.earth CoC compliance + Isometric 95% CI + ISO 14064-2:2019 lifecycle boundary
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End-to-End Verification Infrastructure
Every tool required to go from raw project data to a tamper-evident, institutionally accepted carbon verification.
Satellite Intelligence
Real-time RGB + NDVI composite analysis with automated vegetation classification, biomass estimation, and geospatial polygon validation.
AURA AI Consensus
Multi-model AI verification pipeline using DeepSeek and Gemini to produce plausibility scores and integrity classifications.
Audit-Ready Reports
Institutional-grade PDF reports with full methodology documentation, geospatial annexes, and tamper-evident verification hash.
Uncertainty Quantification
Quantile regression with conservative P10 selection and enforced uncertainty floors: ≥20% for Blue Carbon, 95% CI for CDR.
4-Framework Consensus
Weighted consensus scoring across IPCC (35%), CarbonPlan (25%), VCS/Puro (20%), and OpenMRV (20%) frameworks.
Geospatial Validation
GeoJSON polygon intake with coordinate precision verification, area calculation, and satellite overlay for boundary confirmation.
Satellite Intelligence Meets AI Consensus
Athlas Verity fuses multi-spectral satellite imagery — including NDVI heatmaps and RGB composites — with a multi-model AI pipeline (DeepSeek + Gemini) to produce scientifically defensible carbon stock estimates at scale.
- Collect Earth Online validation integration
- AURA plausibility scoring with model consensus
- GeoJSON boundary verification & area computation
- Tamper-evident SHA-based verification hash
From Data to Verified Report in 4 Steps
A streamlined, scientifically rigorous pipeline that turns raw project data into an audit-ready institutional verification document.
Submit Project Data
Upload satellite imagery, field survey data, GeoJSON boundaries, and project specifications via structured intake forms.
Satellite & NBS Analysis
Automated NDVI vegetation classification, biomass estimation, and additionality scoring using Earth-observation data.
AI Consensus Scoring
DeepSeek + Gemini multi-model plausibility checks with AURA integrity classification and leakage risk assessment.
Export Verified Report
Institutional-grade PDF with full audit trail, methodology citations, geospatial annex, and tamper-evident hash.
Built on Every Major Carbon Standard
Each verification engine references the precise methodology standards applicable to its carbon credit type — from IPCC AR6 forest biomass equations to Puro.earth Certificate of Conformity requirements for CDR projects.