Institutional-Grade · Audit-Ready · Science-Backed

About Athlas Verity

Athlas Verity is the institutional-grade carbon credit verification platform developed by CarbonFi Labs. We fuse satellite intelligence, multi-model AI reasoning, and eight internationally recognised methodology frameworks into a single, auditable verification engine — so that every tonne of claimed carbon reduction is transparently substantiated.

Our Mission

To accelerate the global transition to net-zero by providing reliable, transparent carbon credit verification that bridges the trust gap between project developers, corporate buyers, institutional investors, and regulatory bodies. We believe that every carbon credit should be backed by irrefutable, independently auditable evidence.

Our Vision

A global carbon market where every traded credit has a verifiable, science-grade provenance — removing greenwashing risk, reducing verification costs, and enabling capital to flow efficiently to the highest-integrity climate solutions on the planet. Athlas Verity is the infrastructure layer that makes this possible.

Core Technology Pillars

Athlas Verity integrates four independent verification layers into a single coherent workflow — from raw satellite imagery to a signed, registry-ready PDF report.

Satellite Intelligence

Real-time RGB and NDVI composite imagery from Sentinel-2 and Landsat is processed to quantify biomass, deforestation rates, and land-cover change with sub-hectare precision. Every polygon is validated against Collect Earth Online ground-truth datasets.

AURA AI Consensus Engine

A proprietary multi-model AI pipeline — combining DeepSeek and Gemini — generates independent plausibility scores and cross-validates carbon estimates. The consensus score is an authoritative integrity classification backed by explainable reasoning.

Eight-Framework Verification

Every report is weighted across IPCC AR6 (35%), CarbonPlan (25%), VCS/Verra (20%), and Open MRV (20%) methodologies, with additionality, leakage, permanence, and uncertainty quantified in a single audit-ready output.

Institutional-Grade Reporting

Automated PDF reports include full methodology citations, geospatial maps, satellite imagery composites, lifecycle emission boundaries (Scope 1/2/3), and a 95% CI uncertainty range — ready for submission to registries and regulators.

Methodology Alignment

Verification outputs are cross-referenced against eight internationally recognised standards, ensuring compliance with the broadest set of registries and regulatory jurisdictions.

IPCC AR6
WG3 Ch.12 – Climate Change Mitigation
VCS / Verra
Verified Carbon Standard Protocol
CarbonPlan
Additionality Assessment AA-1/2/3
Puro.earth
Chain of Custody + Buffer Pool
ISO 14064-2:2019
GHG Project Quantification
Open MRV
Leakage Boundary Accounting
Isometric
95% Confidence Interval Uncertainty
Regen Network
Ecological Credit Class ECC-A/B/C

Five Carbon Credit Categories

Athlas Verity supports the full spectrum of carbon credit types, each with a dedicated quantification engine and methodology-specific calculation parameters.

Green Carbon
Forest & land-use emission reductions verified against IPCC AR6 and VCS protocols.
Blue Carbon
Mangrove, seagrass, and tidal wetland sequestration with satellite-backed biomass validation.
Renewable Energy
Solar, wind, and hydro emission displacement with grid-factor benchmarking.
Nature-Based Solutions
Regen Network ECC-A/B/C + Collect Earth Online spatial validation.
Carbon Dioxide Removal
Direct air capture and biochar CDR with Puro.earth CoC and Isometric uncertainty bounds.
Developed by CarbonFi Labs

The Team Behind Athlas Verity

CarbonFi Labs is a climate technology company dedicated to building the data infrastructure required for a high-integrity global carbon market. Our multidisciplinary team combines expertise in remote sensing, environmental science, distributed systems, and institutional finance.

We are committed to open methodology transparency: every calculation in Athlas Verity references published scientific frameworks, and our verification parameters are fully documented in our developer reference guide — so any auditor can reproduce and validate our outputs independently.

Open methodology — every formula cites its source standard

Multi-model AI consensus — no single point of algorithmic failure

Satellite-validated geospatial data for every project polygon

95% confidence interval uncertainty quantification (Isometric-grade)

Full Scope 1/2/3 lifecycle boundary per ISO 14064-2:2019

Audit-ready PDF reports with complete provenance chain

Ready to Explore the Platform?

Read the full methodology documentation or return to the home page to see Athlas Verity in action.