How It Works
Learn how we collect, validate, and publish AI environmental data from public sources to create the most comprehensive sustainability ranking.
How We Collect Data
Multiple public sources combined
We compile publicly available environmental data from multiple sources to create a comprehensive view of each AI company's environmental impact.
Our Data Sources
1. Corporate ESG Reports
Annual sustainability reports published by AI companies containing environmental metrics, energy consumption, and carbon emissions data.
Examples: Environmental reports from major AI companies
Updated: When new reports are published2. Public Environmental Data
Real-time and historical environmental data from verified public sources:
- •Grid carbon intensity by region
- •Public datacenter environmental metrics
- •Research-based emissions estimates
- •Company-published sustainability data
3. Scientific Research
Peer-reviewed academic studies about AI energy consumption and environmental impact:
- •Energy consumption studies for AI models
- •Carbon emissions research
- •University research on AI sustainability
4. Manual Verification
Additional verification through public sources when data is incomplete:
- •Press releases and company announcements
- •Investor presentations with ESG data
- •Regulatory filings and compliance reports
- •Published datacenter specifications
The Data Pipeline
From raw data to rankings
Our process transforms public environmental data into comparable rankings through systematic collection, validation, and publication.
Collection
We gather environmental data from corporate reports, scientific research, and public databases.
Integration
Data from multiple sources is consolidated and organized for processing.
Validation
All data passes through validation rules: detecting outliers, cross-referencing sources, and flagging inconsistencies.
- ✓ Cross-reference multiple sources when possible
- ✓ Flag values outside expected ranges
- ✓ Verify datacenter locations
- ✓ Track all changes with timestamps
Score Calculation
We apply our open methodology to calculate the Environmental Impact Score (EIS) for each company. All algorithms are documented.
See detailed methodology →Storage & Versioning
Processed data is stored with full version history. Every change is tracked and timestamped.
Publication
Updated rankings are published on the platform, making data accessible to journalists, researchers, and the public.
Transparency
Methodology fully documented
Our scoring methodology, data sources, and formulas are publicly documented. Anyone can verify how we calculate environmental impact scores.
Public Rankings
Environmental data accessible on our platform:
- •Monthly rankings with detailed scores
- •Company profiles with historical data
- •Downloadable reports (PDF format)
Documented Methodology
Complete documentation of our scoring system:
- •EIS formula breakdown (weights, benchmarks, thresholds)
- •Data sources with references (ESG reports, APIs, research)
- •Calculation examples (step-by-step score derivation)
Community Input
We accept corrections and data submissions:
- •Report data errors or outdated information
- •Companies can submit official environmental metrics
- •Peer review of methodology via email
Complete Independence
We maintain full editorial independence:
- •No funding from ranked AI companies
- •No cloud provider sponsorships
- •No pay-to-improve rankings
Our Impact
How transparency enables better decisions
By making environmental data accessible and comparable, we enable multiple audiences to make informed choices based on objective metrics.
Consumers & Developers
Identify greener AI providers
- →Compare companies using GreenCodeAI Environmental Impact Score (EIS ≥ 80)
- →Filter by transparency scores and data availability
- →Discover open-source models hosted on renewable energy
ESG Investors
Assess sustainability performance
- →Consider GreenCodeAI EIS scores for new investment perspectives
- →Identify companies with comprehensive environmental reporting
- →Benchmark companies against industry standards
Journalists & Media
Access public sustainability data
- →Compare public commitments vs. reported metrics
- →Compare different reporting methodologies and approaches
- →Use data-driven insights in evidence-based journalism
Policymakers & Regulators
Inform AI sustainability policies
- →Explore alternative perspectives on AI environmental metrics
- →Gain insights on environmental reporting practices
- →Consider data-driven approaches for industry benchmark discussions