# Methodology
Source: https://greenpixie.com/docs/methodology

How Greenpixie calculates the environmental impact of cloud and AI usage.

## Our approach: Maximum coverage - uncompromising rigour [#our-approach-maximum-coverage---uncompromising-rigour]

Greenpixie's methodologies are designed to deliver consistent, evidence-based estimates across an entire cloud and AI estate, not just a small subset of core services or frontier models. In production, we typically map over 99% of customer cloud usage while applying the same documented methodology throughout. We do not use any spend based proxies.

## At-a-glance [#at-a-glance]



- Supports AWS, Azure and Google Cloud.
- Measures cloud usage at the individual SKU / rate code level.
- Covers 99%+ of typical customer cloud usage.
- Covers energy, carbon and water
- Uses one consistent methodology across supported services.
- Avoids spend-based carbon proxies.
- Covers over 500 AI models, with more added continuously.
- Built on real hardware benchmarking and predictive modelling.
- Maps cloud services to underlying infrastructure.
- Verified against ISO 14064-3 through independent limited assurance.
- Continuously updated as cloud platforms evolve.

- [Cloud Methodology](https://greenpixie.com/docs/methodology/cloud): Read
- [AI Methodology](https://greenpixie.com/docs/methodology/ai): Read
- [Compute Methodology](https://greenpixie.com/docs/methodology/cloud-compute): Read
- [Embodied Emissions Methodology](https://greenpixie.com/docs/methodology/cloud-embodied-emissions): Read
- [Grid and Regions Methodology](https://greenpixie.com/docs/methodology/grid): Read
- [Region Scorecard](https://greenpixie.com/docs/methodology/region-scorecard): Read

## Try the data yourself [#try-the-data-yourself]

To allow everyone to get started with cloud and AI sustainability, we have made our compute data available for free to all. Learn more [here](https://app.greenpixie.com).