Greenpixie

Founded by John Ridd & William Tinney in 2020

Track carbon emissions and energy usage across AWS, Azure, and GCP

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Greenpixie to measure and report greenhouse gas emissions from your cloud infrastructure across AWS, Azure, and GCP. It pulls actual usage data (not spend-based estimates) to give you hourly, location-specific carbon, electricity, and water metrics. You can allocate emissions by business unit, account, or product, run what-if scenarios to compare infrastructure options, track AI model usage by carbon cost, and feed emissions data into FinOps tools via API or enriched billing reports. Methodology is ISO 14064-verified and GHG Protocol-aligned.

What Greenpixie does

Pull hourly cloud emissions data via API into existing BI workflowsAllocate carbon metrics by business unit, account owner, or product tagCompare before-and-after carbon footprint of infrastructure rightsizingModel carbon and cost impact of switching cloud regions or compute familiesTrack water and electricity consumption alongside carbon for AI workloadsGenerate ISO 14064-aligned emissions reports for auditorsSet up carbon budgets and forecasts alongside financial budgetsEnrich cloud billing reports with emissions data for FinOps teamsTracks emissions from actual cloud usage data, not spend-based estimatesCovers every service across AWS, Azure, and GCP with consistent methodologyBreaks down emissions by business unit, account, product, or custom tagsTracks AI model usage by carbon, water, electricity, and cost per tokenAPI delivers hourly emissions data directly into FinOps or BI toolsWhat-if scenario modeler compares carbon and cost impact of infrastructure changes before you make themISO 14064-verified and GHG Protocol-aligned, with independent assuranceGreenOps Academy with certification training for teams