Cloud GreenOps Solutions

Cost and Carbon Efficiency in Enterprise AI and Cloud

Greenpixie is the trusted source of GreenOps data for AI-first organisations. Bring technology and sustainability together to unlock responsible growth in cloud and AI.

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Consistent multi-cloud methodology

Track emissions across AWS, Azure and GCP, like for like.

AWS61%

Azure25%

GCP14%

3,518 mtCO2e combined

Total carbon

3,518mtCOe

Total electricity

15.19MkWh

Total water

2.56ML

Carbon per dollar

11.2gCOe/$

Identify Top emitting cloud regions

us-east-1us-west-2eu-west-1ap-southeast-2

Find your Top emitting business units

Platform

52.8

Data & Analytics

41.2

AI Research

28.5

Carbon as a currency

Take action with sustainability data that's granular enough for your FinOps practice. Put carbon alongside cost in allocation, recommendations, budgeting, forecasting and gamification.

#Business unit LeaderTrendmtCO2e

Compliance & AuditR. Holm Head of Compliance

8%9.7

Mobile AppsN. Acharya VP Mobile

7%12.4

Identity & AccessL. Becker Director, Security

1%14.6

Internal ToolsT. Reilly Engineering Ops

12%19.8

AI ResearchP. Patel Head of AI

92%13.5

Full visibility over AI usage

Understand, compare, and optimise AI usage across your cloud estate, reducing cost, carbon, energy and water as you scale.

AI carbon

13.1mtCOe

AI water

167,692L

AI electricity

31,857kWh

AI spend

$272,756

Impact by token type

Input (uncached)

Input (cached)

Output

Impact by model

GPT-4.1

1,157

864

GPT-4o

230

GPT-4o Mini

GPT-4.1 Nano

GreenOps Training & Certification

Get certified in the sustainable cloud operating model with our GreenOps Academy - and understand the business case for sustainability in cloud and AI.

Definition of GreenOps
The GreenOps Flywheel
Finding the right data
GreenOps Advocacy

[Cloud Sustainability Fundamentals, Cloud GreenOps Philosopher, GreenOps for AI certifications]

4.82out of 5(695 reviews)

"This course is outstanding! I love how it explains complex concepts in simple terms, making it accessible for everyone.
Highly recommended!"

[Tetiana Fedriko]

Tetiana FedrikoPrincipal FinOps Architect, NatWest

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Decision-making tools

Run "what-if" scenarios on your cloud and AI decisions - and model their impact at the planning stage.

Current

m6a.8xlarge

us-east-1 io2

Carbon7,260 kg

Cost$4,116

Proposed

c7g.xlarge

eu-north-1 gp3

Carbon2,714 kg

Cost$1,799

Right-sized saving / year$2,3174,546 kg COe

Available via API

Automate your cloud and AI emissions data, and plug it directly into your FinOps and BI workflows.

Call our API

Flow into your BI tool

Visualise for your team

Sample API response

{
  "sku": "JFMHJK32Z5JP9WMH",
  "instance_type": "m7gd.xlarge",
  "region": "eu-west-1",
  "pricing_unit": "Hours",
  "kwh_per_pricing_unit": 0.00898093,
  "total_tonnes_co2e_per_pricing_unit": 0.00000383069,
  "total_water_litres_per_pricing_unit": 0.01498652,
  "line_item_usage_type": "EU-BoxUsage:m7gd.xlarge"
  // refreshed hourly, ISO 14064-aligned
}

I want to

Pick a goal to see how Greenpixie helps.

Improve Scope 3 reporting on cloud emissionsTake action to decarbonize cloud and AI nowIncrease cloud savings (GreenOps driving FinOps)Start a cloud and AI sustainability conversationScale AI responsiblyQuantify sustainability win from my FinOps workExecute a cloud migration sustainablyUpskill myself on cloud GreenOpsUpskill my team on cloud GreenOpsManage AI sustainability & governance in ServiceNowMake carbon-aware PRsOffer my customers Cloud/AI Sustainability data within my Platform

Improve Scope 3 reporting on cloud emissions

Greenpixie covers all cloud services across AWS, Azure and GCP.

But the granularity goes a lot deeper than service-level. Emissions can be reported at account-level, product-level, business unit-level, geographic location, account owner and by any other configuration your tagging supports.

Refreshed hourly, location-based, Scope 3 inclusive, and ISO 14064-verified, GPX Data can be delivered via API or processed by Greenpixie and delivered as an enriched Cloud Billing Report.

This raw data approach ensures compatibility with your data lake and seamless integration into Power BI, QuickSight, Tableau or whichever FinOps tool you already use.

Book a call about this use case

Sustainability data must be granular and relevant. Greenpixie's methodology provides the detail and scalable direction that the market needs.

[Pietro Bertazzi]Pietro BertazziChief Policy and Projects Officer, CDP

Improve Scope 3 reporting on cloud emissions

Take action to decarbonize cloud and AI now

Increase cloud savings (GreenOps driving FinOps)

Start a cloud and AI sustainability conversation

Scale AI responsibly

Quantify sustainability win from my FinOps work

Execute a cloud migration sustainably

Upskill myself on cloud GreenOps

Upskill my team on cloud GreenOps

Manage AI sustainability & governance in ServiceNow

Make carbon-aware PRs

Offer my customers Cloud/AI Sustainability data within my Platform

Data intelligence you can trust

Methodology for auditable reporting and informed action

When emissions data informs business decisions, it needs to stand up to scrutiny. Unlike approaches that estimate emissions using spend-based proxies, Greenpixie models emissions from actual cloud usage data across AWS, Microsoft Azure, and Google Cloud. With coverage spanning every cloud service, you get a complete and defensible view of your cloud and AI footprint.

The result is emissions intelligence you can trust to:

Understand where emissions are coming from
Identify the highest-impact opportunities for reduction
Make infrastructure decisions using accurate, location-specific carbon data
Report with confidence using transparent, auditable methodology

Our methodology is independently assured, academically reviewed, and aligned with the GHG Protocol and ISO 14064 standards. The cloud emissions measurement methodology has also received Limited Assurance Verification against agreed-upon procedures under ISO 14064-3 Annex C.

I've worked with a lot of GreenOps data sources, and the Greenpixie methodology stands head and shoulders above other approaches with its exceptional transparency and profound understanding of the complex realm of cloud carbon emissions reporting.

[Mark Butcher]Mark ButcherGreenOps Expert, Posetiv

Cost and Carbon Efficiency in Enterprise AI and Cloud

Impact by token type

Impact by model

I want to

Improve Scope 3 reporting on cloud emissions

Methodology for auditable reporting and informed action

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