Cloud and AI carbon, energy and water data, supplied as a feed your platform can ingest.
Enterprise RFPs increasingly require carbon by service, region and business unit.
Customers expect 95%+ coverage of the cloud and AI services they use. Building a credible methodology in-house was calculated to take a full team 12 to 24 months, not including maintenance. Greenpixie's partner API supplies it so your platform can focus on what it does best.
Around 10 million SKUs, with roughly 110,000 new ones absorbed every month so your data stays current. Carbon, energy and water columns appended to the cost and usage data your customers already process.
What's in the data feed
📐 Line-item granularity matching customer cost data
🔬 Bottom-up modelling with citable factor sources
🔄 Continuously maintained, factor updates handled by Greenpixie
📦 Parquet, CSV or gzip output, with API access for lighter queries
Connect to Greenpixie's API and get carbon, energy and water metrics for every SKU your customers run. Integrate them into the dashboards, visualisations and recommendations you already serve.
Your customers get more value, and your platform gets a differentiator competitors cannot yet match.
Cost and carbon, for cloud and AI, in one data layer.
AI cost management is the #1 forward-looking priority for FinOps teams in 2026. Sustainability is now scored in most multinational enterprise FinOps RFPs. Greenpixie covers both with FOCUS-compatible, ISO 14064-certified SKU-level data across cloud and AI infrastructure, plugging into your existing allocation, showback and optimisation surfaces.
Move your cloud and AI emissions from spend-based to activity-based.
Cloud and AI emissions have gone from an immaterial line item where spend-based estimates sufficed to one of the fastest-growing emissions areas in enterprise Scope 3. Granular, activity-based data is now critical for credibility with assurance providers. Greenpixie supplies it at the SKU level across cloud and AI infrastructure, ISO 14064-verified with factor versioning, citable sources and a full audit trail, and validated by enterprise customers against their own on-premise measurements.
Energy and carbon by utilisation, for cloud and AI.
Energy and carbon are becoming key performance metrics for cloud and AI. Customers want them at the same granularity as the utilisation telemetry your platform already collects. Hyperscalers do not supply this. Only Greenpixie has the coverage and granularity to match observability telemetry, with energy by utilisation across GPU, CPU, storage and memory, plus token-level data for AI models on all major cloud providers.
.jpg&w=3840&q=75)
Director, Cloud Transformation & Certified FinOps Practitioner, NTT Data, Inc.
“The methodology strikes the right balance between scientific rigour and enterprise usability… giving organisations a credible way to understand and optimise the sustainability impact of AI.”
Senior Manager, Product, Flexera
“Having been involved in the Sustainable AI Working Group and seen the methodology up close, it's clear Greenpixie are setting the gold standard for how enterprises can measure the energy, carbon and water impact of AI workloads.”
.png&w=3840&q=75)
Domain Expert (CIO office) - Sustainable IT, ABN AMRO Bank N.V.
“I am enthusiastic and confident in the approach that Greenpixie has taken.”
Greenpixie integrates with major FinOps platforms today, including Flexera, Apptio and Umbrella. Talk to our partnerships team about the data feed, the integration path and the commercial model.