Cloud and AI Carbon Emissions: accurate measurement, effective reductions

Tailpipe measures the carbon footprint of your cloud infrastructure and AI workloads — giving you the data to report accurately and reduce effectively.

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Now tracking AI carbon emissions

Measure the environmental impact of your LLM usage across OpenAI, Anthropic, Google Gemini, Mistral, and LangChain. Privacy-first — prompts and responses are never captured.

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from tailpipe_ai import TailpipeAI

tailpipe = TailpipeAI(api_key="tp_your_key")
client = tailpipe.wrap(your_llm_client)
# Telemetry captured automatically

Why Tailpipe?

Recommendations

Actionable insights to reduce your cloud carbon footprint with specific, prioritised recommendations.

Accuracy

Real-time data from your actual cloud usage — not estimates or averages. Methodology verified by independent experts.

Comprehensiveness

Coverage across AWS, Azure, and GCP. Track compute, storage, networking, and now AI workloads in one place.

Transparency

Open methodology aligned with the GHG Protocol and SCI-AI specification. Full auditability for compliance reporting.

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Ready to measure your carbon footprint?

Get started with a free emissions estimate for your cloud infrastructure.

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