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.

Get Started Our Methodology

Now tracking AI carbon emissions

Route your LLM traffic through Tailpipe's API gateway. No code changes, no SDK — just change your base URL. Supports OpenAI, Anthropic, Gemini, and Mistral. Privacy-first — prompts and responses are never captured.

Learn More

from openai import OpenAI

# Point to Tailpipe — zero other changes
client = OpenAI(
    base_url="https://gateway.tailpipe.ai/openai/v1"
)
# 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.

Partnered With

Understanding Cloud Carbon Measurement

Ready to measure your cloud carbon footprint?

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

Get Started Contact Us