AI's footprint goes unmeasured. We fix that.
Get a real, defensible number for AI's environmental footprint — not a guess. cortave ties usage data to the same attribution model used for cost, giving you a real foundation for sustainability reporting as deployment data matures.
From every AI request to a footprint you can report.
Cortave turns the operational data behind AI usage into an auditable sustainability signal — using the same attribution model that powers cost reporting.
The receipt for the other four pillars done right.
Most enterprises have no way to measure or report AI's environmental footprint. Boards are asking. Procurement teams field RFP questions about it with no real data behind the answer.
Compute waste compounds structurally: every new model or workflow added multiplies whatever redundancy already exists.
"Get observability, governance, context, and cost under control, and the footprint shrinks alongside them — because cortave ties usage data to the same attribution model used for cost."
The figure is directional today, and we'll say so until it's validated.
Usage-Based Footprint Data
Ties directly to the same attribution model used for cost — no second system required.
Fewer Wasted Prompts
Every duplicate query eliminated is inference that never had to run.
Lower Footprint At Scale
Efficient routing means the same output for less energy, measured across every deployment.
ESG-Ready Reporting
Real usage data, sturdier than a rough estimate, as validated figures come online.
cortave speaks the language of every stakeholder.
A real answer to sustainability RFP questions instead of a guess.
AI's footprint measured and reported with the same rigor as any other infrastructure cost.
One number that serves both the cost report and the sustainability report.