Making AI sustainability visible and actionable
GreenEye is a sustainability analytics platform helping businesses monitor, analyze, and reduce the energy consumption and CO₂ emissions of their AI models. As AI adoption skyrockets, these models are becoming increasingly energy-intensive — yet businesses remain blind to the real environmental costs.
Why we built Green Eye
AI infrastructure is one of the fastest-growing contributors to corporate carbon footprints — yet there is almost no tooling to measure or reduce it. The teams deploying these models have zero visibility into their environmental impact.
We built Green Eye because we believe every AI query should be accountable. Not just financially, but environmentally. Our platform gives teams the observability layer they need to make smarter, greener AI decisions.
What we stand for
Radical Transparency
We believe every organization should have complete visibility into the environmental cost of their AI workloads — no guessing, no estimates.
Compliance First
CSRD, GHG Protocol, and ESG frameworks built into the platform from day one — not bolted on as an afterthought.
Optimization Matters
Sustainability and performance are not trade-offs. Leaner prompts mean lower costs, faster responses, and a smaller footprint.
Planet & Profit
We build for organizations that understand reducing environmental impact and growing profitability go hand in hand.
What we do
Track energy consumption
Monitor energy use per AI workload with real-time analytics and historical trending.
Estimate CO₂ emissions
Calculate carbon footprint based on data center location and regional grid intensity via Electricity Maps.
Water footprint tracking
Measure data center cooling water usage per query using industry WUE standards.
Compliance reporting
Generate audit-ready reports for ESG, CSRD, and GHG Protocol compliance with one click.
Prompt optimization
AI-powered rewriting to reduce token usage — same quality output, fraction of the environmental cost.
Cost attribution
Break down AI spend per team, model, and query type to drive accountability.
Ready to start?
Join companies already reducing their AI environmental footprint.