Primary outcome
A–E efficiency score
Turn measured energy and model specs into an A–E grade teams can use for governance and comparison.
Back to product overview
GAISSA Label
A buyer-run energy-efficiency labeling tool for an ML model’s training or inference. Measure energy and related metrics on your infrastructure, report model specs, and receive an A–E efficiency score with a visual energy label — built for governance and same-context comparison.
Where it runs
Your infrastructure
You measure energy where the model runs, so the score reflects your own environment.
What you get
Visual energy label
A clear energy label with the overall grade, phase, and per-metric breakdown — not a separate ROI product.
Labeling walkthrough
See how labeling works
Walk the buyer-run path: measure on your infrastructure, report specs, receive an A–E efficiency score, and produce an energy label for governance and comparison.
Measure
Measure energy on your infrastructure
Collect energy and related metrics where the model actually runs — on your own systems — so the score reflects your environment.
- You measure on your own hardware and tooling
- Training or inference runs as the labeled subject
- Optional context such as hardware or region stays out of the score
Sample demo · not a certified score · for comparison within the same measurement context
What you get
Efficiency evidence that governance can use
GAISSA Label packages buyer-supplied measurements into an A–E score and energy label so teams can compare models under a shared measurement context — and share the artifact when communication matters.
Measure where the model runs
Collect energy and related metrics on your own infrastructure for training or inference — the labeled subject is the ML model run, not a SaaS product badge.
Report specs and scored metrics
Enter model details and metric values (or upload measurement files). Optional context such as hardware or region supports review without changing the score.
Assign an A–E efficiency score
GAISSA Label turns your reported metrics into an A–E efficiency score teams can use for same-context comparison and governance.
Where it fits
Best for teams who need comparable efficiency evidence
- Teams that need a consistent format to compare model efficiency inside their own measurement process
- Governance and ops partners who need an energy label artifact beyond raw benchmarks
- Organizations that want a shareable energy label for governance without implying a legal cert process
Related offers
Other GAISSA products
Each product stands alone. Explore Optimization Selector when pipeline strategy is the buying trigger, or API Monitoring when provider spend visibility comes first.