Enterprise AI efficiency,
continuously measured.
Metergrade identifies inefficient AI workloads, validates better configurations against your quality requirements, and turns proven improvements into deployment-ready cloud policies.
31.8% lower inference cost. Quality remained inside threshold.
Seven workloads are operating above their validated cost range.
Test the change before you deploy it.
Observe
Connects to your existing AI infrastructure and establishes a workload-level economic baseline.
Analyze
Detects inefficient model choices, excessive context, output waste, retries and routing issues.
Validate
Tests proposed changes against your own quality, latency and reliability requirements.
PASS, FAIL or INCONCLUSIVE. Never a blind recommendation.
Deploy
Turns validated improvements into cloud-native configuration: APIM policies, Bicep, Terraform.
Govern
Continuously measures cost, quality, drift, policy compliance and realized savings.
Works with the estate you already own.
Metergrade extends Azure API Management and the Azure AI stack. Telemetry flows in, validated configuration flows back. Nothing new sits in your request path.
What grade is your AI infrastructure operating at?
Every workload in your estate is operating at some grade right now. Most organizations cannot state it. A Metergrade assessment establishes the baseline across six dimensions and returns an evidence file, not a slide.
Runs on the Azure estate you already own.
Metergrade extends Azure API Management with workload economics, quality-validated optimization and continuous efficiency governance.