Metergrade for Azure

Continuous AI efficiency for the Azure estate.

Metergrade extends Azure API Management and Azure AI infrastructure with workload economics, quality-validated optimization and continuous efficiency governance.

Reference architecture

Beside the request path. Never in it.

Applications keep calling Azure API Management. APIM keeps routing to Azure OpenAI, Azure AI Foundry and your other endpoints. Metergrade consumes the telemetry and returns validated configuration — it adds no hop, no proxy and no new gateway.

APPLICATIONSAZURE API MANAGEMENTAZURE OPENAIAZURE AI FOUNDRYOTHER ENDPOINTSTELEMETRYAPIM POLICIES · BICEP · TERRAFORMMETERGRADEOBSERVEANALYZEVALIDATEDEPLOYGOVERN
Interface

What Metergrade consumes, and what it emits.

The integration surface is deliberately narrow. Telemetry your gateway already produces flows in; deployment-ready artifacts flow back out through your existing pipeline.

Consumes

  • APIM TELEMETRY · REQUESTS, TOKENS, LATENCY
  • MODEL AND DEPLOYMENT METADATA
  • CALLER, APPLICATION AND DEPARTMENT CONTEXT
  • YOUR QUALITY, LATENCY AND RELIABILITY THRESHOLDS

Emits

  • APIM POLICIES · VALIDATED, VERSIONED
  • BICEP MODULES
  • TERRAFORM CONFIGURATION
  • EVIDENCE FILES · MG / VERIFIED

Metergrade extends Azure API Management — it never replaces it. Traffic continues to flow through the gateway your platform team already governs, under the access controls and approvals you already enforce.

Operating loop

Measured on Azure, validated against your thresholds, deployed through your controls.

Metergrade establishes the economic baseline from APIM telemetry, identifies inefficient configurations across Azure OpenAI and Azure AI Foundry deployments, validates each candidate change against your own requirements, and emits the change as configuration your team reviews and ships.

TELEMETRY IN · VERDICT RENDERED · POLICY OUT · SAVINGS MEASURED

Establish the baseline for your Azure AI estate.