Five capabilities. One control plane.

See what every workload actually costs.

Metergrade connects to the AI infrastructure you already run and establishes a workload-level economic baseline: applications, models, departments, latency, tokens, cost.

Nothing new sits in your request path. Telemetry comes from the gateway your platform team already operates.

Every workload metered

Find the configurations that waste money.

Metergrade detects inefficient model choices, excessive context, output waste, retries, caching opportunities and routing issues across the estate.

Every finding is tied to a specific workload and a measured delta, not a general recommendation.

Inefficiency, located

Every competitor can show you a number. Metergrade returns a verdict.

Each proposed change is tested against your own quality, latency and reliability requirements before anything moves.

The result is PASS, FAIL or INCONCLUSIVE. If the evidence is not sufficient, Metergrade says so.

Proven in shadow, then deployed

Ship the change through the controls you already trust.

Validated improvements become deployment-ready APIM policy: routing and retry configuration your gateway already understands.

Changes deploy through your existing pipeline and your existing approvals. Metergrade produces the artifact; your controls remain the gate.

Shipped through your gate

Evidence outlives the change.

Every figure Metergrade reports stays tied to what produced it: the price book, the observed window, the telemetry hash. Measured, projected, validated and deployed never blur into one number.

Nothing is reported as verified that has not been. The evidence is retained.

Drift detected, held to standard