ML Mind · AI FinOps
LLM Gateway Cost Control
When ML Mind sits in the request path, it can reduce waste in real time rather than only reporting it after the fact.
Plan a gateway rolloutWhy this matters
What the gateway sees
The gateway can see the request, context, retrieved chunks, model selected, answer, tokens, latency, errors, verification result and fallback decisions.
What the gateway controls
It can choose smaller models, block duplicate retries, reuse verified cache, escalate sensitive tasks and measure integrity-adjusted savings.
Why this matters
The strongest savings usually appear when control happens before and after the model, not only inside monthly cost reports.
Where ML Mind creates savings
Token reductionRAG chunk selectionRetry preventionModel routingVerified cachingSmart fallbackGPU serving optimizationTraining cost control