Reduce AI waste.
Keep the outcome.
A provider-aware optimization layer for the AI services you already use. Remove unnecessary input, preserve critical facts and constraints, and measure the result with evidence—not assumptions.
Optimization you can quantify.
We separate measured provider evidence, priced savings and enterprise projections so the value story remains auditable rather than theoretical.
One efficiency layer between your agent and AI.
Use MMTNEXUS as a gateway in front of your provider, or call the optimizer as a sidecar and keep your existing provider integration unchanged.
Prompt, history, RAG context, workflows and customer instructions.
Context compaction, evidence protection, provider-aware optimization and savings measurement.
Send fewer unnecessary input tokens while retaining the task, literals and governed constraints.
Evidence-preserving optimization
Critical literals, identifiers, amounts, dates and required constraints stay protected through the optimization path.
Customer-owned provider keys
Use your own provider credentials. MMTNEXUS customer keys identify tenant usage separately from provider authentication.
One MMTNEXUS account
Registration, sign-in and organization identity come from the same MMTNEXUS account used across the portfolio. Your Token Optimizer usage remains tenant-isolated.
One optimization layer. Multiple AI providers.
Integrate with the providers your team already uses, without tying your efficiency strategy to a single model vendor.
Translate token reduction into money.
This calculator uses the certified OpenAI text result of 17.91% and the current $4.00/M input-price snapshot. It is a projection, not a customer invoice.
Make AI efficiency measurable.
Use your MMTNEXUS account, connect your agent and start tracking the value of every optimized request.