AI Cost Optimization
Cut your AI inference bill by moving work to cheaper models that pass your own quality tests — without sending your data anywhere it shouldn't go.
Most companies overpay for AI because every request goes to the most expensive model, whether it needs one or not. Classification, extraction, summaries, and support replies rarely need a frontier model, and capable open models now cost a fraction as much per token.
We start with a two-week audit: your spend broken down by feature and model, your real prompts re-run on cheaper models and scored side by side, and a clear map of where your data goes today. Then we ship the savings into your stack — model routing, prompt caching, batch pricing, and right-sized models — with quality gates so nothing regresses.
After launch, we keep you on the cheapest model that passes your tests as new models are released. Pay a fixed fee, or pay from verified savings.
