Model selection audit
Are you running every request through the most expensive model when a cheaper one would do? We map every AI call to the right model for the task. Same quality bar, smaller bill.
Service
AI cost optimization.
Spending more on AI than you are getting back? We audit model selection, inference costs, token usage, and infrastructure. Then we cut the waste without giving up output quality.
Token usage optimization
Prompt structure, context-window management, and caching strategies that reduce token consumption without losing output quality, so the monthly API bill drops without touching the product.
Infrastructure review
GPU allocation, batch processing, auto-scaling, and provider comparison. We find the infrastructure waste internal teams miss because they are too close to the setup they built.
Ongoing cost monitoring
Dashboards and alerts that catch cost spikes before they hit the invoice. Spend visibility broken down by model, by feature, by team.
30-minute call. Fixed-price scope before any work begins.
Understand. Reason. Empower.