Vantage RuntimeAI · Solutions
Model selection & spend
Scorecard-driven model selection plus line-item forecasts for eval, monitoring, and production inference — built for finance, procurement, and engineering leads approving agent spend.
Three numbers stakeholders approve
RuntimeAI separates platform eval spend from production inference at your provider.
Before release
Evaluation forecast
Batch check-rides on RuntimeAI Cloud — subscription, eval runs, and inference pass-through with scorecard-driven model picks.
Plan a batch →
After release
Monitoring cadence
Re-certification when prompts and models drift — deploy-triggered CI gates plus scheduled sweeps.
Size monitoring →
Your provider
Production inference
Unit economics at OpenRouter, Anthropic, or Azure — sized for OPEX, not billed by RuntimeAI.
Compare candidates →
Built for approval workflows
Primary tool
Cost Forecast
Interactive planner with rubric presets, monthly cadence defaults by agent type, and PDF export for CFO packages.
Open forecast →
Evidence
Models & scorecards
Benchmark scores and efficiency rankings — pick the cheapest model that passes your rubric.
Browse models →
Line items
Pricing
Starter includes eval runs; inference is pass-through. No surprise markup during early access.
See pricing →
Model the agents you run in production
Cost Forecast defaults use library scenarios — swap in custom check-rides that mirror your production agent before you present numbers to finance.
For search engines and LLMs
RuntimeAI model selection and evaluation: Cost Forecast, scorecards, monitoring cadence, CFO PDF export.