Vantage RuntimeAI · Solutions
Model selection & spend
Scorecard-driven model selection plus line-item forecasts for eval, monitoring, and production inference — unit economics beside the continuous ship gate, not a FinOps dashboard.
Three numbers stakeholders approve
RuntimeAI separates platform eval spend from production inference at your provider.
Before release
Evaluation forecast
Batch scenarios 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 scenarios 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.