Vantage RuntimeAI
Real scenario stress-testing for autonomous agent pipelines. Run multi-model evaluation sweeps against deterministic heuristic rubrics. Built for engineering teams whose custom eval repository has outgrown the product itself.
Agents fail differently than static code blocks. RuntimeAI ships with pre-built, multi-turn conversational templates mapping directly to real failure vectors—including escalation handling, boundary-setting, tool-use calibration, and recovery from prior errors.
Stop burning API budgets on an expensive LLM judging another LLM. Our engine evaluates transcripts using repeatable keyword and structural heuristics, outputting auditable performance bands alongside phrase highlights for rapid debugging.
Built for the exact moment you cannot justify another month of maintenance on homegrown eval scripts. Link parallel agent runs by comparison IDs to immediately evaluate how a prompt change or model upgrade affects operational compliance before deploying to production.
A continuous behavior evaluation platform for production-grade AI agents. We provide non-engineering stakeholders with human-readable scorecards without forcing engineers to translate raw text traces or JSON strings.
An LLM observability tool (we do not replace distributed trace loggers like LangSmith or Datadog), an API model gateway, or a passive “test once” static certification tool.
