The product provides a validation harness for AI agent workflows, including scenario tests, tool-call tracing, data-grounding checks, regression suites, and failure analysis for real enterprise data tasks. Teams can plug in OpenAI, Anthropic, Vertex AI, MCP servers, RAG pipelines, and multi-agent workflows to identify where agents hallucinate, misuse tools, fail handoffs, or degrade after prompt/model changes.

Multiple companies now need LLM agents embedded directly into products, platforms, IT systems, security workflows, and customer-facing proofs of concept. As agentic workflows move from experiments to production, buyers need reliability tooling instead of relying solely on scarce forward-deployed AI engineers.