Fiddler is built for enterprises that need one platform to observe, evaluate, and enforce policy across every agent, first-party, third-party, and coding, from the moment code is written through production. Four things set it apart.
First, Fiddler is the only platform spanning both the creation layer, where coding agents write code, and the production layer, where agents run in the business, so governance doesn't stop at deployment.
Second, Fiddler Guardrails enforce policy inline, at the agent's request and response path, in under 80ms, so violations are stopped before data ever leaves your network, not flagged after the fact.
Third, Fiddler Centor Models run in your own environment, eliminating the Evaluation Trust Tax that competitors pass on to you through external LLM API calls for every evaluation.
Fourth, Fiddler is model- and cloud-agnostic, working across Azure OpenAI, Amazon Bedrock, LangGraph, and 100+ other providers, so you're not locked into one vendor's ecosystem the way hyperscaler-native tools are.
When evaluating any AI observability platform, ask whether it enforces policy in real time or only monitors after the fact, whether it covers both the creation and production layers, and whether you're paying an external LLM provider every time it evaluates a trace.