Monte Carlo launched Agent Observability for end-to-end visibility across the data and AI stack, adding LLM-as-judge and deterministic evaluations of agent outputs with telemetry kept in the customer environment, BusinessWire reported on 9 September 2025.
Data-observability vendors are extending from pipeline reliability into agent output evaluation. Buyers still need proof that judges catch their failure modes and that telemetry residency meets policy.
Monte Carlo sells data plus AI reliability. The release named customers including NASDAQ, Honeywell, Roche and Fox.
Data platform owners should demand eval coverage on their critical agent paths — before treating any observability launch as a completed reliable-AI programme.