64% → 71% on T-Bench 2.1 — with the same model.See the research →
arize alternative·updated oct 2026

failproof vs arize

the arize alternative for teams that need agent-runtime reliability and enforcement, not just ML-grade model evaluation.

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Failproof AI

End-to-end reliability for AI agents. Traces every run at the agent runtime, scores every finished session in the cloud with code checks, LLM judges and the eval set you already have (DeepEval, Ragas, promptfoo or your own), brought in as it is, finds where agents fail on its own, and lets you author and enforce a policy that stops the bad action in realtime - deployed on-prem or in the cloud.

Arize

ML-grade LLM observability. OpenTelemetry-native tracing, evals, and drift/embedding analysis (open-source Phoenix). Built to measure model quality.

capabilityFailproof AIArize
Built forAI agentsLLM & ML
Agent-level tracingAgent runtime, deeperModel-level (OTel)
Autonomous failure findingAutomaticEvals + drift, you configure
Policy authoringYesNo
Realtime policy enforcementYes, realtimeNo
Drift & embedding analysisNoYes
Prompt management & eval datasetsNoYes
DeploymentLocal, on-prem, cloudPhoenix self-host / cloud

Choose Failproof AI when

  • you run high-impact autonomous agents that take real actions
  • a wrong action is costly or irreversible
  • you need to stop failures at runtime, not just trace them
  • you want an end-to-end reliability solution, on-prem or cloud

Choose Arize when

  • you need ML-grade evals, drift, and embedding analysis
  • you want OpenTelemetry-native, portable traces
  • measuring model quality is your main goal

FAQ

Does Arize enforce policies at runtime?

No - Arize and Phoenix trace and evaluate, including online evals, but a score is a measurement, not an intervention. Failproof AI finds failures autonomously and enforces at the agent runtime, so a bad action is stopped, not just scored.

Arize vs Failproof AI?

Arize measures model quality (ML-grade evals, drift); Failproof AI delivers agent-runtime reliability, autonomous failure finding, and enforcement. Because Phoenix is OpenTelemetry-native, the two sit side by side cleanly.

Can I use both?

Yes - evaluate in Arize, enforce with Failproof AI.

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