Failproof AI
End-to-end reliability for AI agents. Traces every run at the agent runtime, 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.
Galileo
AI observability and evaluation with real-time guardrails. Deep LLM evals (Luna models) and content guardrails on model inputs and outputs - runtime protection is an Enterprise-tier feature.
| capability | Failproof AI | Galileo |
|---|---|---|
| Built for | AI agents | LLM apps |
| Agent-level tracing | Agent runtime, deeper | Model + eval level |
| Autonomous failure finding | Automatic | Evals you configure |
| Policy authoring | Yes | Guardrail config |
| Realtime policy enforcement | Yes, realtime | Enterprise tier only |
| Enforcement scope | Agent actions | Model inputs & outputs |
| Prompt management & eval datasets | No | Yes |
| Deployment | Local, on-prem, cloud | Cloud (Enterprise VPC) |
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 Galileo when
- you need deep LLM evals and metrics (Luna models)
- you want content guardrails on model inputs and outputs
- you are on, or ready for, an Enterprise plan
FAQ
Does Galileo have real-time guardrails?
Yes, but they run on LLM inputs and outputs and are gated to the Enterprise tier. Failproof AI enforces on agent actions - tool calls, commands - at the runtime, the layer where the costly failures actually happen.
Galileo vs Failproof AI - the core difference?
Surface and packaging. Galileo guards model I/O (hallucination, PII, safety) and gates runtime protection to Enterprise. Failproof AI finds failures autonomously and enforces policy on agent actions at the runtime, on-prem or cloud.
Can I use both?
Yes - evaluate in Galileo, enforce agent actions with Failproof AI.