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.
NeMo Guardrails
NVIDIA open-source toolkit for programmable guardrails on conversational LLM apps - topical, safety, and dialog rails defined in Colang, wrapped around the model.
| capability | Failproof AI | NeMo Guardrails |
|---|---|---|
| Built for | AI agents | Conversational LLM apps |
| Agent-level tracing | Agent runtime, deeper | No |
| Autonomous failure finding | Automatic | No |
| Policy authoring | Yes (JavaScript) | Colang rails |
| Realtime policy enforcement | Yes, realtime | On dialog / LLM I/O |
| Enforcement scope | Agent actions | Conversation / model I/O |
| Deployment | Local, on-prem, cloud | Self-host (library) |
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 NeMo Guardrails when
- you are building conversational bots that need topical or safety rails
- you want programmable dialog guardrails in Colang
- your surface is the chat, not autonomous agent actions
FAQ
Does NeMo Guardrails work for autonomous agents?
It is built for conversational rails on the dialog and LLM I/O. Failproof AI governs autonomous agents at the runtime - the tool calls and actions - and finds failure modes on its own.
NeMo Guardrails vs Failproof AI?
Dialog/content rails vs agent-runtime reliability. NeMo guards the conversation; Failproof AI traces the agent run, finds failures, and enforces policy on actions.
Can I use both?
Yes - rails on the conversation with NeMo, enforcement on the agent with Failproof AI.