AI Safety & LLM Content Guardrails
Add a safety layer to your AI chatbots, assistants, and LLM-powered applications. Catch harmful outputs before they reach your users.
Why Supervisor?
Relying on prompt engineering alone for AI safety is like asking the fox to guard the henhouse. Supervisor provides an independent safety layer.
Supervisor
Purpose-built classification models — not just another LLM checking itself
Catches harmful content that slips through system prompts and guardrail instructions
Sub-millisecond latency — won't slow down your AI responses
16+ harm categories with per-category flagging for precise filtering
Independent safety layer — defense in depth, not a single point of failure
Prompt Engineering
LLMs checking their own output — the same model that generates the harm tries to catch it
Jailbreaks and prompt injection bypass instruction-based guardrails
Adds significant latency — a second LLM call doubles response time
Binary safe/unsafe — no granular category breakdown or per-label detail
Inconsistent — the same prompt can produce different safety decisions
Built for AI Applications
Everything you need to add content safety to your AI-powered products
Output Filtering
Screen LLM responses before they reach users. Catch harmful, biased, or inappropriate content.
Input Screening
Screen user inputs for harmful content before they reach your model. Catch abuse, harassment, and policy violations at the gate.
Low Latency
Purpose-built models return results in milliseconds. No impact on your application's response time.
16+ Categories
Detailed per-category results across harassment, hate speech, self-harm, violence, and more.
Simple API
One REST endpoint. Send text, get a moderation decision. Integrates in minutes.
Context Analysis
Evaluate conversations in context, not just individual messages. Catches subtle escalation.