AI Builders

The guardrail layer for your AI product

Stop your AI from generating things it shouldn't. Emil screens every prompt and response for unsafe content, PII, prompt injection, and off-brand output — point your base URL at Emil and ship.

The problem

  • Your AI can be jailbroken into generating explicit, harmful, or off-brand content that lands on your users and your liability.
  • Users paste sensitive data into your product, putting it in your logs and your AI provider's.
  • You need to prove to enterprise buyers that your AI is safe — with evidence, not promises.

What Emil catches for ai builders

  • Explicit, harmful, and unsafe output (14 safety categories)
  • Prompt-injection and jailbreak attempts
  • PII and secrets in prompts and responses
  • Custom brand and policy rules you define in natural language

Regulations this maps to

  • EU AI Act
  • App-store & platform safety policies
  • Customer DPAs

A content filter reduces regulatory risk but isn't compliance on its own. Review presets with counsel.

Questions

How do I add Emil to my AI product?
Change one line: point your OpenAI-compatible client's base URL at Emil. Every request and response is then screened — no SDK, no middleware. Anthropic-compatible and self-hosted models are supported too.
Can Emil stop my AI generating explicit or unsafe content?
Yes. Emil screens the model's output across 14 safety categories with a deterministic explicit backstop plus a model classifier, and blocks or redacts before the response reaches your user.
Can I define my own rules?
Yes. Beyond the built-in policies, you can write natural-language custom rules — 'never compare us to competitors', 'never give medical advice' — and Emil enforces them on output.
Can I prove the guardrails work?
Emil ships a red-team evaluation harness that scores your policy's catch rate across unsafe categories and reports a false-positive rate — the evidence enterprise buyers and auditors ask for.

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