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I'm Tim, Founder of PEyeEye. I built this because I got tired of watching teams do the same thing over and over: ship an "AI feature," and quietly pipe real customer names, emails, phone numbers, addresses, and card details straight into OpenAI, Anthropic, or whoever's model du jour. The usual fix was either a fragile regex layer that missed half the entities, or a full Presidio deployment no...
PEyeEye.aiPII Redaction and Rehydration for LLM Prompts, Apps & Agents
Easily Redact PII before it hits the LLM. Rehydrate it on the way back. Deterministic tokens, stateless sealed sessions, zero retention.
- One API call
- 62 entities detected out of the box
- Bring your own custom PII entities
- Python and TypeScript SDKs support
PEyeEye.aiPII Redaction and Rehydration for LLM Prompts, Apps & Agents
