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PrivateGPT

PrivateGPT AI Agent
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Overview

Private AI's privacy layer for ChatGPT: redacts PII from prompts before sending to OpenAI and re-identifies it in responses.

PrivateGPT by Private AI is a commercial privacy layer for ChatGPT and other LLMs. It detects and redacts 50+ types of personally identifiable information from user prompts before they are sent to third-party models, then re-identifies the data in responses for a seamless experience. Available as a chatbot interface or headless API for developers. Note: this is distinct from the open-source "PrivateGPT" project at github.com/zylon-ai/private-gpt.

Product overview

Capabilities, pricing and fit

The current link resolves to Limina, a privacy and de-identification product for PII, PHI, and PCI. This source does not verify the older standalone PrivateGPT chatbot positioning.

Information as of July 30, 2026

What it can do

  • Workflow infrastructure

    The former PrivateGPT URL now resolves to Limina, which identifies, redacts, and replaces sensitive data across text workflows.[1]

Where it fits best

  • De-identifying sensitive information before data enters downstream AI or analytics workflows.[1]
Important considerations
  • The linked identity and product scope have changed; historical PrivateGPT chatbot claims require a separate source.[1]
Sources (1)
  1. Limina | Identify, Redact & Replace PIIOfficial site · checked 2026-07-30

Autonomy level

89/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: PrivateGPT demonstrates high autonomy due to its ability to operate locally on enterprise servers with no external data transmission, ensuring full data control. It integrates with existing authentication systems (Kerberos, SAML, OIDC) and supports offline document processing via embedded models like LlamaCPP. However, its autonomy is partially dep...

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Some of the use cases of PrivateGPT:

  • Using ChatGPT-style assistants without exposing PII to third-party models.
  • Redacting sensitive data in prompts via API or chatbot interface.
  • Adding a privacy layer to LLM workflows in regulated industries.

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Popularity level: 82%

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