Question: I'm looking for a solution that provides privacy-preserving natural language processing for sensitive data.

For privacy-preserving natural language processing, ClearGPT is a powerful option. It's an enterprise-strength version of generative AI and Large Language Models (LLMs) like ChatGPT, but built for use within an enterprise, not for public consumption. ClearGPT has no data leakage and full control over sensitive data, with role-based access and data governance. It also offers customization and easy integration with existing applications, making it a great option for automating tasks and boosting productivity without sacrificing data privacy.

Another contender is Defog, a platform that lets people run private and secure queries against their own data on their own servers. It uses fine-tuned AI models for results and has strong data privacy controls. Defog integrates with big SQL databases and data warehouses, with features like row-level access control and on-prem hosting, so it's a good option for enterprises that want to automate data queries and analysis without leaking data.

For companies that want to build their own AI systems but with privacy, Signature offers a platform that combines private AI models with existing systems. It includes model training and fine-tuning, data set creation and digital asset management, all while protecting data. That means companies can tap into generative AI for many industries without worrying about data privacy.

Last, ZeroTrusted.ai is designed to protect data privacy when using large language models (LLMs). It offers the LLM Firewall, which keeps prompts anonymous and validates results to prevent data leaks. It's good for companies that handle sensitive data like PII, PHI and PCI, and ZeroTrusted.ai offers different pricing levels for individuals, small teams and large teams.