nilGPT
nilGPT is a privacy-focused AI chat companion that emphasizes secure, anonymized interaction. It claims that all data is handled with “data private by default”, your chat inputs are split and stored across multiple nilDB nodes, and AI models run inside secure enclaves, so your data isn’t centrally exposed. nilGPT offers specialized conversation modes (such as wellness, personal assistant, companion) to adapt to different use cases. It positions itself as a place where users can “talk freely” about sensitive thoughts or personal topics without fear of log retention or surveillance. It provides both a browser chat interface and app access, with options to sign in or chat anonymously. According to its GitHub repo, nilGPT is built using “SecretLLM + SecretVaults” and is open source under the MIT license.
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Duck.ai
Duck.ai is DuckDuckGo's AI-powered chatbot, integrated seamlessly into their search engine to deliver privacy-focused conversational answers. It leverages advanced machine learning algorithms to provide quick, accurate, and contextually relevant responses across a broad range of topics. The chatbot is designed to be a helpful tool for users seeking instant information, but it stands out by ensuring that no personal data is collected, stored, or tracked. By aligning with DuckDuckGo's commitment to user privacy, Duck.ai offers a secure way for users to engage with AI without compromising their anonymity or data security.
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Questa AI
Questa AI is a privacy-focused platform that enables organizations to safely analyze sensitive data using any large language model of their choice. It works by locally anonymizing documents through a proprietary NLP-based redaction system before any AI processing occurs. Users can upload Word, PDF, or Excel files, redact confidential information, and then generate insights or analytical reports securely. The platform allows businesses to chat with its assistant, Novara, or run custom and pre-built report templates across finance, sales, marketing, and operations. Because data is anonymized before analysis, it prevents AI providers from training on sensitive information. Questa supports both cloud deployments for small teams and self-hosted enterprise installations for full infrastructure control. By combining anonymization, analysis, and workflow automation, it helps organizations extract value from data without compromising security or compliance.
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NVIDIA Confidential Computing
NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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