Results for: myfp2esp32-user-guide-306_02.pdf

...Fully auditable code on GitHub - Use it with ollama to chat with your local models fully offline Perfect for privacy-conscious users who want powerful AI assistance without compromising their anonymity.

Okara is a privacy-first AI workspace and private chat platform that lets professionals interact with 20+ powerful open source AI language and image models in one unified environment without losing context as you switch between models, conduct research, generate content, or analyze documents. All conversations, uploads (PDF, DOCX, spreadsheets, images), and workspace memory are encrypted at rest, processed on privately hosted open-source models, and never used for AI training or shared with third parties, giving users full data control with client-side key generation and true deletion. Okara combines secure, encrypted AI chat with integrated real-time web, Reddit, X/Twitter, and YouTube search tools, unified memory across models, and image generation, letting users weave live information and visuals into workflows while protecting sensitive or confidential data. ...

With features like on-device AI-powered document search and granular access control, Qypt AI enhances productivity while safeguarding confidential information. Whether you're handling personal documents like tax recChat & Discuss Documents: Securely, Without Sharing. Qypt AI provides a secure and efficient solution for team communication and collaboration. Designed for both individuals and businesses, Qypt AI offers encrypted messaging, secure file sharing, and advanced document redaction,...

...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.

Confer is a privacy-focused AI assistant created by Signal co-founder Moxie Marlinspike as an alternative to mainstream chatbots like ChatGPT. It is designed to feel familiar to users while fundamentally changing how data is handled behind the scenes. Confer ensures that user conversations are never collected, stored, or used for training or advertising purposes. Messages are encrypted using WebAuthn passkeys, preventing the service provider from accessing user content. All AI inference runs inside a Trusted Execution Environment, with verification systems that ensure the infrastructure has not been compromised. ...

CamoCopy is a privacy-first AI assistant and search platform designed as a secure alternative to ChatGPT and traditional search engines. Built on an open-source core, it delivers powerful AI capabilities without compromising user data or privacy. All chats, documents, images, and searches are encrypted and stored exclusively on EU-based servers. CamoCopy combines AI chat, anonymous web search, document analysis, and image recognition in one unified platform. Users can create workspaces to organize conversations and customize AI behavior by project or department. ...

Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models.

...It encrypts data in memory within hardware-based trusted execution environments, only allowing computation to proceed after the cloud platform verifies the environment. This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure.

...Whether you're a therapist managing sensitive client information, a lawyer drafting confidential documents, or an entrepreneur brainstorming your next big idea, Maple AI delivers secure productivity. It offers seamless syncing across devices, allowing users to move effortlessly between desktop and mobile, always picking up right where they left off. Maple AI provides a consistent and secure experience across platforms. With features like chat history search, AI-generated chat naming, and customizable chat organization, Maple enhances user productivity.

...It emphasizes privacy-first design with automatic personal data detection and masking, zero training on user data, and strong security and compliance controls with EU-based infrastructure and protections such as GDPR-aligned policies and customizable retention, so sensitive data stays controlled and protected while AI works against live sources.

...Hosted in AWS GovCloud's FedRAMP high environment and Hathr AI helps teams ensure that all data interactions remains confidential and protected against unauthorized access. It allows users to automate tasks such as patient note summarization, pre-authorization writing, and insurance claim submissions on a unified interface. Leveraging models, such as Claude 3.5 Sonnet, Hathr AI provides a private, HIPAA-compliant AI environment, ensuring that sensitive data remains within control. Teams can retrieve and summarize information from extensive medical records, enabling informed clinical decisions.

...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.

Traditional AI platforms store your conversations and train their models with your data. For professionals, freelancers, and businesses, this represents a risk. Elosia provide a unified AI workspace that gives you access to the best models and an offline mode while guaranteeing total privacy. Key Features: 🔒 Privacy by Design : - 100% local storage on your machine - Your data never passes through our servers - Priority access to Zero Data Retention (ZDR) models - Offline mode...

...Phala powers sensitive workloads across finance, healthcare, AI SaaS, decentralized AI, and other privacy-critical industries. Trusted by thousands of developers and enterprise customers, Phala enables businesses to build AI that users can trust.