Privacy-First AI Assistant

Run Any ModelOn Your Terms

Deploy offline models or connect your own API. Run AI locally, invoke on-device tools, and keep everything under your control. No middlemen, No tracking, No vendor lock-in. Just fast, private, professional-grade AI at your fingertips

Offline Models

Self-Hosted

MCP Protocol

Trusted by developers, analysts, and creators who run AI on their own terms.

• Chat/Image/Speech support

• Various API providers

• Multiple share options

• iCloud sync

Powerful Features forProfessional Use

Privacy AI is designed for professionals who need powerful AI capabilities without compromising on privacy or security.

Self-Hosted Servers

Use your own OpenAI-compatible API servers (e.g., Ollama, LM Studio, vLLM) to run private or fine-tuned models with full control over inference and data flow.

Offline AI Models

Deploy large language models (LLMs) directly on-device using GGUF format. Run AI offline—no network, no latency, no data leakage.

Privacy by Design

Privacy AI has no backend, no analytics, and no login requirement. All prompts, tools, and files stay 100% on your device—ideal for enterprise and regulated environments.

MCP Tool Integration

Extend your AI workflow with the Model Context Protocol (MCP). Connect internal APIs, external tools, or multi-agent systems—fully compatible with both online and offline models.

Document to Markdown

Convert PDF, DOCX, EPUB, HTML, video, or audio into structured Markdown. Run OCR, summarization, and transcription locally with no cloud upload.

Built-In Local Tools

Includes on-device tools for web search, real-time stock quotes, Polymarket insights, HealthKit analytics, calendar events, and email composition.

API Compatibility

Bring your own keys from OpenAI, Claude, Gemini, Perplexity, Grok, HuggingFace, Kimi, DeepSeek, or OpenRouter. Full streaming and tool compatibility supported.

iOS Native Integration

Supports Siri Shortcuts, Share Extensions, and iCloud sync. Works natively across Apple devices with consistent UX and full offline functionality.

Secure & Serverless

No login required. No cloud dependency. Privacy AI is a fully self-contained AI platform optimized for developers, analysts, and enterprise workflows.

Bridge Server-Side AI to Mobile

Engineers and enterprise users can now run, debug, and connect to self-hosted LLMs and tools from mobile—securely, offline, and with full context. Privacy AI turns your iOS device into a trusted AI operations console.

Privacy-First ArchitectureEnterprise-Grade Security

Everything runs on-device or through your self-hosted stack. Your models, data, and workflows stay fully under your control—by design.

Run Any Model, Anywhere

Connect to your own OpenAI-compatible server or run GGUF models entirely offline. Swap models mid-chat without losing history. No lock-in, no friction

Operate Fully Offline

Privacy AI has no backend. It handles prompts, documents, and speech on-device—ideal for sensitive data, internal tools, or regulated workflows.

Zero Data Collection

We never see or store your data. No backend, no analytics, no tracking—just a private AI experience, built to run entirely on your device.

Use Any Tool, with Any Model

Call internal APIs, agents, or logic from chat—even with offline models. Full MCP protocol support and visual inspectors make integration and debugging seamless.

Process Files. Extract Value.

Analyze PDFs, Office docs, audio, video, or HTML entirely offline. Transcribe, summarize, convert, and automate—all without exposing your content to the cloud.

Stay in Sync, Privately.

Sync models, chat history, and settings across iPhone, iPad, and Mac via iCloud. No login required, no external backend—just seamless continuity under your control.

Why Privacy AI Is Different

Privacy AI isn’t just a chatbot. It’s a fully local, extensible, and privacy-respecting AI platform—designed for professionals who want full control over their models, data, and workflows.

What We DON'T Do:

Require an account or login
Send your data to cloud servers
Lock you into a single provider
Hide how tools operate
Limit tools to built-in functions
Restrict supported file types
Collect or analyze your usage data
Charge per token or cloud time
Force a cloud-only experience

What We DO:

Run fully offline on-device
Support self-hosted LLM APIs
Switch models mid-chat freely
Inspect and debug every tool call
Integrate any tool via MCP
Process documents, audio, and video locally
Keep all data private and local
Run unlimited inference with no cloud costs
Deliver full AI power on iPhone and iPad

Supported Local AI Models

Run these powerful AI models completely offline on your device with no internet required.

Qwen3

0.6B to 4B

Llama 3.2

GLM Edge

Gemma

SmolLM2

1.7B

Phi4 mini

Liquid AI

1.2B

ERNIE 4.5

0.3B

Whisper

tiny,small,medium,base,large

Frequently AskedQuestions

Get answers to common questions about Privacy AI's features, security, and how it works.

Can I run large language models completely offline?

Yes. Privacy AI supports offline GGUF-format models that run fully on-device without requiring any internet access. This includes models like DeepSeek, Qwen, Mistral, and more—right on your iPhone, iPad, or Mac.

How do I connect to my own AI server or API?

You can connect to any OpenAI-compatible server by entering your API base URL and key. Privacy AI works seamlessly with self-hosted platforms like Ollama, LM Studio, or your own deployment using vLLM or OpenRouter.

What kind of tools and integrations are supported?

Privacy AI supports the Model Context Protocol (MCP), which lets you connect internal APIs, agent frameworks, or third-party tools. You can call these tools from any model—online or offline—with full execution logging and debugging support.

Does Privacy AI share or analyze my data?

No. Privacy AI has no backend, no cloud server, and no analytics SDK. All processing happens locally or through your explicitly configured self-hosted API. We never see your conversations, files, or prompts.

What file types can I import and process?

You can import PDF, DOCX, PPTX, EPUB, HTML, audio, video, and image files. Privacy AI will convert them into structured Markdown, transcribe audio/video, extract text, and summarize content—all locally on-device.

Can I use tools like web search, stock data, or HealthKit?

Yes. Privacy AI includes built-in local tools for web search, real-time stock quotes, arXiv, Polymarket, Health app analysis, and even email/iMessage composition—all without sending your data to any external service.

Is it possible to switch models during a conversation?

Yes. You can freely switch between local and remote models mid-chat. Privacy AI keeps your context and conversation history intact when switching, so you can compare answers or use different models as needed.

What devices and platforms does Privacy AI support?

Privacy AI is optimized for iOS, iPadOS, and macOS, with full support for iCloud sync, Siri Shortcuts, Share Extensions, and M-series chip acceleration for large model inference.

Is this suitable for enterprise or regulated use cases?

Absolutely. Privacy AI is used by professionals in AI infrastructure, law, finance, and healthcare who require full data control, local execution, and auditability. It’s ideal for internal tools and secure environments.

Does it require a subscription, and why isn't it free?

Yes. Privacy AI uses a subscription model to sustain development without ads, tracking, or data sales. There’s no free tier to ensure a clean, private experience focused on professional-grade features.

How is Privacy AI different from ChatGPT or Gemini?

Unlike cloud-based chatbots, Privacy AI runs fully on-device or with your own self-hosted servers. You control the model, the tools, and the data. There’s no account, no data sharing, and no vendor lock-in.

Can I use my own OpenAI or Claude API keys?

Yes. Privacy AI lets you bring your own API keys for OpenAI, Claude, Gemini, Perplexity, Groq, and more. You can use them alongside local models and even switch models mid-conversation.

How do I update or import models?

You can download GGUF models directly from HuggingFace or import your own model files from local storage. Model files are automatically synced across devices via iCloud for seamless access.

How does iCloud sync work in Privacy AI?

iCloud is used to sync your models, chat history, and tool settings securely across iPhone, iPad, and Mac. All syncing stays within your Apple account—no third-party servers involved.

What are some common team use cases for Privacy AI?

Teams use Privacy AI to test custom LLMs on mobile, debug toolchains, process sensitive documents offline, or integrate internal APIs for research, legal review, or on-site operations—without exposing data to external services.

Still have questions?

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