Privacy-first AI tooling

Privy keeps high-context AI work close to the machine.

A local-first product family for documents, feeds, editing, API workflows, and reusable AI infrastructure.

local-first privacy-first kit-based multi-platform

Goals

Default to local custody.

  • 1Keep sensitive documents off the cloud by default
  • 2Reuse OCR, PDF, embedding, RAG, TTS, and related capabilities through a shared Kit layer
  • 3Run one core stack across macOS, iOS, browser extensions, and optional desktop shells

Architecture

Shared kits, multiple product surfaces.

The product line is designed around reusable capability layers, so parsing, inference, providers, queues, and multimodal I/O do not need to be rebuilt per app.

Matrix

Products and kits

Each surface is a focused app, while the shared kit layer carries the heavy technical capability.

PrivyPDF

PrivyPDF

PDF Q&A, export to Markdown, Word, JSON, and OCR workflows

PrivyFeed

PrivyFeed

RSS aggregation, local/LAN inference summaries, and semantic search

PrivyIME

PrivyIME

IME plus LLM augmentation with privacy and compliance boundaries

PrivyMermaid

PrivyMermaid

Local Mermaid editing and preview across extension and native surfaces

PrivyApiStudio

PrivyApiStudio

API debugging, comparison, diff, and code generation tools

Kit layer

Kit layer

LlamaKit, DoclingKit, OCRKit, ImageKit, AudioKit, JobQueueKit, and ProviderKit