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README.md

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 title: README
-emoji: 🤖
+emoji: 📄
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 colorTo: purple
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-# Local AI Agent Platform for Developers
+# The Private Document Intelligence Platform
 
-**Your AI. Your Data. On Your Device.**
+**From documents to data, knowledge, and action. Privately.**
 
-LM-Kit is a complete platform for building and deploying AI agents with **zero cloud dependency**. It unifies trained models, on-device inference, orchestration, RAG pipelines, MCP-compatible tool calling, and reusable task specialists in a single framework.
+LM-Kit turns documents into structured data, internal knowledge into cited answers, and document workflows into governed automation, entirely on infrastructure you control. No cloud calls, no data leaving your machines, no per-token fees.
 
-Built for developers who need **complete data sovereignty** and **no external API calls**.
+---
+
+## 🧩 Two Products, One Engine
+
+🖥️ **[LM-Kit One](https://lm-kit.com/products/lm-kit-one/)** - A private AI server you deploy. Structured extraction, knowledge search with citations, governed document agents and model management, reached over native REST, OpenAI-compatible, Ollama and Anthropic APIs, or from AI assistants over MCP.
+
+📦 **[LM-Kit.NET](https://lm-kit.com/products/lm-kit-net/)** - The Private Document Intelligence SDK for .NET. The same engine as one NuGet, fully in-process: structured extraction with per-field confidence, OCR, PII redaction, RAG with citations, agents, vision and speech. Zero cloud calls.
+
+---
+
+## 🤗 Models in This Organization
+
+These repositories are the LM-Kit model catalog: curated, quantized builds maintained for both products.
+
+- **`*-gguf`** - Standard GGUF quantizations, usable with any GGUF-compatible runtime
+- **`*-lmk`** - The same models packaged in the LM-Kit format, loaded directly by model ID, for example `LM.LoadFromModelID("qwen3.8:27b")`
 
 ---
 
 ## ✨ What You Can Build
 
-🤖 **AI Agents** - Conversational AI with smart memory and MCP tool calling  
-📄 **Document Intelligence** - PDF chat, structured extraction, layout analysis  
-🔍 **RAG Pipelines** - Semantic search with built-in vector database and Multimodal RAG  
-📊 **Analysis Agents** - Sentiment, NER, PII extraction, custom classification  
-🌐 **Language Processing** - Translation, speech-to-text, language detection  
-🎨 **Vision & Multimodal** - Visual understanding, image embeddings, multimodal search  
+📄 **Documents to data** - Schema-driven extraction with per-field confidence, OCR, layout analysis, Markdown conversion  
+🔍 **Knowledge with citations** - Hybrid search and RAG over internal documents, with answers citing document and page  
+🛡️ **Privacy workflows** - PII detection, redaction, classification, named entity recognition  
+🤖 **Governed agents** - Tool calling under permission policies, memory, MCP  
+🎨 **Vision** - Visual document understanding, image embeddings, multimodal search  
+🎙️ **Speech** - Local speech-to-text and transcription  
 
 ---
 
-## 🚀 Why Local AI?
+## 🔒 Why Private?
 
-- **100% Local Inference** - No data leaves your infrastructure
-- **No Per-Token Costs** - Predictable pricing, unlimited inference
-- **Cross-Platform** - Windows, macOS, Linux (including ARM64)
-- **Offline-Ready** - Works in air-gapped environments
-- **Native SDKs** - LM-Kit.NET for .NET developers, with more to come
+- **Private by architecture** - Inference runs on your hardware; offline and air-gapped deployments work
+- **Verifiable by output** - Extractions carry confidence scores, answers carry citations
+- **Governed in operation** - Permission policies decide what agents and tools may do
+- **Cross-platform** - Windows, Linux, macOS (including ARM64)
+- **No per-token fees** - Predictable licensing, unlimited inference
 
 ---
 
 ## 📚 Resources
 
 🌐 **Website:** [lm-kit.com](https://lm-kit.com)  
-📖 **Documentation:** [docs.lm-kit.com](https://docs.lm-kit.com/lm-kit-net/index.html)  
+📖 **Documentation:** [docs.lm-kit.com](https://docs.lm-kit.com/)  
 💻 **GitHub Samples:** [LM-Kit Samples](https://github.com/LM-Kit/lm-kit-net-samples)  
-📦 **NuGet:** [LM-Kit.NET Packages](https://www.nuget.org/profiles/LM-Kit)
+📦 **NuGet:** [LM-Kit.NET Packages](https://www.nuget.org/profiles/LM-Kit)  
+🛡️ **Trust Center:** [lm-kit.com/trust](https://lm-kit.com/trust/)
 
 ---
 
-## 🎁 Free Community Edition
+## 🎁 Free for Small Businesses and Education
 
-Get started with full SDK access - no signup required, no feature limits.
+Our mission is to empower every organization with private AI. Both products are free for small businesses and for education, including commercial use, with nothing to activate and no runtime license check. Evaluation and development are free at any company size.
 
-👉 [**Download Free**](https://lm-kit.com/products/download/) | [**Community License**](https://lm-kit.com/products/community-edition/)
+👉 [**Free Download**](https://lm-kit.com/products/download/) | [**LM-Kit One**](https://lm-kit.com/products/lm-kit-one/) | [**Pricing**](https://lm-kit.com/pricing/)