Silentis.ai: Secure, Offline AI for Privacy-Conscious Developers and Teams

Silentis.ai is a privacy-first, open-source AI platform that delivers powerful, offline-first tools for coding, chatting, and data management—ideal for developers, enterprises, and individuals who prioritize data security and independence from internet connectivity. Built with local AI models like Llama 3 and Phi-3, it supports seamless code completion, debugging, and intelligent suggestions through its AI Coding IDE, while advanced features such as model quantization, document context upload, and customizable system prompts enhance productivity. With full offline operation, local data storage, and enterprise-grade capabilities including user management, audit logs, compliance reporting, and secure REST API access, Silentis.ai ensures robust security and flexibility across Windows, Mac, and Linux systems. The platform also empowers users with tools like the Neural Data Replicator for offline dataset creation and Silentis Quantum for optimizing model performance.

Key Features:

• Offline-First AI Coding IDE: Local AI-powered code completion, debugging, and intelligent suggestions with no internet dependency.
• Privacy-Protected Data Handling: All data—including chats, documents, and settings—is stored locally and never leaves the user's device.
• Support for Open-Source GGUF Models: Compatibility with hundreds of models including Llama 3, DeepSeek, Phi-3, and Reasoner v1.
• Document Upload (up to 10,000 characters): Enables contextual AI responses by uploading text and PDF files directly to the local environment.
• Customizable System Prompts & Parameters: Adjust temperature (0.1–1.0) and max tokens (100–4096) for tailored AI behavior.
• GPU Acceleration via NVIDIA CUDA: Optimized performance with support for modern GPUs and Compute Capability 6.0+.
• REST API with Localhost-Only Access: Secure, programmatic integration with optional API key authentication.
• Chat History Management: Full control over chat history with search, edit, delete, and keyboard shortcuts (e.g., Ctrl+N for new chat).
• Export & Import Chats: Save or load conversations in JSON and PDF formats for portability and backup.
• Neural Data Replicator: Create and export Q&A datasets in JSONL format entirely offline.
• Silentis Quantum: Model quantization toolkit supporting multiple quantization types to reduce model size and boost efficiency.
• Silentis Enterprise Edition: On-premise solution with user/role management, audit logs, fine-tuning, compliance reporting, and centralized configuration.
• Compliance Ready: Designed to meet GDPR, HIPAA, and CCPA standards through local data processing.
• Usage Analytics Dashboard: Track chat volume and token usage over customizable time ranges (24h, 7d, 30d, or all time).
• Centralized Admin Controls: Manage user limits, session timeouts, and security policies via a secure admin panel.
• Model Download Manager: Built-in tool to fetch models from Hugging Face or use local files.
• Lightweight & Device-Friendly: Optimized for low-end hardware while supporting large-scale models (70B+).
• Multi-Platform Support: Available as standalone executables for Windows (.exe), macOS (.dmg), and Linux (.AppImage).
• Open-Source & Free to Use: Transparent codebase with community-driven development via GitHub and Discord.
• $SILENTIS Token (BSC): Utility token for ecosystem funding and future feature development.
• Swans NFT Collection: Part of the Silentis ecosystem, supporting community engagement.

Pricing: Silentis.ai is free and open-source for all users. While the core platform is entirely free, optional paid online support packages are available for enterprise deployment, integration, and priority bug fixes, making it a freemium offering with premium support tiers.

Conclusion: Silentis.ai stands out as a powerful, privacy-centric AI suite that brings enterprise-grade capabilities to local devices—perfect for developers and organizations demanding security, customization, and independence from cloud-based services.