Basic features of TuaGPT
With TuaGPT you can:
perform fast and reliable inferences,
customize models with your data,
support teams and business processes easily and securely, and much more...
TuaGPT Software Client
The local client is an application installed on Windows that allows users to easily interact with the AI. It boasts an intuitive and immediately accessible interface. Fully integrated into Windows, it never copies, moves, or transfers your data, even when it is scanned for analysis by the local AI model. It boasts secure connection management with authentication tokens and SSL/TLS for communication with the private internal server. It does not require an Internet connection (except for web search functionality) and can be used without any limitations.
TuaGPT Server
The TuaGPT corporate AI Server is installed within the LAN and hosts the artificial intelligence models. It runs inferences locally, without sending data externally. It supports customization and, thanks to the client, can provide responses using company data. It manages centralized security, logging, and auditing.
Communication between client and server occurs via internal APIs, protected by TLS and controlled by an authentication gateway that guarantees secure and traceable access.
TuaGPT
TuaGPT is a local AI platform designed for companies that want to leverage the power of language models in complete security and GDPR compliance. The system is installed within the company infrastructure and connects to the AI server via the LAN, without sending data to external cloud services. Thanks to a secure architecture based on token authentication, connection encryption, and access controls, TuaGPT ensures that information always remains under the organization's full control.
Funzionalità Implementate 01/10/2025:

GIM is a Workflow Management System for Real Estate Agencies that integrates modern technologies for accessing and processing input data, minimising both the input work and the learning curve of the management system itself.
TuaGPT Client Implementation Roadmap 2025 / 2026:

►Automatic Backup: Periodic database backup
►Database Compression: Optimize the size of your SQLite database ►Structured Update System for the Application
►Drag & Drop: Drag and drop files for RAG
►RAG Implementation with Intelligent Chunking: Semantic-based document division
►Custom Embeddings: Support for custom embedding templates
►Advanced Semantic Search: Search for concepts, not just keywords
►Voice Input/Output: Speech-to-Text and Text-to-Speech integration
►Linux and macOS Version
►Database Compression: Optimize the size of your SQLite database ►Structured Update System for the Application
►Drag & Drop: Drag and drop files for RAG
►RAG Implementation with Intelligent Chunking: Semantic-based document division
►Custom Embeddings: Support for custom embedding templates
►Advanced Semantic Search: Search for concepts, not just keywords
►Voice Input/Output: Speech-to-Text and Text-to-Speech integration
►Linux and macOS Version





