Join the AI-Chat Revolution
We're building the future of conversational AI. Join our community of developers, entrepreneurs, and innovators who are shaping how businesses communicate with their customers.
About AI-Chat Project
AI-Chat is more than just a chatbot platform - it's a comprehensive ecosystem for building, deploying, and managing intelligent conversational AI that transforms how businesses interact with customers.
Our Mission
To democratize AI technology by making advanced conversational AI accessible to businesses of all sizes. We believe every company should have the power to provide instant, intelligent customer support without the complexity of building AI systems from scratch.
Our Vision
To create a world where human-AI collaboration enhances customer experiences globally. We envision AI-Chat as the bridge between cutting-edge AI research and practical business applications, enabling seamless communication across languages and cultures.
What Makes AI-Chat Special
Advanced RAG Technology
Retrieval-Augmented Generation with vector embeddings for accurate, contextual responses based on your specific knowledge base.
Multi-Modal AI
Text, voice, and visual AI capabilities with speech-to-text, text-to-speech, and image recognition integration.
Global Accessibility
Real-time translation across 10+ languages with cultural context awareness for truly global customer support.
Universal Integration
Seamless integration with Telegram, Facebook Messenger, websites, and custom applications via robust APIs.
Advanced Analytics
Deep insights into customer interactions, conversation flows, and performance metrics for continuous optimization.
Enterprise Security
SOC 2 compliance, GDPR compliance, and enterprise-grade security for sensitive business communications.
Our Technology Stack
Frontend
- • Next.js 15 & React 19
- • TypeScript
- • Tailwind CSS
- • Framer Motion
Backend
- • .NET Core API
- • PostgreSQL + pgvector
- • Redis caching
- • Docker containers
AI & ML
- • OpenAI GPT models
- • Google Gemini
- • HuggingFace models
- • Vector embeddings
Infrastructure
- • Cloud-native deployment
- • Auto-scaling
- • Load balancing
- • 99.9% uptime SLA