IQAI

Inspiration

We built IQAI to help organizations securely interact with their knowledge using AI. Instead of being just another chatbot, IQAI combines conversational AI, document intelligence, and business automation into one platform.

What it does

IQAI lets users chat with AI, analyze documents, retrieve information using RAG, generate reports, automate workflows, and gain insights from enterprise data through a secure AI workspace.

How I built it

Built with ASP.NET Core, React, SQL Server, C#, TypeScript, JWT Authentication, REST APIs, and Retrieval-Augmented Generation (RAG) for accurate, context-aware responses.

Challenges I ran into

The biggest challenges were implementing secure multi-tenant architecture, reducing AI hallucinations with RAG, handling large documents efficiently, and maintaining fast response times.

Accomplishments that I'm proud of

We created an enterprise-ready AI platform that combines chat, document intelligence, knowledge retrieval, and automation into a scalable, secure solution.

What I learned

Building enterprise AI requires more than powerful models—it demands strong security, reliable knowledge retrieval, scalable architecture, and an intuitive user experience.

What's next for IQAI

We're expanding IQAI with AI agents, voice interaction, ERP/CRM integrations, workflow automation, mobile apps, and private on-premise AI deployments.

Built With

• .net
• asp.net
• c#
• core
• css
• css3
• entity-framework
• framework
• html5
• javascript
• json
• ollama
• qwen
• react
• signalr
• sql
• tailwind
• typescript