# AI Chatbot Development Company | GTS Infosoft

GTS Infosoft builds production-grade AI chatbots and conversational assistants on large language models like OpenAI's GPT, grounded in your own data through retrieval-augmented generation (RAG). We've shipped 250+ apps over 16 years across India, the USA and Australia, and we use that experience to turn support and sales workflows into automated, always-on conversations.

Website support bots, WhatsApp bots, internal knowledge assistants, voice agents — we design chatbots that hold context, cite your documents and know when to hand a conversation to a human. Response times drop. So does operational cost.

## Key Features We Build
- LLM-powered conversational assistants using OpenAI GPT models
- RAG over your documents, FAQs and databases for accurate, grounded answers
- Support automation with ticket deflection and seamless human handoff
- Multi-channel deployment across website, WhatsApp, Slack and mobile apps
- Voice assistants with speech-to-text and text-to-speech
- Admin dashboard for prompts, knowledge base, analytics and guardrails

## Apps We Take Inspiration From
We benchmark leading conversational AI tools and build a private assistant tuned to your data.
- ChatGPT - for natural conversation; we ground it in your data with RAG to eliminate hallucinations
- Intercom Fin - for support automation; we add custom workflows and lower per-conversation cost
- Zendesk AI - for ticket deflection; we deepen integration with your internal systems
- Drift - for sales chat and lead capture; we improve qualification with tailored prompts

## Why GTS Infosoft
- **Deep LLM expertise** — OpenAI integration, RAG pipelines, prompt engineering and eval work
- Modern stack with vector databases, Node.js and scalable serverless deployment
- Guardrails, monitoring and analytics to keep answers accurate and on-brand
- Full ownership of your bot, data and prompts with ongoing tuning and support

## FAQ

### How much does it cost to build a custom AI chatbot?
It depends on channels, knowledge-base size and integrations. A focused support bot with RAG starts in the low-to-mid four figures; a multi-channel assistant with voice and deep system integration costs more. Describe your use case and we'll quote it free.

### How long does it take to build an AI chatbot?
A RAG-based support chatbot can go live in 3-6 weeks. Multi-channel or voice assistants with custom integrations take longer — usually 8-12 weeks — and we deliver them in agile sprints.

### What is RAG and why does my chatbot need it?
Retrieval-augmented generation means the bot answers from your own documents and data rather than guessing. Responses stay grounded in trusted sources, get cited, and hallucinations drop sharply — which matters a lot for support and internal knowledge bots.

### Can the chatbot handle voice and multiple languages?
Yes. We add speech-to-text and text-to-speech for voice agents, and the bots handle multilingual conversations — so customers can type or talk in whichever language they prefer.

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Source: https://gtsinfosoft.com/ai-chatbot-development · GTS Infosoft LLP