What is a RAG-powered chatbot?

A RAG (Retrieval-Augmented Generation) chatbot combines a large language model with your business data. It retrieves relevant information from your knowledge base, documents, or databases before generating responses, ensuring accurate and contextual answers specific to your business.

Which platforms can you deploy chatbots on?

We deploy AI chatbots on websites (embedded widgets), WhatsApp, Slack, Discord, Microsoft Teams, Telegram, Facebook Messenger, and custom mobile apps. Multi-channel deployment is supported so one chatbot can serve all your platforms.

How much does AI chatbot development cost?

AI chatbot development starts at $3,000 for simple FAQ bots and can range up to $30,000+ for enterprise RAG chatbots with custom training, multi-channel deployment, and complex integrations. We provide detailed quotes after understanding your requirements.

Can your chatbots handle multiple languages?

Yes. Our AI chatbots support 50+ languages out of the box using multilingual LLMs. They can detect the user's language automatically and respond accordingly, making them ideal for global businesses.

How do you train chatbots on our business data?

We ingest your documents, PDFs, websites, databases, and knowledge bases into a vector database. The chatbot uses RAG to retrieve relevant context before generating answers. We also support fine-tuning for domain-specific terminology and tone.

AI Chatbots

Smart Chatbots That Actually Help

We build AI chatbots powered by RAG and LLMs that understand your business, answer accurately from your knowledge base, and handle conversations like your best employee.

RAG-powered knowledge retrieval
Multi-channel deployment (web, WhatsApp, Slack)
Custom-trained on your business data
Human handoff & escalation built-in

24/7

Always available

80%

Auto-resolved queries

<2s

Response time

50+

Languages supported

24/7

Always available

80%

Auto-resolved queries

<2s

Response time

50+

Languages supported

Features

Everything a Smart Chatbot Needs

From RAG-powered knowledge retrieval to multi-channel deployment — everything built to make your chatbot genuinely useful.

RAG Knowledge Base

Connect your docs, FAQs, SOPs, and internal wikis. The chatbot retrieves and reasons over your data for accurate, sourced answers.

Natural Conversations

Powered by state-of-the-art LLMs that understand context, follow up naturally, and handle complex multi-turn conversations.

Multi-Channel Deploy

Deploy on your website, WhatsApp, Slack, Teams, Discord, or any platform via API. One brain, everywhere your customers are.

Human Handoff

Seamless escalation to human agents when needed, with full conversation context passed along. No repeated questions.

Multilingual Support

Auto-detect and respond in 50+ languages. Serve global customers without hiring multilingual teams.

Analytics Dashboard

Track conversations, resolution rates, popular topics, and user satisfaction. Data-driven improvements to your chatbot.

Brand Customization

Custom UI, tone of voice, and personality. Your chatbot looks and sounds like your brand, not a generic AI.

Guardrails & Safety

Built-in content filters, hallucination detection, and topic boundaries to keep conversations safe and on-brand.

Use Cases

Chatbots for Every Industry

See how AI chatbots transform customer experience across different sectors.

Customer Support Bot

SaaS & Tech

AI chatbot trained on your help docs and ticket history. Resolves common issues instantly, creates tickets for complex ones, and learns from every interaction.

Instant answers from knowledge base

Auto-ticket creation for complex issues

Sentiment-aware escalation

Continuous learning from resolved tickets

80% fewer support tickets

Deployment

Deploy Everywhere

One AI brain, deployed across every channel your customers use.

Website Widget

Embed directly on your website with a customizable chat widget that matches your brand.

Deploy on WhatsApp Business API for customer support and engagement on the world's most popular messaging app.

Slack & Teams

Internal company chatbot for Slack or Microsoft Teams — instant access to company knowledge for every employee.

Mobile App

Native SDK integration for iOS and Android apps with push notifications and in-app messaging.

Email

AI-powered email responses that draft, categorize, and respond to customer emails with human-level quality.

Custom API

RESTful API endpoint to integrate your chatbot into any custom application, dashboard, or workflow.

Our Process

From Data to
Deployed Chatbot

A proven process to build, train, and launch AI chatbots that deliver real value from day one.

Analyze & Plan

Knowledge Audit

We review your existing knowledge base, FAQ content, support tickets, and documentation to understand what the chatbot needs to know and how customers ask questions.

Content analysisIntent mappingGap identification

Build & Train

RAG Pipeline Setup

We build the retrieval-augmented generation pipeline — embedding your documents, configuring vector search, selecting the right LLM, and fine-tuning prompts for accuracy.

Vector embeddingsLLM selectionPrompt engineering

Customize & Integrate

Design & Connect

Custom UI design matching your brand, integration with your CRM, ticketing system, and communication channels. Human handoff logic and escalation rules configured.

Brand UICRM integrationChannel deployment

Launch & Optimize

Go Live & Improve

We deploy your chatbot with monitoring dashboards, track conversation quality, gather user feedback, and continuously improve retrieval accuracy and response quality.

A/B testingFeedback loopsAccuracy tuning