Skip to main content
BiltIQ AI logoBiltIQ AI logo
Agentic AI · Conversational
ATC

Chat

Agents That Answer From Your Documents. And Act On Your Systems.

RAG + MCP Powered.
Every Channel. Every Language.

RAG grounds every response in your documents — cited, verifiable, zero hallucination. MCP connects agents to your databases, CRMs, and tools — they don’t just answer, they act. Deploy across Web, WhatsApp Business API, Telegram, and Voice. 1,000+ simultaneous conversations. 95% first-contact resolution. 100+ languages.

1,000+
Concurrent
95%
Resolution
100+
Languages
24/7
Always On
Deploy Your Chat Agent
See RAG-grounded answers + MCP-powered actions on your documents — live, on local hardware.
Your data stays private. We never share your information.
01 — Channels

One RAG + MCP Agent Brain. Four Channels. Simultaneously.

Deploy once, serve everywhere. Single RAG knowledge base, single MCP tool registry, four delivery channels.

Web Widget

Embed on any website. Single line of JavaScript. Customizable UI. Real-time WebSocket connections.

WhatsApp

WhatsApp Business API integration. Rich media, quick replies, template messages. 1,000+ concurrent sessions.

Telegram

Telegram Bot API. Inline keyboards, file sharing, group chat support. Instant deployment.

Voice

Voice channel with STT + TTS. Natural spoken conversations. IVR replacement. Regional language support.

02 — Capabilities

RAG for Intelligence. MCP for Action.

RAG (Retrieval-Augmented Generation) grounds every answer in your documents. MCP (Model Context Protocol) connects agents to your systems for real actions.

RAG-Grounded

Every response retrieved from your documents. Source citations included. If the answer isn’t in the knowledge base, the agent says so — zero hallucination.

MCP-Connected

Agents connect to your databases, CRMs, ERPs, and internal tools via Model Context Protocol. They look up records, create tickets, update statuses — real actions, not just answers.

Escalation Intelligence

Detects frustration, complexity, and intent shifts. Auto-escalates to human agents with full conversation context. Configurable escalation rules per channel.

Conversation Memory

Maintains context across sessions. Remembers user preferences, past queries, and interaction history. Picks up where the last conversation left off.

100+ Languages

Hindi, English, and 100+ languages. Users ask in one language, get answers from documents in another. Cross-lingual retrieval with automatic language detection.

Analytics Dashboard

Real-time conversation analytics. Resolution rates, escalation trends, popular queries, channel performance. Export reports for compliance and optimization.

Still using a rule-based chatbot? See RAG + MCP in action.
Upload your FAQ docs — see RAG-grounded answers. Connect a test API — watch MCP execute real actions.
Book Comparison Demo
03 — Deployment Scenarios

RAG + MCP Agent. Every Channel. Every Use Case.

Four deployment patterns. RAG grounds every answer. MCP executes every action. Entirely on-premise.

Customer Support

Resolve queries before they reach a human

  • →RAG-grounded product FAQ answers with citations
  • →MCP-connected order status lookups and updates
  • →Auto-escalation to agents with full context
  • →WhatsApp + Web simultaneous deployment
  • →95% first-contact resolution target

Internal Helpdesk

IT and HR support that never sleeps

  • →RAG over HR policies, IT knowledge base, SOPs
  • →MCP-connected ticket creation in ServiceNow/Jira
  • →Password reset and access request automation
  • →Telegram + Web deployment for internal teams
  • →Conversation memory across employee sessions

Lead Qualification

Qualify leads 24/7 across every channel

  • →RAG-grounded product information and pricing
  • →MCP-connected CRM record creation and updates
  • →Intelligent lead scoring based on conversation
  • →WhatsApp Business API for high-engagement leads
  • →Calendar integration for demo booking

Citizen Services

Government schemes and services in every language

  • →RAG over government schemes, policies, and circulars
  • →MCP-connected application status tracking
  • →Eligibility checking from policy documents
  • →Voice + WhatsApp for rural accessibility
  • →100+ regional languages with auto-detection
04 — Technology Stack

RAG + MCP Stack. On-Premise. Every Layer.

RAG PipelineMCP ProtocolWhatsApp Business APITelegram Bot APIWebSocketvLLMQdrantFastAPI100+ LanguagesAir-Gap Ready
Need WhatsApp + Voice for a regulated industry?
DPDPA, HIPAA aligned. All conversations stored on your servers.
Talk to an Architect

Deploy Your Chat Agent

Schedule a demo. Upload your documents — see RAG-grounded answers in real time. Connect a test system — watch MCP-powered actions execute. Across Web, WhatsApp, and Voice, on local hardware.

Book Live Demo →Call +91 8986860088[email protected]

Your Data. Your Premises. Your AI.

FAQ

Frequently Asked Questions

How is ATC Chat different from /services/ai-chatbots?

ATC Chat is the productised offering — fixed bundles, multi-channel, deployable in 3 to 5 days. The services page covers fully-bespoke chatbot engagements where we design, train, and integrate from scratch.

What does RAG + MCP mean in plain terms?

RAG (Retrieval-Augmented Generation) lets the bot answer from your documents with citations. MCP (Model Context Protocol) lets the bot act on your systems — create tickets, update records, call APIs. Together: grounded answers and grounded actions.

Which channels does ATC Chat run on?

Web widget, WhatsApp Business, Telegram, Microsoft Teams, Slack, voice (via ATC Voice), email auto-responder, and any channel reachable via webhook. One conversation memory across channels.

How does it handle 1,000+ concurrent sessions?

vLLM continuous batching plus a horizontal worker pool. Reference deployments serve 1,000+ concurrent sessions on 2× A100 80GB GPUs with sub-2-second p99 response time.

Can ATC Chat hand off to a human agent?

Yes. Configurable handoff rules (sentiment, escalation keywords, low-confidence answers, regulated topics) trigger transfer to a human agent on your existing helpdesk, with full conversation history attached.

How is data isolation ensured?

All retrieval indexes, conversation logs, and model weights live on your infrastructure. Channel-specific connectors run in your network DMZ; only the public channel API call exits your perimeter, with no payload leakage.

How long until ATC Chat is in production?

For Quick-Start (single channel, your existing FAQs): 3 to 5 days. For multi-channel with custom RAG corpus and 5+ MCP tool integrations: 4 to 8 weeks.