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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.

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.