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Chat Data

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(1)5.0/5

Chat Data is an AI agent platform that enables businesses to build, train, and deploy custom chatbots powered by their own data across 10+ communication channels. Organizations use Chat Data to create AI agents trained on documents (PDF, DOCX, TXT, HTML), websites, Google Drive, Notion, YouTube videos, and audio files. These agents can be deployed as website chat widgets, or connected to WhatsApp, Slack, Discord, Telegram, Instagram, Facebook Messenger, LINE, SMS, and more — from a single dashboard. Who uses Chat Data: Chat Data serves 1,000+ businesses across healthcare, e-commerce, education, SaaS, and professional services. It is particularly suited for organizations that need HIPAA-compliant AI chatbots, multi-channel customer support automation, or white-label chatbot resale capabilities. Key capabilities include: - Multi-source AI training — Train agents on documents, websites, videos, cloud storage, and custom databases. Supports 25+ languages with automatic detection. - Workflow automation — Build multi-step business workflows using natural language prompts, with conditional branching (API calls, code blocks, validation) and dual-handle routing for error handling. - 834 app integrations via MCP — Connect to Shopify, HubSpot, Zendesk, Jira, GitHub, Google Workspace, and 10,000+ tools through Model Context Protocol (MCP) actions. - Real-time voice conversations — Enable voice-based interactions with customizable AI voices, including ElevenLabs integration for natural speech. - Live chat escalation — Seamlessly hand off conversations to human agents with email and SMS notifications, multi-modal input support, and conversation history. - Interactive UI responses — Deliver rich responses with charts, cards, carousels, and dynamic query suggestions based on conversation context. - HIPAA compliance — Pre-trained medical chat models for human and veterinary healthcare with zero chat history retention and BAA agreements on all paid plans at no additional cost. - White-label and reseller options — Deploy chatbots under custom domains with SSO login, branding removal, and a dedicated reseller program for agencies. - Custom model backends — Integrate proprietary AI models alongside GPT-5, Claude 4, Gemini 3, and DeepSeek through a flexible model backend system. How Chat Data is different: Chat Data combines multi-channel deployment breadth (10+ platforms from a single agent) with healthcare-grade compliance at mid-market pricing. The platform supports the full lifecycle from training to deployment to live chat handoff — without requiring separate tools for each stage. Its MCP-based integration architecture provides access to 10,000+ tools without custom development. Pricing: Chat Data offers four tiers: Free ($0/month, 40 messages), Entry ($18.99/month, 2,000 messages, 2 agents), Standard ($95/month, 10,000 messages, 7 agents, workflow automation), and Professional ($349.99/month, 40,000 messages, 20 agents, VIP support). Enterprise plans with dedicated infrastructure are available. Annual billing includes two months free.

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 ![Mr A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mr A.")
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[Mr A.](https://www.g2.com/users/bb42c313-eebb-4008-8a0d-6ec7371cd669 "Mr A.")

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8 days ago

🚀 Best Friend to Founders | Will Be Top Product Hunt Hunter 🐱 | Helped many startups &amp; founders launch &amp; grow with GTM &amp; marketing | 📩X: @MrAbiers | 📧 Telegrm: @MrAbier

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# How are you handling analytics needs in Chat Data for an AI support assistant?
](/discussions/how-are-you-handling-analytics-needs-in-chat-data-for-an-ai-support-assistant)
The setup process in Chat Data feels straightforward, and the dashboard makes it easy to update. At the same time, the analytics feel like they could be more advanced. For teams launching an AI support assistant without building a custom RAG system from scratch, what analytics do you wish were... [Read more](/discussions/how-are-you-handling-analytics-needs-in-chat-data-for-an-ai-support-assistant)

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### [Mr A.](https://www.g2.com/users/bb42c313-eebb-4008-8a0d-6ec7371cd669 "Mr A.")

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