Chaindesk's no-code platform makes it easy to train a custom ChatGPT chatbot on your company data in minutes. It leverages Generative AI models like GPT-4 to provide secure, precise responses, resolving customer inquiries and instantly reducing your team’s ticket volume. Chaindesk ingests content seamlessly from various sources including Files, Notion, Google Drive, Zendesk Help Center, and any public URL for comprehensive responses. With built-in safeguards, Chaindesk Agents provide precise responses that stick to your knowledge base, eliminating off-topic conversations and misleading responses. Chaindesk ensures uninterrupted conversations across platforms including Embeddable Widgets, WhatsApp, Slack, Telegram, and more. You can take over your AI chatbot when needed, focusing on important conversations. Choose a widget and add your AI chatbot to your website in minutes. Chaindesk retrains your AI chatbot automatically when your data is updated. Extend your Agent capabilities with function calling, allowing them to call custom API endpoints when needed. Collect leads and gather your customer's data, all while providing a personalized experience. Founded in France, we respect your privacy. Your data is encrypted in transit and at rest on secure servers.
Features & Capabilities
—Train a custom ChatGPT AI chatbot on your company data.
—Customize your Agent's persona and goals.
—Deploy your chatbot to your website or existing tools.
—Monitor conversations across all channels and take over when needed.
—Import data from various sources (Notion, Google Drive, etc.).
—Build forms to collect user information conversationally.
—Handle emails through Chaindesk's dashboard with AI assistance.
—Manage all customer conversations in one shared inbox.
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Resolve 50%+ of technical issues without human involvement
Intelligent Escalation
Identify when human touch is needed and route appropriately
Example
Detect frustration, refund requests, or technical complexity → escalate to tier 2
✓
Humans handle only complex cases, improving job satisfaction and resolution quality
Architecture
Customer support agents combine LLMs with knowledge bases, ticketing systems, and escalation logic to handle customer inquiries autonomously while knowing when to hand off to humans.
LLM Core
Large language model for understanding and generating responses
