AI Customer Support

Make customer support simpler and faster

24/7 AI responses with seamless handoff to human agents—free your team to focus on what matters.

No waiting—ready to use

Trusted by teams

1000+
Teams served
1M+
Conversations handled
<100ms
Response time
98%
Satisfaction

Capabilities

From models and knowledge bases to prompts, human collaboration, analytics, and logs—one cohesive system.

Multi-model AI support

Configure multiple LLM and multimodal providers; visitors and admins share one place to manage models and usage—easy to swap vendors and control cost.

Knowledge base & RAG

Ingest documents and retrieve with vectors so answers stay on-brand; replies can show whether KB, model, or web search was used for review and tuning.

Prompt engineering

Edit the prompt templates that power RAG, optional web search, and other flows across your scenarios.

Human agents & real-time collaboration

Online presence, live sessions over WebSocket, seamless handoff and teamwork; embed the visitor widget on any site.

Analytics

Daily or custom ranges for widget opens, sessions, messages, AI success/failure, KB hit rate, and more—see how operations are trending.

Structured logs

Persisted by category and event with trace_id and keyword search—trace critical paths and incidents for troubleshooting and audit.

Product screenshots

A polished UI that makes day-to-day admin work easier.

AI-CS agent workspace

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Quick start

Three steps from the repo to the visitor widget.

1

Clone & configure

Copy the .env template and fill required database and admin settings.

2

Launch

Bring up backend, frontend, and dependencies with Docker Compose (see README).

3

Embed for visitors

Mount the chat widget on your site; configure models and KB in the console, then go live.

Ready to wire AI-CS into your product?

Start from the open-source repo, or explore the online demo first.