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Builds AI agents from your knowledge base to answer customer and team questions and take actions across support, sales, and internal tools.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
All-in-one no-code platform combining forms, workflow automation, AI agents, a database and email in a single subscription.
AI-first customer-service helpdesk built around the Fin AI agent, for support teams handling omnichannel conversations.
AI-generated online encyclopedia from the Grok/xAI team where users read articles and suggest topics or edits for AI review.
Free trial available
No public pricing
Free trial available
No public pricing
- ✦Custom chatbots trained on 37+ content sources
- ✦AI actions and skills (tickets, scheduling, billing, MCP)
- ✦Website, help center, Slack, and API deployment
- ✦Lead capture and pre-sales chat
- ✦Conversation and question analytics
- ✦Multi-model support with team workspaces
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Drag-and-drop form builder with conditional logic
- ✦Workflow automation with 60+ node types and 400+ integrations
- ✦Prebuilt and custom AI agents for tasks like lead scoring
- ✦Relational database with AI-enriched columns
- ✦Drag-and-drop email builder with AI-drafted content
- ✦Company and contact enrichment and web research tools
- ✦Fin AI agent for customer service
- ✦Omnichannel agent inbox
- ✦AI-assisted ticketing
- ✦Copilot agent assistant
- ✦AI conversation insights and scoring
- ✦No-code automations
- ✦AI-generated encyclopedia articles
- ✦User article suggestions
- ✦Suggested edits with source citations
- ✦Grok-reviewed content moderation
- ✦Searchable article catalog
- →Automating customer support with 24/7 answers
- →Qualifying and capturing sales leads
- →Internal knowledge retrieval for teams
- →Research and document analysis
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Capturing and automatically routing sales leads
- →Building onboarding or support-triage workflows
- →Running AI-driven lead scoring and qualification
- →Sending personalized, data-merged email campaigns
- →Automating customer support with AI
- →Assisting human agents in real time
- →Routing and resolving tickets
- →Analyzing support quality and trends
- →Looking up AI-written reference articles
- →Suggesting new encyclopedia topics
- →Proposing corrections to existing articles