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AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
Developer-focused platform to build and deploy AI agents across widgets, messaging apps, and SDKs, with security and observability.
Voice-and-text AI agent embedded on a website that answers visitor questions and guides them toward a purchase or lead action.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
No public pricing
No public pricing
No public pricing
- ✦Fast setup trained directly on website content
- ✦Answers cited back to source content
- ✦Inbound lead capture with automated follow-up
- ✦Integrations with existing support/marketing stack
- ✦Self-improving responses over time
- ✦Build agents from datasets, skillsets, integrations
- ✦Embeddable widgets and SDKs
- ✦Messaging channels (Slack, Discord, WhatsApp, Telegram)
- ✦OAuth and MCP integrations
- ✦Bring-your-own model support
- ✦Whitelabel and custom branding
- ✦Observability, security, governance
- ✦Trains on your website data
- ✦100+ language support
- ✦GDPR-compliant, EU-hosted, cookie-free
- ✦Responses grounded in trained content only
- ✦Automatic data updates
- ✦Customizable appearance
- ✦Lead generation via email collection
- ✦Automatic site crawling to build a knowledge base
- ✦Text and voice conversation with visitors
- ✦Customizable persona and tone
- ✦SSO-based access controls
- ✦Conversation monitoring dashboard
- ✦Single-line embed code installation
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources
- →Building custom AI agents for support or leads
- →Embedding AI widgets on websites and apps
- →Deploying agents across messaging platforms
- →Automating customer support
- →Providing instant answers to customer queries
- →Generating leads by collecting visitor email addresses
- →Reducing support volume for human agents
- →Supporting customers in multiple languages
- →E-commerce sites guiding shoppers to purchase
- →Blogs/news sites making archived content searchable
- →Corporate sites answering visitor FAQs
- →Agencies deploying the widget across client sites
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents