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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.
AI support agent trained on your site and docs; answers 24/7 in ten languages, books meetings and hands off to humans.
Real-time web search and content-extraction API that grounds AI agents with fresh, structured data for research and RAG.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
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
- ✦Train on website, PDFs and Q&A pairs
- ✦One-line script embed for any platform
- ✦24/7 replies in ten languages
- ✦Meeting booking via Calendly/Cal
- ✦In-chat lead capture forms
- ✦Human handoff with shared inbox
- ✦White-label widget on paid plans
- ✦Real-time web search API
- ✦Page content extraction and crawling
- ✦LLM-optimized structured/chunked output
- ✦Built-in PII and prompt-injection filtering
- ✦High-throughput, low-latency infrastructure
- ✦Drop-in integrations with major LLM providers
- ✦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
- →Automate website customer support
- →Book meetings from chat
- →Capture and qualify leads
- →Answer product FAQs from your own content
- →Grounding AI agents with live web data to reduce hallucination
- →Building research or retrieval-augmented generation (RAG) applications
- →Powering AI-driven search assistants
- →Enterprise-scale agents needing reliable web access
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents