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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.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
AI customer-support platform with agents across channels, plus AI chat, translation and writing tools.
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
- ✦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
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦AI support agents across 10+ channels
- ✦Agent copilot with answers from your knowledge base
- ✦Website live-chat widget
- ✦AI knowledge base training
- ✦Extra AI tools: translator, grammar, code review
- ✦Apps and browser extensions
- →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
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Automating customer support
- →Deflecting repetitive tickets
- →Assisting agents with suggested replies
- →General AI chat and writing help