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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 operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
No public pricing
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
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- ✦Voice AI with full customer context
- ✦AI-native Smart Inbox across channels
- ✦LiveCSI real-time satisfaction monitoring
- ✦Service Advisor Agent
- ✦Heat Case and Opportunity Agents
- ✦Mobile app
- ✦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
- →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
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- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app