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AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
Chat-with-documents tool that summarizes and answers questions across PDFs, Office files, websites and YouTube; free tier plus plans.
Free AI summarizer that condenses YouTube videos, web articles, arXiv papers, and Reddit threads into key-point summaries.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
AI platform that converts PDFs, Word, Excel, or text into editable native PowerPoint decks with an in-app AI assistant.
No public pricing
No public pricing
No public pricing
- ✦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 PDFs and Office documents
- ✦Website, sitemap and YouTube ingestion
- ✦Automated summaries and Q&A
- ✦Reference and quote extraction
- ✦Multi-document conversations
- ✦Chat history and workspaces
- ✦YouTube video summarization with key-point extraction
- ✦Web article and arXiv paper summarization
- ✦Reddit thread summarization
- ✦Flashcard generation from summarized content
- ✦Shareable summary formats
- ✦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
- ✦Generate presentations from PDF, Word, Excel, website, or text input
- ✦AI assistant 'Charles' for rewriting, summarizing, and image generation
- ✦AI-narrated video presentations with 50+ voices
- ✦Automatic brand styling with custom templates
- ✦Multi-language translation preserving slide layout
- ✦API for programmatic presentation generation
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Research and literature review
- →Legal document analysis
- →Document summarization and Q&A
- →Project knowledge lookup
- →Students condensing long lecture videos into study notes
- →Researchers quickly reviewing arXiv papers
- →Professionals skimming long YouTube tutorials for key points
- →Content teams summarizing Reddit discussions for trend research
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Turning a report or spec document into a client-ready deck
- →Summarizing long PowerPoint or PDF files
- →Producing narrated video versions of a presentation
- →Applying consistent branding across many decks