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AI creation studio that gathers scattered notes and ideas, then helps shape them into articles, slides, videos, or webpages.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Product growth platform for SaaS teams building in-app onboarding, surveys, and analytics without engineering resources.
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Lifelike voice AI agents
- ✦24/7 availability
- ✦Customer-led conversational platform
- ✦Integration with enterprise systems
- ✦Central capture space for saved articles, videos, and notes
- ✦AI prompts that surface connections and gaps in collected ideas
- ✦Generates articles, slide decks, videos, and webpages from source material
- ✦Prebuilt style templates for slides and pages
- ✦Available as desktop app, browser extension, and mobile app
- ✦Skill and prompt library for specific creation tasks
- ✦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
- ✦No-code builder for tooltips, banners, spotlights, and onboarding flows
- ✦Event autocapture with funnel, trend, and cohort analytics
- ✦NPS, CSAT, and behavior-triggered in-app or email surveys
- ✦Unlimited session replay with rage-click and error detection
- ✦Lia AI agent that surfaces insights and can execute in-app changes
- ✦MCP server for connecting Userpilot data to other AI tools
- ✦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
- →Answering customer service calls
- →Providing information and support
- →Resolving customer issues
- →Automating call center operations
- →Creators consolidating research into finished blog posts or scripts
- →Professionals turning meeting notes into structured reports
- →Teachers converting lesson ideas into slides and video lessons
- →Product managers organizing scattered feedback into insights
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Building guided onboarding flows to improve activation
- →Announcing and measuring adoption of new product features
- →Deflecting support tickets with proactive in-app guidance
- →Spotting at-risk or expansion-ready accounts from usage data
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources