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Product growth platform for SaaS teams building in-app onboarding, surveys, and analytics without engineering resources.
Bundles many AI models for chat, writing, image, audio and video into one affordable credit-based app.
Open-source RAG infrastructure with SDKs and an API for developers to build accurate, cited AI chat and search on their own data.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
AI agents that monitor email, calendar, and calls to keep a CRM automatically updated, aimed at sales and revenue teams.
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- ✦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
- ✦AI chat across multiple models
- ✦AI writing and copy tools
- ✦Image generation, upscaling and editing
- ✦Document analysis and chat
- ✦Audio and video generation
- ✦Shared, rollover credit system
- ✦Managed RAG pipeline (extraction, chunking, retrieval)
- ✦Automatic source citations
- ✦Multimodal support (images, tables, graphs)
- ✦Model-agnostic: choose vector DB, embeddings, LLM
- ✦Metadata filtering
- ✦MCP server and AI SDK integration
- ✦22+ file-format ingestion
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦AI agents that auto-update the CRM
- ✦24/7 activity capture from communications
- ✦50+ app and CRM integrations
- ✦Call-transcript integration
- ✦Custom fields and workflow fit
- ✦Standard to enterprise-grade AI models
- →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
- →Producing marketing and social content
- →Generating and enhancing images
- →Summarizing and querying documents
- →Brainstorming with multiple AI assistants
- →Build a chatbot over private documents
- →Add semantic or deep search to an app
- →Ground answers in a large corpus with citations
- →Ship production RAG without building it in-house
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Keeping a CRM current without manual entry
- →Auto-capturing sales activity and context
- →Automating relationship-data workflows