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Turns company documents into an AI assistant that answers only from your files with citations, abstaining when evidence is missing.
AI video social-listening platform that scans social video content to surface untagged brand mentions, sentiment, and creator leads.
Personal AI agent that builds custom mini-apps and tools on request and remembers your preferences to help with daily life.
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
- ✦Grounded answers cited to source documents
- ✦Refuses to answer without supporting evidence
- ✦Supports 9 file types (PDF, DOCX, XLSX and more)
- ✦In-app chat, embeddable widget and REST API
- ✦Snippet capture and Slack message saving
- ✦Vector search over your corpus
- ✦AI video analysis of audio, visuals, and captions
- ✦Untagged brand mention and UGC detection
- ✦Creator sourcing by niche, audience, and brand fit
- ✦Outbound comment engagement tracking
- ✦Competitive benchmarking across brands
- ✦Brand sentiment and safety monitoring
- ✦Personal AI agent for daily life
- ✦Deep Memory that remembers user preferences
- ✦Builds custom tools and mini-apps on request
- ✦Personality test for personalization
- ✦Mobile app
- ✦Content and template library
- ✦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
- →Internal knowledge management
- →Employee onboarding and HR queries
- →Customer support and website FAQs
- →Technical documentation search
- →Finding untagged user-generated content about a brand
- →Sourcing creators that match specific audience criteria
- →Measuring campaign impact across social video
- →Benchmarking a brand's social presence against competitors
- →Getting personalized help with daily tasks
- →Generating small custom tools on demand
- →Building an AI that remembers your context
- →Creative writing and story generation
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app