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Enterprise AI knowledge-management platform for building a governed, searchable company knowledge hub teams actually use.
AI homework helper with scan-and-solve, file chat, quizzes, flashcards and lecture note-taking across subjects for students.
AI study toolkit for students with an AI grader, paraphraser, quiz maker, plagiarism and AI-content detectors and study documents.
Search engine giving science-based answers to medical questions.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦AI-powered search and answers
- ✦Content approval and expiration workflows
- ✦Multi-language sharing with AI translation
- ✦Templates and rich content creation
- ✦Microsoft, Slack, Google Drive integrations
- ✦ISO 27001 security, EU hosting, GDPR
- ✦Scan-and-solve homework across subjects
- ✦Chrome extension for answers
- ✦Chat with uploaded files and materials
- ✦AI quizzes and flashcards
- ✦AI lecture note-taking
- ✦AI study podcasts
- ✦AI Grader for assignments
- ✦AI Paraphraser and AI Answers
- ✦AI Quiz generator
- ✦Plagiarism checker and AI detector
- ✦AI Code Checker
- ✦Study documents library
- ✦Direct answers to health questions
- ✦Answers based on trustworthy sources
- ✦Fast search results
- ✦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
- →Central company knowledge base
- →Customer support and IT service desk
- →Onboarding and knowledge retention
- →Market watch and user insights
- →Getting step-by-step homework solutions
- →Studying from uploaded course materials
- →Turning lectures into notes and quizzes
- →Improve grades and academic writing
- →Check work for plagiarism or AI content
- →Generate quizzes and study material
- →Grade assignments faster (educators)
- →Finding quick and accurate answers to medical questions.
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app