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AI builder that turns chat prompts into publishable native mobile apps with backend, payments and analytics; young, pricing not public.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Immersive simulations
- ✦AI-powered practice sessions
- ✦Personalized coaching
- ✦Data-driven insights
- ✦Skills gap analysis
- ✦AI coding agent that writes and edits apps
- ✦One-click publishing to App Store and Google Play
- ✦Backend via Convex or Supabase
- ✦Built-in APIs for AI inference and image generation
- ✦Integrated payments
- ✦Growth analytics
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦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
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- →Improving customer service skills through simulated interactions
- →Developing leadership competencies with practice-based scenarios
- →Enhancing sales performance through realistic sales simulations
- →Training healthcare professionals in patient communication and care
- →Preparing educators for classroom management and student engagement
- →Build a mobile app from a text description
- →Publish an app without manual coding
- →Monetize a self-built app
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals