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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.
No-code 'vibe coding' platform where users chat with AI to generate websites, apps, dashboards, prototypes, and games.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
No public pricing
Free trial available
No public pricing
No public pricing
No public pricing
- ✦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)
- ✦Collection of MCP Servers
- ✦Search and discovery of MCP Servers
- ✦MCP Client directory
- ✦Community platform for sharing and learning about MCP Servers
- ✦Chat-based AI website, app, and game generation
- ✦AI dashboard generator with charts wired to data sources
- ✦Figma-to-code conversion for production-ready pages
- ✦Internal tools builder for CRMs, HR systems, and trackers
- ✦Automatic error detection and fixing
- ✦Built-in database and API with no separate key setup
- ✦Credit-based 'Rewind' system to redo attempts without losing all credits
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- →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
- →Enhancing AI capabilities by connecting to external data sources and tools
- →Integrating AI models with various services like databases, APIs, and file systems
- →Building AI applications that can access real-time information and perform actions
- →Connecting Claude to MCP servers to access external data sources and tools
- →Non-developers building a landing page or prototype from a description
- →Converting a Figma design directly into a live website
- →Creating internal business tools without hiring developers
- →Building simple games or experimental creative web projects
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions