Enables building AI-powered mobile and web applications through voice conversation, without coding or API keys.
OnSpace AI is a no-code platform that allows users to create full-fledged mobile and web applications with integrated artificial intelligence capabilities simply by conversing with an AI assistant. It eliminates the need for manual coding and managing complex API keys from various providers, offering a unified environment for rapid development. The tool's primary value lies in democratizing AI application creation, making advanced technologies accessible to entrepreneurs, marketers, and content creators without technical backgrounds.
Key features include: creating applications through dialogue with AI (vibe coding), where you can describe an idea and get a working prototype; embedding powerful AI models such as Sora2 for video generation, NanoBanana Pro for image processing, and Gemini 3 Pro for text analysis without needing to enter separate API keys; a quick publishing function for finished applications to the AppStore and Google Play directly from the platform interface; and the ability to create both mobile and web applications within a single project, managing their design and logic through an intuitive visual builder.
A key differentiator of OnSpace AI is its conversational development approach and complete abstraction from technical infrastructure. The platform itself manages access to third-party AI models, freeing developers from integration and configuration costs. Technically, it provides cloud hosting for applications, tools for customizing user interfaces, and the ability to connect databases. Integrations focus on incorporating state-of-the-art AI services into finished products, making it more of an aggregator and simplifier of access to them.
Ideal for startups and small businesses wanting to quickly test an AI product idea without hiring developers; for marketers and content creators looking to automate processes or create interactive applications for their audience; and for educators and trainers developing educational tools with AI elements. Use cases include creating content generation applications (images, videos, text), chatbots with advanced logic, personal assistants, or niche services using computer vision or data analysis.
Optimizing workflows
Generating ideas and experiments
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