Easy AI Platform
AI development platform — build custom AI functions and data models using natural language, no coding required
| What is it | AI development platform — build custom AI functions and data models using natural language, no coding required |
|---|---|
| Pricing | trial |
| Platform | Web Application |
| API | Yes |
| Best for | building custom AI-powered backend functions, creating structured data models for AI applications |
| Domain registered | 2016 |
Data updated Aug. 1, 2026
What does Easy AI Platform do?
Easy AI Platform is a web-based service that lets you create custom AI functions and data structures without writing complex code. Instead of wrestling with APIs and model configurations, you describe what you want in natural language, and the platform handles the rest. It supports multiple AI models including GPT-4, Claude, and Gemini, with automatic fallback if one model is unavailable. The result is a straightforward way to add AI capabilities to your applications without deep machine learning expertise.
The platform centers on two main concepts: AI Functions and Custom Objects. AI Functions are tasks you define in plain English — for example, "summarize this article" or "extract contact info from this email" — and the system generates the logic to run them. Custom Objects let you define data models (like a customer profile or product listing) that the AI can read and write to. Everything runs on Google Cloud with enterprise security (Firebase auth, role-based access), and you get 500 free AI credits when you sign up, with no credit card required.
Easy AI Platform is best suited for developers and businesses that want to embed AI features into their products quickly. If you're building a CRM that needs smart email replies, an e-commerce site that generates product descriptions, or an internal tool that automates data entry, this platform can save you weeks of integration work. The multi-model support also means you can pick the best model for each task or let the system handle load balancing. It's not a tool for training custom models — it's a wrapper that makes existing LLMs easier to use in production.
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