Codata is an AI-native backend platform that converts plain-English product descriptions into production-ready backends, including typed data schemas, REST endpoints, authentication, and hosted Postgres storage. The platform enables continuous evolution of the data layer without manual migrations, allowing AI-generated apps and human teams to iterate rapidly. It integrates directly with IDEs, agents, and HTTP clients for streamlined development workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Building and maintaining a backend—data schemas, API endpoints, authentication, and storage—is time-consuming and error-prone, especially for AI-generated applications that need to iterate quickly. Traditional backend tools require manual schema design and migration management, which slows down development and breaks when product requirements change frequently.
Solution
Codata provides an AI-native backend platform that turns plain-English product descriptions into a production-ready backend, including a typed data schema, REST endpoints, authentication, and hosted Postgres storage. The platform continuously evolves the data layer alongside the product, eliminating the need for manual migrations and ensuring that changes don't break existing functionality. Developers can describe their product in natural language and receive a live API, which can be used directly from an IDE, an AI agent, or any HTTP client. This approach enables both AI-generated apps and human teams to ship and iterate at the same speed, reducing backend development overhead significantly.
Target Audience
Primary customers are software developers, AI application builders, and product teams who need to rapidly prototype and iterate on backend infrastructure without manual schema management.
Features
- Natural language processing that converts product descriptions into a typed data schema and REST API endpoints
- Managed Postgres storage with automatic schema evolution and no manual migration requirements
- Built-in authentication and hosted infrastructure, eliminating the need for separate backend setup
- IDE and agent integration, allowing use directly from development environments or AI coding tools
- Comparison resources against Supabase, Firebase, and Neon, highlighting differentiators in AI-native workflow