Build your AI-ready backend in 5 minutes. Use it as a SaaS or deploy it on-premise without limits.

Build relational data models using a streamlined visual interface

Create objects, 1-to-many links, enums, and complex hierarchical relations

Enforce data integrity with mandatory, unique, and auditable constraints

Create access groups with manual or request-based membership

Define permissions at the object level, row level (RLS), or even per-field

Flexible security model that adapts to any enterprise team structure

Effortlessly load data into your objects via Excel, JSON, XML, REST API or MCP

Built-in tools for bulk migration from legacy systems in minutes

Maintain data consistency with automated validation during import

Secure REST APIs are instantly generated for every object you configure

Formulate complex summary data using custom Java logic and wrap it into REST

Auto-generated documentation for all your endpoints

Enable "Search by meaning" across your objects using neural networks

Discover relevant information beyond simple keywords via UI or API

Optimized for large-scale data discovery and AI-ready applications

Includes MCP services for AI vibe coding and AI agents

Connect Anthropic Claude, OpenAI, Cursor, and external AI agents directly to your web application data model via Model Context Protocol (MCP)

No vendor lock-in. Host on your own AWS/GCP/On-premise whenever you want