Where your data maps power AI-driven development

The Complete Data Platform

Beyond Entity does more than define entities and relationships. It provides a comprehensive platform for data modeling, governance, and AI-driven development—all integrated in one web-based environment. From logical design to physical implementation, from data lineage to automated documentation, Beyond Entity connects every stage of your data lifecycle.
End-to-End Platform Overview
🗄️ Advanced Data Modeling
Beyond Entity supports both logical and physical data models—not just conceptual diagrams, but fully executable models directly adaptable to real, running databases. Design entities, relationships, and attributes with a powerful visual interface that handles complex database schemas with ease.
ERD Modeling Interface Logical Modeling View
🔄 Attribute-Level Data Lineage & ETL Modeling
Visualize how data attributes flow and interact across models, storages, and processors. Beyond Entity provides a unified workspace to design and trace data flows across databases, APIs, and ETL processes—allowing you to instantly see which entities or attributes are impacted when a specific attribute changes.
Data Flow and Lineage Visualization ETL Modeling Interface
📊 Automated Data Catalog
Beyond Entity provides an integrated data catalog that automatically documents and indexes all models, entities, attributes, and constraints across your entire project. Centralized schema views, unified search, and cross-system visibility ensure your catalog is always up to date.
Data Catalog Interface
🌿 Git-Native Version Control
Beyond Entity brings Git-based collaboration directly into the modeling workspace with a VS Code–style Source Control panel. Track schema evolution through an intuitive Git-style history graph, manage pull requests, and compare definitions between environments—all without leaving the platform.
Git Integration and Version Control Branch Protection and Collaborators
🗄️ Advanced Data Modeling
Design both logical and physical data models with full bi-directional sync. Apply changes directly to production databases through Git-based schema management.
🔄 Attribute-Level Lineage
Visualize how data flows across your entire landscape. Trace dependencies and understand impact before deployment with complete data lineage tracking.
📊 Automated Data Catalog
Live catalog that automatically documents and indexes all models, entities, and attributes. Search across all data stores and processors instantly.
🔐 Enterprise Security
No local files, no risk. All workspaces are securely managed in the cloud with fine-grained access control and real-time permissions.
🌿 Git-Native Workflow
VS Code–style interface with commit graphs, pull requests, and branch management. Track schema evolution with complete version history.
🤖 AI-Powered Development
Generate documentation, code, and SQL with AI assistance. Native integrations with ChatGPT, MCP, and other AI tools coming soon.
🔐 Security & Access Control
Beyond Entity ensures security through a web-based architecture—all project data, models, and Git workspaces are stored on the server, never on local machines. When a collaborator is removed, all workspace files associated with that user are automatically deleted from the server.
Collaborator Management Project Access Control and Invitations
🤖 AI-Assisted Modeling & Automation
As-Is (available today): Generate Markdown/JSON documentation for any model, entity, or processor. Use these files directly with your AI tools to generate code, tests, API specs, and SQL.

To-Be (roadmap): Native integrations for context streaming into AI agents, including MCP (Model Context Protocol) support, ChatGPT ChatKit integration, and security-aware context exposure.
AI-Assisted Development Export Data Catalog for AI Tools

🗃️ Universal Database Support

Model any type of data system—from relational to document, columnar, and key-value stores.

PostgreSQL
MySQL
Oracle
SQL Server
BigQuery
Snowflake
MongoDB
DynamoDB
Redis
Cassandra
Elasticsearch
Firestore
HBase
Databricks
Athena
And 35+ more…

From Design to Automation

Define: Create logical and physical schemas with comprehensive modeling tools
Document: Auto-generate documentation for all definitions and data flows
Visualize: See attribute-level lineage across your entire data landscape
Version: Track all changes with Git integration and pull request workflows
Automate: Generate code, tests, and SQL with AI-driven development tools

Built for Modern Teams

Developers: Web-based design documents that define all data I/O. AI-driven development using online database definitions.

Data Engineers: DataOps with Git for managing schema changes and maintaining project-level data catalogs.

Data Architects: Web-based data modeling supporting all major database types with full version control.

Security Teams: No local files for data definitions with fine-grained, real-time collaboration access control.