# Enta

> Enta is a high-level development platform for building enterprise applications. A professional tool for developers and technical teams who understand SQL, data binding, and application architecture. The AI assistant bridges the gap between visual authoring and code-level depth.

Enta is **not** drag-and-drop for non-technical business users and **not** a toy internal-tool builder. It targets professional developers and technical teams building data-driven business applications on existing databases. The platform combines a visual SQL expression builder, a configurable UI designer, an integrated workflow engine, first-class BI, and a unified security model on a single metadata foundation.

## Key facts

- **Category**: High-level / professional low-code development platform for enterprise applications
- **Target user**: Developers, technical architects, IT teams, system integrators, technical consultants
- **Stack**: .NET (ASP.NET Core) backend, React frontend with Syncfusion controls, linq2db for cross-database SQL generation
- **Self-hosted**: Yes, single deployment, full source/data control
- **Database support**: SQL Server, Azure SQL, PostgreSQL, Oracle, MySQL, SQLite, DB2, ClickHouse, SAP HANA, Sybase ASE, Firebird, Informix, Access, SQL CE, DB2 iSeries — same expression model targets every provider
- **AI providers**: Anthropic Claude, OpenAI ChatGPT, OpenAI-compatible providers; custom connectors on request as part of a license
- **Status**: Active development, founder licenses open; no production customers yet

## Differentiators

- **No SQL ceiling** — visual builder supports JOINs, CTEs (recursive and non-recursive), window functions, correlated subqueries, EXISTS, derived tables, SET operations
- **Works on existing schemas** — reverse-engineers your database, no migration, no data movement
- **Integrated BI** — charts, dashboards, pivot tables with drill-through, KPI cards, gauges, cross-filtering, conditional formatting, exports, scheduled delivery, materialised expressions (dynamic data warehouse)
- **Dashboards are interactive** — click a bar to open the detail page, click a row to fire a workflow, edit a record and the chart refreshes in place
- **One security primitive** — row filters and field restrictions expressed once as expressions, applied to queries, validations, forms, grids, dashboards, exports, APIs, and workflows; filters applied before aggregation so totals cannot leak hidden values through inference
- **Headless-first AI** — every configuration option exposed as a tested tool; AI agents and humans use the same contract with the same validation, security, and audit trail; round-trips cleanly through the visual designer
- **Metadata-graph refactor-safety** — every binding is a structured reference; rename a property and the platform enumerates every consumer before the change commits
- **Deployment pipeline** — configurable DEV → UAT → PROD environments with per-environment connections, the app definition as the artifact moving between stages
- **Workflow engine** — long-running orchestration with pause and resume, approvals tied to the data model, scheduled jobs, webhooks, transfer queues, custom step types on request

## Core capabilities

- Visual SQL Expression Builder with parameterised output across providers
- UI Designer with 18+ data-aware controls, declarative two-way data binding, near-native HTML-like event management, conditional logic and styling, expression-based validation, responsive layouts, predefined page templates
- Featured DataGrid: templated columns, client and server-side aggregations, grouping with subtotals, child grids, conditional formatting, Excel/PDF/CSV export, sorting/filtering/paging, inline edit, bulk actions
- Workflow Engine with 30 step types, Hangfire-backed, distributed locking, BPMN-style designer
- Integrated BI: 17+ chart types, KPI cards, gauges, drag-drop pivot tables with drill-through, cross-filtering, conditional formatting, exports, scheduled delivery, write-back on the dashboard
- Dynamic Data Warehouse — materialised expressions become reporting tables; refresh on schedule; AI suggests when to materialise; incremental refresh supported
- Six-layer security: Module / Object / Page / Component / Property / Row — deny-wins RBAC
- Migration Assistant — reverse-engineers existing database into Business Objects, generates expressions, scaffolds UI, schedules automation
- AI integration with per-user token limits, configurable schema access, tool-level permissions, full audit trail

## Demo paths

- **Demo Path 1 — Agent Sandbox (Public)**: Build a small test app from scratch with a limited set of publicly exposed tools, before connecting any real schema
- **Demo Path 2 — Upload DB Schema + Screenshots (Public / Guided)**: Upload schema and screenshots; Enta generates an app preview with pages, reports, and workflows
- **Demo Path 3 — Private Preview (Private)**: NDA-backed evaluation for organisations that cannot share schemas publicly

## Pricing

- Founder licenses currently open: buy once, self-host, includes updates for three years and founder-level support
- Future major versions are paid upgrades
- No per-user fees
- Self-hosted always available

## Contact

- Email: contact@enta-dev.net
- Private preview form: https://enta-dev.net/Demos#contact-form

## Resources

- [Home](https://enta-dev.net/)
- [Features](https://enta-dev.net/Features)
- [AI Integration](https://enta-dev.net/Features/AI)
- [Migration Assistant](https://enta-dev.net/Features/MigrationAssistant)
- [How It Works](https://enta-dev.net/Home/HowItWorks)
- [Demos](https://enta-dev.net/Demos)
- [Pricing](https://enta-dev.net/Pricing)
- [About](https://enta-dev.net/Home/About)
- [Full content for LLMs](https://enta-dev.net/llms-full.txt)