Automated Rapid Application Development

Reduce AI token burn.
Let ARAD do the FAT part.

Your AI agent describes the app. ARAD generates, secures and deploys the backend as a live Liferay module, with no pipeline and no downtime. Your agent writes only what makes your app unique.

Zero pipeline
🔒 Auto rollback
♻️ OSGi hot-swap
🗄️ DB backup built-in
🤖 MCP native

AI can write enterprise apps. The backend burns the tokens.

On every project, AI agents regenerate the same database layer, APIs, security and workflow, then debug it. That repetitive work is where most of the cost goes.

The hidden costs of unstructured enterprise AI: token waste, debug overhead, technology stack paralysis and a fragmented application landscape

Where your AI tokens go

Most of an enterprise module is backend plumbing and controls. ARAD takes that part off your agent's plate.

Building with an AI agent alone AI writes, reviews and debugs everything
Building with ARAD AI writes only what's unique
  • Database layer
  • REST APIs
  • Validation
  • Security & audit
  • Approval workflow
  • Forms & admin screens
  • Deployment
  • Your UI & business rules

Illustrative. Proportions vary by project.

ARAD automates the heavy part

Everything that used to burn tokens is now generated for you.

ARAD automation coverage: app and module management, field and metadata definitions, validation logic, API generation, database layer, list, detail and form views, deployment automation, admin interfaces, bulk upload and download, and an MCP layer per module

From requirement to live module in four steps

Describe what you need in plain English. ARAD handles the rest inside Liferay, with no DevOps and no waiting.

01
💬
Describe

Describe the requirement in plain language to any AI agent: Claude, Codex, Cursor or VS Code Copilot.

02
🧠
Model

The agent turns it into a structured entity model: fields, relations, workflow and UI settings.

03
⚙️
Generate

ARAD generates production-grade Java, compiles it in-process and packages it as an OSGi bundle.

04
🚀
Deploy

ARAD backs up and migrates the database, hot-swaps the bundle, and the module is live. The portal never restarts.

Changes are just as quick

Say a price field has to be added to an existing form. Here's the work each way.

10 steps
Traditional or AI-coded
01DB migration 02Entity class 03Service layer 04REST API 05Form UI 06Validation 07Tests 08Commit & CI 09Deploy 10Restart portal
2 steps
With ARAD
01💬 Ask your AI agent to add the field 02🚀 ARAD generates & hot-deploys it

One model in. A complete enterprise module out.

Describe the fields your app needs. ARAD turns them into everything below.

🔌REST APISecured and ready to call
🖥️Forms & listsList, search, form and detail views
🔄ApprovalsSubmit, approve, reject, recall
🗄️DatabaseTables created and migrated safely
🧩Entity ModelFields described by your AI agent
🕘Audit historyEvery version of every record kept
🌐MultilingualTranslatable fields stored per language
🔐Encrypted PIIConfidential fields encrypted in the database
🤖MCP toolsAI agents can read and test the module

Under the hood: four production artifacts

Standard Liferay and OSGi components your team already knows how to run.

🔌
REST Microservice

Full JAX-RS REST API registered as an OSGi @Component service via the Liferay JAX-RS whiteboard. Versioned, secured, immediately consumable.

@Component JAX-RS OSGI
🖥️
Liferay Portlets

List view, search, form, and detail portlets, fully scaffolded as OSGi portlets and ready to drag onto any Liferay page.

List view Form Detail
🔄
Workflow

Kaleo workflow process definitions (approval routing, roles, notifications and transitions) generated and registered automatically.

Kaleo Approval Routing
🗄️
DB Schema

DDL migrations (CREATE TABLE, ALTER TABLE) applied with a full database snapshot before, and automatic restore on failure.

DDL Backup Rollback

Enterprise controls: built in, not prompted

These are the features that bloat AI-written code and fail audits when they're missed. ARAD includes them in every module.

Control AI alone ARAD
🛡️Role-based access on every APIPrompt & testManual✓ Built in
🕘Full audit history of recordsPrompt & testManual✓ Built in
👤Created-by & modified-by trackingPrompt & testManual✓ Built in
🔄Approval workflow & task assignmentPrompt & testManual✓ Built in
🔐Encryption of confidential fieldsPrompt & testManual✓ Built in
🌐Multilingual dataPrompt & testManual✓ Built in
Input validationPrompt & testManual✓ Built in
📋Master data & dropdown lookupsPrompt & testManual✓ Built in
Bulk upload & CSV downloadPrompt & testManual✓ Built in
🗄️DB backup & auto rollback on deployPrompt & testManual✓ Built in

Every deploy is safe and reversible

Each ARAD deployment is wrapped in a safety envelope. Schema and bundle changes are always atomic and always reversible.

🗄️
DB Backup
Snapshot before any change
📐
Schema Δ
DDL applied to database
♻️
Bundle Swap
Old uninstalled, new installed
Verify
Bundle ACTIVE health check
Live
Zero portal downtime
⚠️ Failure at any step triggers automatic rollback: the bundle is restored, the database snapshot is reverted, and the portal is unaffected.

The deployment layer vibe coding was missing

AI can write enterprise code. ARAD makes sure it actually runs in production.

⛔ No deployment path
AI code that never reaches production
✓ MCP call → live OSGi bundle
⛔ Schema drift
DB and code permanently out of sync
✓ Atomic backup → DDL → verify
⛔ Pipeline complexity
Git, Jenkins, CI/CD just to deploy
✓ Zero pipeline, in-process compile
⛔ Portal downtime
Every deploy restarts the portal
✓ OSGi hot-swap, zero downtime
⛔ Untested AI code
Bad generations break production
✓ Auto rollback on bundle failure
⛔ Unstructured output
Free-form code, hard to govern
✓ MCP enforces typed entity model

Use the AI agent you already have

ARAD exposes MCP tools, so any MCP-compatible AI agent can describe, model and deploy without touching a terminal or pipeline.

C
Claude
Anthropic
MCP native
O
Codex
OpenAI
MCP native
Cur
Cursor
AI IDE
MCP native
VS
VS Code
Copilot
MCP native
M
MCP
Protocol
Open standard

One API language across every app

Every module ARAD builds, in any app, answers the same set of calls. Developers and AI agents learn them once.

Your apps
🎓 Training portal
🗓️ Leave management
🚚 Delivery tracking
📊 Progress reporting
Same calls in every module
find findByQuery search countByQuery calculateByQuery create update createMultiple submit approve reject recall
What you gain
Frontends are built fast from the live schema
No new API to learn for each project
Fewer integration bugs
AI agents test with real data and real roles

Every benefit, at a glance

What ARAD changes for each part of your team.

1 → 4
One model, four artifacts

REST API, portlets, workflow and database schema from a single entity model.

0
Pipelines to maintain

No Git, Jenkins or CI/CD needed to get a module live.

0
Portal restarts

Modules are hot-swapped while users keep working.

1
API for every app

Every module speaks the same calls. Learn once, reuse everywhere.

The complete list

Grouped by who it helps most.

💰
Lower AI cost
For budget owners
  • Fewer tokens burned. The backend is generated, not written by AI.
  • Less debugging. Proven generated code avoids error loops.
  • AI focus stays sharp. The agent's context is spent on your real problem.
  • Predictable spend. Effort no longer grows with backend size.
Faster delivery
For project leads
  • Requirement to live module in one flow: describe, model, generate, deploy.
  • Changes in minutes. Add a field and hot-deploy it.
  • Ready-made screens. List, search, form, detail and admin views come with every module.
  • Quick legacy migration. Old tables map straight to new modules, with bulk upload for the data.
🏛️
Enterprise-ready by default
For compliance & security
  • Role-based access enforced on every service call.
  • Complete audit trail. History of every record, plus who created and changed it.
  • Data protection. Confidential fields are encrypted before they are saved.
  • Approval workflows with submit, approve, reject, recall and task assignment.
  • Multilingual content and data out of the box.
🛟
Safe deployment
For operations
  • No pipeline. No Git, Jenkins or CI/CD needed for modules.
  • Zero downtime. OSGi hot-swap, and the portal never restarts.
  • Backup first. The database is snapshotted before every schema change.
  • Automatic rollback. Any failure restores the bundle and the data.
🤖
Built for AI agents
For developers
  • MCP native. Works with Claude, Codex, Cursor and VS Code Copilot.
  • MCP tools for every module, so agents can read the schema and data.
  • Live testing. Agents check APIs with real data under real user roles.
  • One API language. The same calls work across every app and module.
🧭
Governed & consistent
For IT leadership
  • A typed entity model. No free-form, ungoverned AI code.
  • No schema drift. Database, code and documents stay in sync.
  • One standard stack. Ends framework debates and app silos.
  • Easier long-term support. Every app is structured the same way.

Don't believe it? Fair enough.
See it for yourself

Our experts from the product engineering team will show a live demo of how it works and answer all your queries and all follow-up queries down the line.