A Custom AI System for Your Business, Faster and More Cost-Effectively

Build an AI system tailored to your workflows and existing systems—faster and more cost-effectively than traditional custom development.

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A new paradigm for building enterprise systems

A single plan is all it takes.

We build a system optimized for your company, with a high level of completeness.

Conventional approach

The ez2Builder approach

Long cycles of analysis and design

One plan → the neural network model reads it and designs instantly

Scales with headcount

AI auto-produces 70% of design and code

Varies by individual skill

Neural verification + human QA & security audit

Depends on staffing

Builder included → your team runs it with AI

Full rebuild

AI knowledge-izes, reads, and converts it into a modern system

People step away from writing code and focus on the higher-value judgment of planning, QA, and security audit.

AI writes the code. People make the calls.

Auto-produces design, DB, screens, and code. (about 70%)

People

Focus on planning · QA · security audit.

A more complete, production-ready system

How ez2Builder builds enterprise systems

See how a tailored system is completed based on your project plan.

Any system can be built with Builder

From MES · ERP · CRM · internal portals · data monitoring and more, you can quickly build all of your enterprise's legacy and new systems.

MES

ERP

CRM

Internal portal

Data monitoring

Custom-tailored systems

Faster development, higher completeness, lower cost

From design to autonomous implementation — the overwhelming business impact of an AI platform

Lower development cost

Precise design that reflects your unique domain knowledge eliminates needless trial-and-error and rework at the source.

Faster development

From requirements analysis to component implementation, an autonomous architecture engine dramatically shortens system build lead time.

Maintenance cost cut

A dependency-free, autonomous Builder infrastructure is included, so you manage and flexibly upgrade systems in-house without relying on outside vendors.

Operational completeness

AI fully takes over repetitive implementation while people focus only on high-value decisions like planning review and security audits, ensuring defect-free systems.

* Based on in-house projects; varies by scale and scope.

Build one new screen in an average of 30 minutes or less

It performs the entire process at once — from requirements-based architecture design to source-code implementation, DB mapping and QA testing.

Understand your company's unique knowledge and business context, then build

We do not mass-produce systems filled with unnecessary features. We build the tailored system your business actually needs.

Before project kickoff · Learn company workflows

First, we fully learn your enterprise domain knowledge

Company profile

Process diagrams

Process maps

Design documents

Design guide

Operation manuals

...

It is not an AI with only general knowledge. A dedicated AI that understands your company's documents and work procedures supports system design. It understands the work accurately from the start of the project, reducing omissions and differences in interpretation.

System design · Automatically connect knowledge

Automatically connect the information needed for design and development

DB schema

Menu tree

API inventory

Naming rules

Per-menu design

Screen analysis

Prior design history

...

Based on existing materials and real operational data, it connects menus, screens, functions, and work rules to shape the design. AI does not make arbitrary guesses; it produces consistent results based on verified company information.

Analyze existing systems · Transition to the future

Even legacy systems are accurately analyzed and redesigned as new systems.

DB structure

Data relationships

Existing functions

Data quality

Integrated systems

User permissions

...

It analyzes existing databases and work structures to identify every required data element and function. Rather than copying the existing system as-is, it transitions to a more efficient structure suited to current requirements.

The 6 core differentiators of ez2Builder

The Builder advantage, built on your neural model and enterprise knowledge

Tool-agnostic

Independence from any specific LLM

Choose commercial cloud APIs, open-source LLMs or in-house models to match your infrastructure and security requirements. Stay flexible without being locked to a single AI vendor.

Air-gapped

A fully air-gapped network that blocks leaks at the source

Run the model directly on GPUs in your on-premises infrastructure. Even in high-security sectors such as public services, finance and defense, systems can operate without external connections.

Project isolation

A fully isolated architecture for every project

When a new project is created, around 70 core configuration files are provisioned automatically. Data is separated by business unit and domain to prevent cross-project interference.

Custom build

Precise custom implementation based on in-house data

It does not rely on general-purpose LLM knowledge alone. It reflects your unique legacy DB structures, architecture rules and work menus to build a system aligned with your company standards.

Dual verification

Dual verification that controls hallucination

Even when external LLMs are used, ez2AI-Core re-checks data-schema relationships (JOINs) and SQL query integrity to reduce hallucinations and incorrect results.

Harness coding

Harness coding that follows enterprise guidelines

Six dedicated system prompts and six safeguards control the entire build process — from architecture protection to testing and automatic rollback on failure.

From requirements analysis to development and verification, all at once

An AI that manages the project and an AI that builds the system divide their roles and collaborate through an orchestra AI approach

Requirements analysis

It identifies the functions users need and the business purpose behind them. It organizes the required screens, functions and data structure to create the system's foundation.

Apply company work standards

It connects the requirements with company materials, operating rules and existing system information. It establishes development standards for the real work environment, not a generic one.

Automated system development

The AI development engine automatically generates screens, functions and source code from the approved design and company standards. The same design principles and development rules apply across the project.

Verification and deliverables

It checks the completed system in multiple stages to identify functional errors and design omissions. Once verification is complete, it organizes the design document, development results and completion report.

Requirements summary

System design

Completion report

Enterprise AI infrastructure & security you can adopt with confidence

Choose an operating model that fits your environment and keep important data protected.

Choose an AI operating model for your environment

Cloud-based
Build and operate quickly using external AI models.
- Choose from a range of AI models
- Minimize the initial build burden
- Flexible costs based on usage
On-premises
Operate AI and data directly on servers inside your company.
- Protect in-house data
- Air-gapped operation available (optional)
- Build to match security policies
Hybrid
Process important data in-house and use cloud AI only where needed.
- Balance security and performance
- Choose the environment by task
- Move to in-house operation step by step

Block external exposure of important data

Original data is processed in-house
Original documents, drawings, images, and meeting notes stay inside the company for processing.
- Process originals in-house
- Documents · drawings · images · meeting notes
- Control processing location
Send only necessary information to external AI
When external AI is used, only content with personal and sensitive information removed is sent.
- Remove sensitive information
- Minimize transfer scope
- Manage external AI usage
Run the entire process in an air-gapped environment when needed
Even when internet access is restricted, work can be processed on internal servers and secure networks.
- Restricted internet access
- Process on secure internal networks
- Optional air-gapped operation

Find the right way to start for your company

Start with the approach you need, from a standard platform and safety management to custom builds and a core model.

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Frequently Asked Questions

Check answers to common pre-adoption questions on the FAQ page by category.

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