구형 시스템에도 AI를 탑재할 수 있나요?

네, ez2AI는 기존 시스템 수정 없이 AI를 탑재할 수 있습니다. API가 없는 레거시 시스템도 지원합니다.

데이터 보안은 안전한가요?

100% 안전합니다. 외부 인터넷 연결 없이 기업 내부에서만 작동하는 온프레미스 방식으로 정보 유출 위험이 없습니다.

개발 지식이 없어도 사용할 수 있나요?

네, 노코드 플랫폼으로 개발 지식 없이도 AI를 구축하고 운영할 수 있습니다.

어떤 문서를 지식화 할 수 있나요?

PDF, PPT, 워드, 엑셀, 이미지 파일 등 대부분의 문서 형식을 지원합니다. DB 데이터도 직접 학습/지식화가 가능합니다.

도입 기간은 얼마나 걸리나요?

기본 구축은 2-4주, 맞춤형 개발 포함 시 1-3개월이 소요됩니다. POC는 2주 내 가능합니다.

Three solutions, all extending from one organic AI core

Every ez2AI product is built on the same ez2AI-Core neural network model.

AI that designs and builds business systems
- ez2AI Builder

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A new paradigm for building enterprise systems

ez2AI-Core, a neural network model trained for six years across the systems and operations of many industries. A single plan is all it takes to complete a system.

A single plan is all it takes.

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

Builder isn't a 'dev tool' — it changes the very way enterprise systems are built. With only a plan, a system that fits your company gets built. AI takes on 70% from design to development, and expert developers finish it to your company's standards.

Conventional approach

The ez2AI Builder 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

Beyond building new systems, legacy systems can be rebuilt too.

AI knowledge-izes and reads your old databases, then rebuilds them into a modern system.

Not code — design first

The old fragmented process vs. the ez2AI Builder architecture

Vibe coding

ez2AI Builder

Skips design, jumps to code

Analyzes company knowledge, starts from design

Guesses without knowing structure

Neural network analyzes knowledge-ized company data

Invents nonexistent info (hallucination)

Neural verification blocks hallucination (95%+)

Collapses at scale / legacy

Consistent via isolated child projects

Stops at the demo

Completed all the way to operation

Knowledge-ization

The neural network model reads your documents, DB and workflows to grasp the structure.

Design

Based on that knowledge, AI directly designs screens, DB and workflows.

Verify · develop

The neural network verifies design and code, completing it to company standards.

From thorough company-wide knowledge rather than vague guesswork — beyond coding, starting with business design.

Understand the business context first, then build a tailored system

It thoroughly learns your company's unique knowledge and work processes, then derives a precise architecture.

Before kickoff — pre-learning domain knowledge

Before building, it fully learns your enterprise domain knowledge.

Company profile

Process diagrams

Process maps

Design documents

Design guide

Operation manuals

Not a general-purpose LLM, but a 'proprietary AI core that fully understands your business' leads the system design. This sophisticated domain-internalization technology is ez2AI's unrivaled core competitiveness.

System implementation — KIC (Knowledge In Context)

At the moment of architecture design and implementation, it automatically maps accumulated knowledge into context.

DB schema

Menu tree

API inventory

Naming rules

Per-menu design

Screen analysis

Prior design history

By fixing the domain context optimized for the requirements, it guarantees consistent, verified architecture deliverables.

It blocks arbitrary design from hallucination at the source. It runs on your enterprise's thoroughly verified, real data assets.

It thoroughly analyzes even decades-old legacy databases — and a new, future-ready system begins on top of them.

Perfect automation of orchestration and engineering

An orchestra AI that oversees the project and a development AI collaborate organically.

The orchestra AI analyzes requirements and controls the development engine, turning your business intent into an immediately operational system.

Requirements analysis

The orchestra AI precisely analyzes the user's request and designs the system architecture model.

Data contextualization

It combines the analyzed plan with your enterprise's unique knowledge (KIC) and standardized prompts to compose the optimal context.

Autonomous system engineering

The connected AI engine autonomously generates source code in compliance with the enterprise's architecture standards and development rules.

Self-verification & deliverable issuance

ez2AI-Core verifies the built system from multiple angles and organizes deliverables ready for final approval.

Decision

Design doc

Completion report

It doesn't stop at a simple chat log. The entire system architecting process is permanently asset-ized as decision history, formal design documents and completion reports, ensuring perfect traceability and reproducibility.

The 6 differentiating essentials of ez2AI Builder

Builder's edge, running on top of the neural network model

Tool-agnostic

Independence from any specific LLM

From commercial cloud APIs to open-source LLMs and your own in-house models, you can switch freely to fit your infrastructure, ensuring flexibility free from any AI vendor lock-in.

Zero leaks

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

By running the model directly on GPUs in your on-premises infrastructure, you can operate systems safely without external connections, even in high-security sectors like public, finance and defense.

Full isolation

Fully isolated architecture per project

When you create a new project, it auto-provisions some 70 core configuration files and fully separates data by business unit and domain, blocking mutual interference.

Custom build

Precise implementation based on in-house data

It excludes the fragmentary knowledge of general-purpose LLMs and fully reflects your enterprise's unique legacy DB structures, architecture rules and work menus to build a custom system that meets your company standards.

95%+ verified

Dual verification that controls hallucination

To prevent the hallucinations that can occur when running external LLMs, the ez2AI-Core engine precisely re-verifies data schema relationships (JOINs) and the integrity of SQL queries.

Harness coding

Compliance with enterprise guidelines

Six dedicated system prompts and six safeguards rigorously control and safely protect every build stage — from architecture core protection to testing and automatic rollback on failure.

Differentiated value, proven in numbers

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.

Any system, implemented with Builder

From MES · ERP · CRM · internal portals · data monitoring, it organically builds all of your enterprise's legacy and new systems.

The ez2AI platform itself was implemented with this Builder engine: the surest proof of its unrivaled performance.

MES

ERP

CRM

Internal portal

Data monitoring

Custom-tailored systems

Building one new screen: 20–40 min

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

Infrastructure choices optimized for your enterprise environment

Commercial cloud APIOpen-source LLMIn-house OSS model

From flexible commercial cloud API environments to fully air-gapped environments that allow not a single line of data to leak, it guarantees equally powerful performance.

From rapid system build
to autonomous maintenance

ez2AI completes your system at high speed, and afterward you can lead all maintenance and upgrades yourself through the Builder we provide.

Builder infrastructure provided

Along with the built system, we directly grant you the right to use ez2AI Builder. Build an independent operating environment with no external dependency, within the contracted architecture scope.

Customer-led autonomous maintenance

After delivery, from simple text edits to feature expansion, your in-house staff can easily and safely modify and manage the system themselves using the provided Builder infrastructure.

80% lower maintenance cost

It lightens heavy maintenance costs — self-maintenance becomes possible under the AI engine's constant guard, dramatically reducing operating costs.

ez2AI handles the high-speed custom build, while sustainable maintenance can be internalized directly with Builder.

Enterprise AI infrastructure & security you can adopt with confidence

Your core enterprise data stays thoroughly protected inside, with external exposure fully controlled.

A flexible and powerful way to run your infrastructure

Training · in-house neural network model
DGX Spark — Runs on-site (hybrid supply with integrated hardware)
Cloud inference (hybrid)
OpenRouter — Freely choose Claude·GPT·Gemini and optimize cost
On-premises inference (optional)
RTX Pro 6000 — 100% air-gapped operation, down to inference and answer generation

Rigorous data security and leak prevention

✓Originals of documents, drawings, images and meeting notes are processed in-house (leaks blocked at the source)
✓For external cloud requests, only anonymized prompts and minimal context are sent
✓Option: a fully air-gapped inference pipeline — optimized for high-security sectors such as public, finance and defense

Only rigorously refined prompts are ever sent out; your original assets and sensitive data never leave the internal network.

Step 1 — Quick start

Initial development moves quickly on general-purpose LLMs (cloud).

Step 2 — Secure transition

For operation on a real secure network, switch to air-gapped with dedicated GPUs (zero external connections).

Frequently Asked Questions

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

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