Without modifying legacy systems, from the moment you start working, knowledge is automatically accumulated and AI handles your tasks
ez2AI
ez2AI
Key Features & Adoption Stages
See ez2AI's core features and adoption stages at a glance.
Barriers to Enterprise AI Adoption
Replacing/modifying legacy systems
incurs enormous costs
Concerns about sensitive
corporate data leakage with external AI
Hallucination:
False answers presented as facts
Data cleansing alone takes
months of preparation costs
Without AI experts or budget,
building and operating AI is impossible
Solve AI adoption challenges with ez2AI
Reduce costs, protect data, and get accurate answers. Seamless AI transition is possible with ez2AI.
Before
Cost Issues
High costs for AI adoption/legacy replacement
After
Add-on Architecture
Reduce deployment costs by simply adding to existing systems
Before
Security Issues
Corporate data leaking externally
After
On-Premise Installation
Complete security with internal installation option
Before
Hallucination Issues
Responding as if lies were facts
After
ez2AI 4 Core Technologies
High-precision answers with ez2AI's proprietary technology
Before
Data Preparation Barrier
Months spent on data cleansing alone
After
Auto Knowledge Building While Working
Start immediately without data preprocessing
Before
Lack of AI Expertise
Impossible to build without AI specialists or budget
After
Drag-and-Drop AI for Everyone
Build AI features with clicks, no coding required
ez2AI Package Plans
Start right now with the package that fits your company.
Package Comparison
Module
Feature
Starter (SaaS)
Premium (On-Premise)
AI Task Mgmt
AI MessengerAI CalendarAI Doc ScanAI Card ScanAI Image AnalysisAI Meeting NotesTasks/Feed
Knowledge
Docs (PDF·HWP·Office)WebsiteCrawlingDB SchemaDB Agent
AI Agent
AI ChatAI Task AutomationAI ReportsAI Alerts
AI Builder
Project MgmtAnalysis/DesignDB DesignVibe Coding
—
Usage Limits
Daily Inference Tokens
250K tokens
Unlimited
Daily Knowledge Tokens
50K tokens
Unlimited
Disk Storage
100GB (per tenant)
Unlimited (own server)
Excess Token Charge
₩0.003/token
None
Infra & Security
Deployment
SaaS (Cloud)
On-Premise (Own Server)
Air-gapped Operation
—
File Protection
Fully protected on ez2AI server
Fully protected on client server
Data Sent to LLM
Minimal query-related text only
Can be fully blocked
Key Features & Adoption Stages
See ez2AI's core features and adoption stages at a glance.
Level 1: AI Task Adoption
No workflow changes needed,
auto-knowledge building while working
Level 2: Knowledge & Agent Setup
Based on accumulated work data,
selectively supplement gaps with precision
Level 3: Full AI Transition
AI task automation with Builder for
your own custom system
AI Tasks
Within 1 month
- Start AI task management
- Data collection
- Auto knowledge building
Auto Knowledge
1-2 months
- DB schema knowledge building
- Key document screening
- Specialized document knowledge
AI Agent
3-4 months
- AI agent setup
- AI task automation
- AI reports & alerts
AI Builder
After 6 months
- Custom AI Builder development
- Internal AI capability building
- Company-wide AI transition
Level 1: AI Task Adoption
No workflow changes needed, auto-knowledge building while working
Level 2: Knowledge & Agent Setup
Based on accumulated work data, selectively supplement gaps with precision
Level 3: Full AI Transition
AI task automation with Builder for your own custom system
AI Tasks
Within 1 month
- Start AI task management
- Data collection
- Auto knowledge building
Auto Knowledge
1-2 months
- DB schema knowledge building
- Key document screening
- Specialized document knowledge
AI Agent
3-4 months
- AI agent setup
- AI task automation
- AI reports & alerts
AI Builder
After 6 months
- Custom AI Builder development
- Internal AI capability building
- Company-wide AI transition
Level 1: AI Task Adoption
No workflow changes needed, auto-knowledge building while working
AI Tasks
Within 1 month
- Start AI task management
- Data collection
- Auto knowledge building
Level 2: Knowledge & Agent Setup
Based on accumulated work data, selectively supplement gaps with precision
Auto Knowledge
1-2 months
- DB schema knowledge building
- Key document screening
- Specialized document knowledge
AI Agent
3-4 months
- AI agent setup
- AI task automation
- AI reports & alerts
Level 3: Full AI Transition
AI task automation with Builder for your own custom system
AI Builder
After 6 months
- Custom AI Builder development
- Internal AI capability building
- Company-wide AI transition
4 Core Technologies
Node-level Precision Data Mapping
: Precision Data Targeting
Traditional RAG/AI processed vast amounts of data, often leading to false answers or long response times. ez2AI pinpoints only the necessary data, reducing search volume by 417 times.
Workflow-based Multi-step Processing
: Anyone Can Create AI Workflows
No complex design or professional programming knowledge required. Simply drag and drop the functions you want, and you can arrange the AI's workflow to your liking.
Data Source Card System
: One-Click Data Connection
No need to worry about which data to have the AI convert to knowledge. Without complex classification work, simply drag the prepared data cards and they connect instantly.
Automatic Data Knowledge Conversion
: Real-time Self-Knowledge Conversion
No need to wait hours or days for the AI to learn new information. As soon as you add data, the AI learns it automatically and applies it to work immediately.
Beyond RAG, ez2AI's Specialized Knowledge Conversion Technology
Unlike simple embedding RAG, ez2AI doesn't just vectorize data sources. It analyzes the structure, relationships, and context of each source to convert into knowledge that AI can truly understand.
Standard RAG
ez2AI
Processing Method
Text to vector conversion only
4 Core Technologies
Knowledge Level
Surface-level meaning capture
Structure, relationship, and semantic meta-knowledge conversion
Tech Stack
Single embedding model
4 knowledge conversion pipelines + composite stack
Data Source
Single type (mainly documents)
Documents, websites, databases
Output
Vector list
Structured knowledge base for LLM utilization
LLM Processing
Word-matching level
Accurate reasoning based on structure, meaning, and knowledge
Ontology vs Graph RAG vs ez2AI
Experience practical AI that can be immediately applied to your business without complex implementation periods and massive costs.
Ontology
Graph RAG
ez2AI
Implementation Period
10-12 months
6-12 months
1-3 months
Dedicated Personnel
4 people
3 people
No additional needed
Learning Curve
Very High
High
Low
Maintenance
Complex
Complex
Easy (GUI)
Real-time Integration
Difficult
Difficult
Easy (DB Integration)
ROI Realization
After 1 year
6 months-1 year
Within 3 months
Accuracy
96-98% (theoretical)
93-95% (theoretical)
93-96% (measured)
No Hallucination with ez2AI
Going beyond the limitations of general LLMs, we guarantee near-perfect reliability through internal corporate data knowledge conversion.
General LLM
Generic data learning model
0%Accuracy
Over 20% false answer responses
Presents false answers as if they were facts
Weak specialized knowledge due to generic data training
ez2AI
Enterprise-specialized custom model
0%Accuracy
Over 96% accuracy in answer responses
Remaining 4% simply doesn't answer, no false responses
High reliability through industry-specific internal data knowledge conversion
ez2AI Adoption Effects
From quality management to decision-making, we completely eliminate bottlenecks throughout your business processes.
ez2AI General EnterpriseAdoption Effects
Item
Before
After
Improvement
Quality Issue Resolution
5 hours
1.5 hours
70% Reduced ▼
Report Generation
4 hours
1.5 hours
62% Reduced ▼
Decision Making Speed
3 days
1 day
66% Reduced ▼
ez2AI Manufacturing SiteAdoption Effects
Item
Before
After
Improvement
Defect Rate
57%
20%
65% Reduced ▼
Defect Analysis
30 min
2 min
93% Reduced ▼
Cycle Time
39 min
36 min
7% Reduced ▼
Operation Rate
92.5%
95%
2.5% Increased ▲
Tool Replacement Prediction
N hours
LIVE Real-time
Instant Response ▲
ez2AIAI for companies, exceeding limitations.
ez2AI
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