A proprietary neural network core specialized for your business domain
We custom-train ez2AI-Core to your business context, then deliver it as a fully independent standalone model.
Domain-tailored data training
Fully internalizes your unique terminology, structured and unstructured data, and specialized work patterns into the neural network model.
Integrity and performance validation
Exhaustive validation across 208 carefully designed scenario cases guarantees system integrity and outstanding reliability.
Standalone secure deployment
We securely deliver a customer-dedicated model that blocks all external network connections and runs independently only on your internal network.
This same neural network model is built into both Agent and Builder.
ez2AI-Core Identity
ez2AI-Core is a model specialized in data classification and neural network connection
ez2AI-Core does not replace natural language inference. It specializes in classifying and connecting structured RDBMS metadata and unstructured 12-channel data within the same semantic space; natural language answer generation is handled in combination with public LLMs. The architecture combines the accuracy of classification and connection with the naturalness of LLM-based inference.
Area
Public LLM
ez2AI-Core
Role
Inference · natural language answer generation
Data classification · neural network connection (relation extraction)
The 6 Years of Real Data That Gave Birth to ez2AI-Core
ez2AI-Core's strength comes from its data. Over six years of delivering systems across industries and enterprises, Simbiz Korea built up standard metadata templates, prepared in advance before each delivery to accelerate development. Hand-refined by expert developers, these gold metadata sets gave rise to a neural network no one can replicate.
Not incomplete data arbitrarily auto-generated by AI, but a standard architecture verified firsthand by expert engineers. Beyond a one-off deliverable for a single project, it is Simbiz Korea's exclusive asset whose reusability and integrity have been proven across countless business sites.
1
Architecture mapping & refinement
Expert engineers directly analyze and refine business processes across diverse industries
Standard metadata templates
2
Proprietary template asset-ization
A pre-designed standard template infrastructure to shorten system build lead time, validated and refined in the field over six years
Company-wide proprietary asset
3
Neural core optimization
Intensive training on 74,332 rigorously refined gold metadata sets
An uncopyable ez2AI-Core neural network, established
74,332 gold metadata sets — uniquely Simbiz Korea's, achievable only with six years and 100+ enterprises.
Adopting enterprises don't need to build the architecture from scratch. By leveraging standard assets rigorously validated over years, they can put a high-performance system into operation immediately.
ez2AI-Core learns only the dataset structure and labels of the metadata.
All sensitive enterprise data — customer information, work data, operational DBs and more — is completely excluded from AI neural network training and rigorously protected.
Triple moat — ez2AI's unmatched competitive edge that can't be imitated
tripleMoat.quote
Data Moat
74,332 gold data sets built through rigorous field validation over six long years. An exclusive accumulated asset that can never be shortcut by capital and manpower alone.
Technology Moat
Compresses the accuracy of ontology and the automation of GraphRAG into neural network weights. Classifies and connects structured RDBMS metadata and unstructured operational data within the same semantic space.
Trust Moat
The core DB and customer DB are kept physically separated, and as a strict principle we never access the customer's real data or operational databases — fully safeguarding the enterprise's core security.
Competitors may imitate a general-purpose model, but they cannot replicate the metadata asset Simbiz Korea has meticulously built over six years.
A proprietary asset irreplaceable by capital or time — that's why ez2AI-Core makes an overwhelming difference.
Where the specialized model is used
Applications of a classification-and-verification neural network model
Manufacturing
Autonomous asset-ization of work logs and defect records; real-time classification of equipment anomaly signals
Finance
Verification of structured and unstructured terms and contract documents; tracing of complex business transaction relationships
Public · civil
Intelligent classification and optimal routing of administrative requests; building a knowledge base of vast laws and regulations
Defense · security
High-security operations with external networks blocked; optimized to run on internal-only infrastructure
Medical · bio
Company-wide knowledge asset-ization of unstructured clinical data and research archives
Legal
Clause-by-clause contract risk pre-review and precise classification of legal text data
Logistics · retail
Inference of organic relationships across global supply chains and among partners and items
Legacy modernization
Analysis of legacy infrastructure and complex aging database (DB) structures
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.
Frequently Asked Questions
Check answers to common pre-adoption questions on the FAQ page by category.
