ez2AI Model
Every ez2AI product shares the same neural network model at its core.
The neural network model learns your terms, data and work patterns.
Reliability assured through full validation across 208 cases.
Delivered as a dedicated model that runs only inside, with no external network.
This same neural network model is also inside Basic and Builder.
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.
Sensitive business data such as customer information, operational data, and production databases is never included in training.
Built on the value of the unrivaled metadata accumulated over six years, we leapt to the next stage without hesitation.
Reorganized the entire company around AI
Released just 5 months after the AI pivot
Phases 1–4 in-house training complete
Proprietary AI in operation with optimized performance
Same AI model, same environment, same algorithm. When only the data differed, performance scores differed by 34.6 points. The decisive variable for performance is not the model, but the 'data'. And this data cannot be bought instantly with capital.
74,332 gold datasets that only six years of time could build. An accumulated asset that capital and manpower cannot shortcut.
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.
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.
Auto-organize work logs and defect records, classify equipment anomaly signals
Auto-classify contracts and terms, check transaction relationships
Auto-classify and route complaints, knowledge-ize regulations
Runs internally only, with no external network
Organize unstructured clinical and research records
Classify and review contract clauses
Auto-infer partner and item relationships
Automatically grasp old database structures
All that leaves is a single line of question. Your original data never leaves the company.
