Data FDE
We are pursuing the Data FDE role responsible for data cleansing and ontology-based modeling. The direction is to organize the structure and meaning of data needed for customer workflows.
An ontology network connecting organizations, companies, implementation cases and data capabilities.
We connect data cleansing, ontology-based modeling and on-site application of AI solutions within a single customer engagement.
We are pursuing the Data FDE role responsible for data cleansing and ontology-based modeling. The direction is to organize the structure and meaning of data needed for customer workflows.
We are pursuing the AI FDE role responsible for defining AI application challenges at customer sites and implementing and using workflow-specific solutions.
Ontology is an approach to modeling business objects such as customers, products, equipment and contracts, together with their relationships and business rules. It is designed to help AI understand which data to use for which work.
| Design scope | Design examples | Business significance |
|---|---|---|
| Business objects | Customers, contracts, products, equipment and orders | Define the business entities handled by AI |
| Object relationships | Contracts and customers, equipment and processes, orders and inventory | Connect the business context of distributed data |
| Rules and permissions | Business policies, access scope and execution conditions | Set the scope of recommendations and execution |
| Staff approval | Review, approval, exception handling and activity history | Incorporate human judgment into workflows |
We assess the business impact and scope of system integration, and begin applying it within the validated scope under staff review and approval.
We find the knowledge needed and provide evidence to support staff decisions.
We propose results or execution plans based on business rules for review by the responsible staff.
Within the validated scope, work is executed through approval and system integration, with a record of activity retained.
We are pursuing joint market expansion with Odoo, EDB and Cohere, connecting their technologies with B2EN’s data and AI delivery capabilities. Contract scope and application conditions are confirmed for each project.
We connect Odoo's ERP with B2EN's data capabilities to pursue implementation, integration and AI-driven workflow innovation.
We explore integration between database and enterprise AI technologies to design architectures suited to customer environments.
데이터·AI·운영 환경을 따로 떼어 놓지 않고 현장 과제에서 함께 설계하는 FDE 체계를 추진합니다.
SDQ·SMETA·SFLOW의 현장 통합, 레거시 데이터 진단과 맞춤형 ETL, 대용량 데이터 정제 및 온톨로지 모델링을 담당합니다.
기업 맞춤형 LLM·SLM 최적화, 보안 기준을 반영한 RAG 파이프라인, 프롬프트 엔지니어링과 AI Agent 운영을 설계합니다.
온프레미스·프라이빗 클라우드 배포 최적화, 망 분리와 보안 요구 대응, 고객 환경 가상화·컨테이너화를 설계합니다.
We design implementation around each customer’s challenges. Timing and scope depend on data readiness, connected systems and security requirements.
고객의 데이터 거버넌스와 인프라를 진단하고, 비투엔 솔루션의 핵심 기능으로 적용 가능성을 검증합니다.
ERP·CRM·HR 등 내부 시스템과 데이터 파이프라인을 연동하고 API를 최적화합니다.
망 분리·보안 요구를 검토하고 고객 환경에 맞춘 보안 스크리닝과 패키징을 거쳐 배포합니다.
현장 요구사항을 데이터로 구조화하고 R&D 피드백을 통해 제품과 운영을 지속 개선합니다.
Please review both the application scope and implementation stage.