Expanding the customer base
Connect the data utilization challenges of existing public sector, finance, telecommunications and manufacturing customers to AI transformation initiatives.
INVESTOR RELATIONS · GROWTH STRATEGY
Becoming an AI Full Stack company built on data expertise
We introduce a growth direction that connects AI platforms, on-site AX, AI infrastructure and the digital economy, building on the customers and technologies of our existing data business.
01
Growth starts with the data capabilities we have built
B2EN aims to expand the experience it has gained in data consulting, big data and data solutions into AI businesses. We explain how our existing capabilities can translate into customer value and business models, rather than presenting revenue forecasts for new fields.
Using our own platforms
Use our data management solutions and HYPERGLORY to strengthen the connection between projects and products.
On-site implementation and operations
Aim for lasting customer relationships by connecting on-site FDE applications with the planned development of AIDC operations.
02
Four pillars of growth
We aim to expand our growth base through partnerships, AI delivery, infrastructure operations and digital payments. Each business progresses according to its own development stage.
01 · Global AI partnerships
Pursue joint market entry and customer acquisition with Odoo, EDB and Cohere.
02 · AIDC construction and operations
Review participation in the Jeonnam–Gwangju Kakao consortium and the direction for GPU infrastructure and AI cloud operations.
03 · FDE-based AX
Pursue AI transformation for existing customers, tailored implementation and consulting, and wider adoption of HYPERGLORY.
04 · Digital finance and Web3
Pursue new digital economy models, including the combination of Binance Pay-based payments and AI data analytics.
03
Enterprise GenAI connects our data and AI businesses
Starting with HYPERGLORY's use of internal enterprise knowledge, we design business AI for each company by combining data quality, metadata, collection integrations and portals.
Built on existing products
Connect the roles of SDQ, SDQ for AI, SMETA, SFLOW, SPORTAL and HYPERGLORY.
Explore related businessesDirection for business workflow expansion
The direction is to evolve from search and answers to support for documents, policies and reports, and to connecting agents with business systems.
Explore related businesses04
Turning implementation experience into lasting customer value
We aim to extend project delivery into licensing, subscriptions and operating services. Actual revenue composition and recurring revenue share must be verified in finalized financial reports.
| Business area | Customer value | Target revenue model |
|---|---|---|
| Data and AX implementation | Data preparation, AI initiative design and system implementation | Consulting and implementation projects |
| Data & AI solutions | Productizing quality, governance and knowledge utilization | Product supply and maintenance |
| ERP and business AI | Connecting business processes and progressively enhancing capabilities | Expanding implementation, maintenance and subscription services |
| AI infrastructure | Providing operating environments for AI services | Pursuing infrastructure supply, operations and long-term services |
| Digital economy | Combining payments with data-based services | Pursuing payment and AI data service models |
05
The context for shifting our revenue model
Revenue and operating results for 2023–2025 are shown below. Alongside the decline in performance and losses, we are pursuing improved profitability in data services and commercialization of new AI businesses.
| Year | Revenue · KRW 100 million | Operating profit/loss · KRW 100 million |
|---|---|---|
| 2023 | 320 | -25 |
| 2024 | 251 | -26 |
| 2025 | 146 | -67 |
Rounded figures from the original materials; see the business report for the latest finalized figures.
06
Distinguishing results from targets
Order information for the first and second halves of 2026 is shown below. Orders and revenue are different measures, and targets are not finalized results.
| Item | Information presented in the IR materials | Status |
|---|---|---|
| First half of 2026 | Achieved order intake: 77 (KRW 100 million) | Order intake result reported in the IR materials |
| Second half of 2026 | Order intake: 88 (KRW 100 million) | Target stated in the IR materials |
| AIDC operating schedule | Considering a commercial service launch in 2027 (TBD) | Planned, unconfirmed schedule |
07
Growth strategy needs to be assessed through execution metrics
Rather than assuming results from future businesses, it is important to verify whether customer adoption and operations actually materialize. The following perspectives help assess strategy execution.
GenAI · Use in real business workflows
Check whether commercial customers, active users, answer quality and business use are growing or improving.
FDE · From validation to operations
Check whether on-site validation initiatives move into actual operations and lead to follow-on customer projects.
AIDC · Defining implementation conditions
Check confirmed investment, procurement and operating conditions, construction progress and contracted customers.
Business structure · Ongoing revenue
Check whether a foundation for ongoing revenue is being built through solution maintenance, operations and subscriptions.
08
Review past results and disclosure materials together
Alongside our new growth direction, we continue to provide information on completed projects and customers, as well as business and audit reports.
Proven project experience
Explore the customers and projects of our existing data business.
Explore related businessesIR materials and financial information
Browse our existing IR archive and financial materials together.
Explore related businesses09
데이터 기업에서 글로벌 AI 플랫폼 기업으로
These are phased growth objectives and initiatives planned in July 2026. The years and initiatives below do not indicate current completion or confirmed delivery schedules.
2026–2027 · 사업 기반 구축
Odoo·EDB·Cohere 기반 AI Full Stack 구축, FDE 조직과 AI 구축 사업 확보, 전남·광주 AI 데이터센터 참여 및 Binance Pay 사업화를 추진합니다.
2028–2029 · 사업 확대
글로벌 파트너 기반 시장 확대, AI 데이터센터 운영·MSP 확대, 기업용 AI 구축 확산과 전략적 사업 결합을 지향합니다.
2030 이후 · 플랫폼 고도화
Enterprise AI Platform 고도화, 라이선스·구독 매출 확대, Web3 사업과 해외 전략 파트너십 확장을 지향합니다.
Includes forward-looking information.
10
프로젝트 경험을 플랫폼과 운영으로 확장합니다
기존 데이터 구축 사업을 유지하며, 구축 이후에도 고객의 활용과 운영을 지원하는 사업 구조를 추진합니다.
AI 플랫폼 라이선스
구축한 AI를 지속 활용할 수 있도록 플랫폼 공급과 연간 사용 모델을 확대하는 방향입니다.
FDE 운영 서비스
현장 운영과 피드백을 연결하는 지속적인 엔지니어링 서비스 계약을 지향합니다.
AI 인프라 서비스
GPU 기반 서비스와 AI 운영 환경을 연결해 장기 서비스 기반을 확보하는 방향입니다.
Contract values and margins are distinct from finalized results.
Strategies, targets and timelines may change during implementation.
Explore the next possibilities of data with us.
Please review both the application scope and implementation stage.