From data to decisions, from decisions to action

From organizing data to enabling AI to understand and execute work. We are expanding from B2EN's existing business foundation.

We bring our data consulting and system implementation experience across the public, financial, telecom and manufacturing sectors, together with our proprietary solution lineup, to the starting point of our AI business.

We define the work to be addressed before choosing the technology to adopt. We evaluate search accuracy, processing time, user adoption and operating costs together.

1. 01

   Data understanding

   We identify the location, quality, meaning and access permissions of the data needed for the work.

2. 02

   Decision support

   We design answers, analyses and recommendations grounded in business knowledge and rules.

3. 03

   Workflow integration

   We connect existing business systems and execution procedures under the review and approval of the responsible staff.

Starting with search and answers grounded in internal enterprise data, we expand into report writing, regulatory review and business system integration. We design enterprise-specific GenAI environments based on HYPERGLORY and data governance.

HYPERGLORY-based · Workflow expansion direction

B2EN's proprietary RAG platform integrates diverse internal data, including documents, reports, emails, video and RDBs, and supports business knowledge use and decision-making based on retrieved information.

B2EN HYPERGLORY official introduction · 2025.11.25

Starting with knowledge search, we design data, workflows and operations together. The following outlines service expansion directions that connect existing products with on-site implementation capabilities; the scope is defined for each project.

New services are designed to make use of existing systems. Connections and functions at each layer are validated in the customer's environment.

The following are examples for evaluating adoption. They are separate from past implementation cases; capabilities and outcomes are validated using customer data.

Rather than promise uniform implementation timelines or outcomes, we first assess data readiness and the scope of system integration for the work.

1. 01

   Business and data assessment

   We define the work to be addressed, users, data scope, security requirements and success criteria.

2. 02

   Limited-scope validation

   We validate search and answer quality, permissions and user experience using representative questions and workflow scenarios.

3. 03

   Workflow integration and operational expansion

   We validate approval procedures and system connections, and incorporate quality, usage and cost metrics into operations.

We are pursuing joint development of Secure AI Models tailored to each enterprise’s domain data and workflows. Not all capabilities are currently available.

Detailed information on our past projects, clients and solutions remains available.

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