秉紳股份有限公司秉紳股份有限公司 Bing Shen Co., Ltd.
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New ・ In-house R&D

Make AI Actually
Land in the Enterprise

AI Hub is our in-house enterprise AI platform — 11 modules across identity, model ops, knowledge, agents and document extraction — so your organization adopts AI with control, audit and scale.

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11
Modules · 5 Layers
Architecture

AI Hub Architecture

11 modules across 4 layers — enterprise AI in one platform.

LAYER 1
Platform Foundation
Accounts, SSO, RBAC, security management
001Platform Foundation
002Enterprise SSO
011Security
LAYER 2
AI Core
Model management, AI assistant, chat streaming
003Model & Provider Ops
004AI Assistants & API
005Conversation
LAYER 3
Knowledge & Workflow
Knowledge RAG, agent workflows, tool integration
006Knowledge Base RAG
007Agent Workflow
008Tool Integration (MCP)
LAYER 4
Operations & Analytics
Usage statistics and multi-dimensional reports
009Usage Analytics
LAYER 5
Vertical Applications
Smart document extraction and industry scenarios
010Agentic Doc Extraction
Modules

Eleven Modules · One Platform

Each module corresponds to clear business scenarios and technical responsibilities.

001LAYER 1
Platform Foundation
Account / Team / RBAC / Audit Log
002LAYER 1
Enterprise SSO
OIDC / SAML, forced first-login change, deactivation
003LAYER 2
Model & Provider Ops
Provider/model register, validate, rotate, toggle, configure
004LAYER 2
AI Assistants & API
Assistant/api-key CRUD, publish, share link, key usage
005LAYER 2
Conversation
Conversation/message: SSE, citations, interrupt
006LAYER 3
Knowledge Base RAG
KB / document / segment / recall-test
007LAYER 3
Agent Workflow
Workflow canvas, nodes, publish, execution log
008LAYER 3
Tool Integration (MCP)
Tool register, OpenAPI import, MCP endpoint, test, share
009LAYER 4
Usage Analytics
Multi-dim query, per-key/team usage
010LAYER 5
Agentic Doc Extraction
Templates, jobs, Agent extraction, field review, citation, export
011LAYER 1
Security
RBAC, key hash, audit, rate-limit, invitation signing
Live Demo

實際感受 AI Hub

三種企業場景示範——對話查詢、Agent 工作流自動化、智慧文件擷取。

試試這些問題
模型: claude-sonnet-4.5
知識庫: 3 · 引用: on
工具: 2 (MCP)
請列出我們在共契 LP5-114015 下已採購的筆電型號與數量
AIAI Hub · streaming
根據共契 LP5-114015，114 年度已採購以下機型：
Dell Latitude 5450120 台
HP EliteBook 840 G1148 台
Lenovo ThinkPad T1432 台
共契執行報表_114Q1.xlsx · §2
Ready?

Ready to Deploy AI?

We provide POC, private deployment, custom development and long-term support — walking with you through every step of AI adoption.

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