知識先行
Knowledge first
AI 導入不應只從工具開始,而應先整理企業真正有價值的文件、SOP、流程與專業判斷。
AI adoption shouldn't start with the tooling. It should start by organizing the documents, SOPs, workflows and expert judgments that actually carry value inside the enterprise.
Anrotec 是產業 AI 應用的加值方。我們協助中小企業與合作夥伴,先把文件、流程與專業知識整理成可使用的 AI 知識庫,再從標準化 AI Discovery 與小型可驗證場景開始,逐步導入 Hybrid Edge AI 應用。 Anrotec is the AI value-add for industry. We help SMBs and partners first organize documents, workflows and expertise into a usable AI knowledge base, then start with standardized AI Discovery and small verifiable use cases — progressively adopting Hybrid Edge AI applications from there.
我們不取代基礎模型、雲端平台、硬體廠商或既有 SI / MSP,而是在大廠 AI 與 Edge 生態之上,補上產業知識、工作流程與客戶場景的應用加值。 We don't replace foundation models, cloud platforms, hardware vendors or existing SIs / MSPs. We add the application value-add on top of the major AI and Edge ecosystems — industry knowledge, workflows and customer-scenario depth.
AI 導入不應只從工具開始,而應先整理企業真正有價值的文件、SOP、流程與專業判斷。
AI adoption shouldn't start with the tooling. It should start by organizing the documents, SOPs, workflows and expert judgments that actually carry value inside the enterprise.
敏感資料優先在客戶授權環境內處理;需要雲端模型、外部工具或更高運算能力時,再依客戶設定與資料政策採用混合式部署。
Sensitive data is processed within customer-authorized environments by default. When cloud models, external tools or higher compute are needed, deployment becomes hybrid — guided by the customer's settings and data policy.
Anrotec 串接模型、平台、AI PC、GPU / NPU、Edge runtime 與 SI / MSP 服務,協助客戶把大廠技術轉化為可落地的產業應用。
Anrotec bridges foundation models, platforms, AI PCs, GPU / NPU hardware, Edge runtimes and SI / MSP services — helping customers turn upstream technology into on-the-floor industry applications.
資料轉換為知識庫的平台。協助使用者從文件、SOP、報表與日常資料開始,建立可查詢、可累積、可延伸的 AI 知識基礎。可用於 OEM 預裝、特定功能客製化,也可作為 AnroHub 導入前的知識庫準備工具。
A platform that turns data into a knowledge base. From documents, SOPs, reports and everyday data, AnroOne helps users build an AI knowledge foundation that can be queried, accumulated and extended. Suitable for OEM pre-installation, feature customization, and as a knowledge-base preparation tool before AnroHub adoption.
AI Discovery、PoC Builder 與知識深化平台。協助企業找出第一個值得做、可驗證、可擴大的 AI 專案,再逐步導入 Expert、Vision、AERI 等模組。
AI Discovery, PoC Builder and knowledge-deepening platform. AnroHub helps enterprises identify the first AI project worth doing — verifiable and scalable — then progressively bring in Expert, Vision, AERI and other modules.
Anrotec 不做系統整合 — 我們專注做加值。無論您是端終企業,或硬體 / 軟體 / SI / 通路夥伴,都能找到適合的合作模式。
Anrotec doesn't do systems integration — we focus on the value-add. Whether you're an end-customer or a hardware, software, SI or channel partner, we have a model that fits.
您多年累積的 SOP、設計規範、專業知識與流程,從此都在一個會推理的知識引擎裡。員工不再花時間找資料,而是專注於指揮 AI、改善流程。
Years of SOPs, design rules, expertise and workflows now live in a single reasoning engine. Staff stop hunting for documents and start orchestrating AI to improve workflows.
硬體品牌商預裝、軟體商或 SI 合作、通路銷售,或是終端設備 AI 化,提升良率與效能。
OEM pre-installation, partnership with software vendors or SIs, channel resale, or AI-enabling endpoint devices — driving higher yield and performance.
結合隱性知識訪談和既有重要資料與流程 RAG (檢索增強生成),融合為您的產業大腦。
Tacit-knowledge interviews combined with RAG (Retrieval-Augmented Generation) over your records and workflows — fused into your industry brain.
知識不只是查詢,透過人機對話、視覺識別、專業推理融入每日流程。
Knowledge isn't just for retrieval — conversational interfaces, visual recognition and expert reasoning weave it into daily operations.
核心 IP 建構平台基礎;AI + 專業知識與流程累積產生差異化。
Core IP forms the platform foundation; AI, combined with accumulated expertise and workflows, generates differentiation.
以 AI 輔助知識整理、流程診斷與 PoC 規劃來提供加值,以可預估的成本與更好的效益提升客戶價值。
AI assists with knowledge organization, workflow diagnosis and PoC planning — delivering value at predictable cost with better outcomes.
敏感資料優先在客戶授權環境內處理;需要雲端模型或更高運算時,依政策採混合部署。
Sensitive data is processed within customer-authorized environments by default; hybrid deployment is available per policy when cloud models or higher compute are needed.
讓已驗證的知識庫、流程與應用模式可作為後續擴展基礎,降低每次重新開始的成本。
Validated knowledge bases, workflows and application patterns become the foundation for future expansion — reducing the cost of starting from scratch each time.