香港 · 數碼港培育企業 Hong Kong · Cyberport Incubatee

與 AI 共存， Living with AI. 迭代構建未來。 Built Iteratively.

人工智能正在深刻改變各個行業的創新、運營與發展模式。

Artificial Intelligence is transforming how organizations innovate, operate, and grow.

Arrogate Maker 助力企業通過迭代開發與持續學習，設計、構建並部署 AI 解決方案。

At Arrogate Maker, we help organizations design, build, and deploy AI solutions through iterative development and continuous learning.

因為在 AI 時代，上線只是開始。

Because in the AI era, launch is only the beginning.

探索我們的理念Explore Our Approach 聯絡我們Contact Us

2018

成立年份Founded

數碼港Cyberport

∞

持續迭代Iterating

向下滑動Scroll

理念與方法論Our Approach

AI 迭代開發框架The AI Iteration Framework

AI 系統透過用戶、數據與開發之間持續的反饋循環不斷完善。上線只是開始——真正的價值在每一輪迭代中逐步釋放。

AI systems improve through continuous feedback loops. Launch is only the beginning — real value is unlocked through every iteration cycle.

Discover

探索機遇 · Discover

Identify real opportunities where AI creates genuine value — through stakeholder interviews, data mapping, and problem framing.

透過持份者訪談、數據圖譜與問題框架，識別 AI 能真正創造價值的機遇所在。

›

Prototype

原型驗證 · Prototype

Build fast, testable prototypes. The goal is accelerated learning before committing to full development.

快速構建可測試的原型，在全面開發前加速學習，降低決策風險。

›

Deploy

部署上線 · Deploy

Launch into real-world environments. Every deployment is the beginning of the learning phase, not the end of the project.

向真實用戶環境部署。每次上線是學習階段的開始，而非專案的終點。

›

Learn

學習分析 · Learn

Collect feedback rigorously. What users actually do reveals far more than what they say.

嚴謹收集反饋，分析系統表現。用戶的真實行為，遠比言辭更能揭示真相。

›

Iterate

持續迭代 · Iterate

Refine based on real insights. Small, consistent improvements compound into transformative outcomes.

根據真實洞察持續優化。微小而持續的改進，隨時間累積為根本性的突破。

›

Discover

探索機遇

Identify real opportunities where AI can create value through deep research, stakeholder interviews, and opportunity mapping.

透過深度研究、持份者訪談與機遇圖譜，識別 AI 真正能創造價值的機會。

Prototype

原型開發

Build rapid prototypes to validate ideas — not to be perfect, but to learn fast. Speed of learning is the real competitive advantage.

快速構建原型以驗證想法——目標不在完美，而在快速學習。學習速度才是真正的競爭優勢。

Deploy

部署上線

Launch solutions into real-world environments with real users. Every deployment is a learning opportunity, not an endpoint.

將解決方案部署到真實用戶環境。每次上線都是學習的起點，而非終點。

Learn

學習分析

Collect feedback and analyze system performance. Turn raw data into actionable insights that guide the next cycle.

嚴謹收集反饋並分析系統表現，將原始數據轉化為指導下一輪迭代的可行洞察。

Iterate

持續迭代

Continuously improve the system based on what was learned. Small improvements compound into transformative results over time.

根據所學持續優化系統。小步改進日積月累，終將帶來根本性的轉變。

MVP Is the Starting Point

MVP 是起點，不是終點

MVP Is the Starting Point

The first version validates assumptions. Perfection comes through iteration, not upfront planning.

第一個版本的使命是驗證假設。完美源於迭代，而非事前規劃。

Data Driven Decisions

以數據驅動決策

Data Driven Decisions

Real usage data guides each iteration. User behaviour reveals far more truth than user opinion.

真實使用數據指引每次迭代。用戶行為揭示的真相，遠超用戶言辭。

Lower Risk Through Iteration

迭代降低風險

Lower Risk Through Iteration

Small releases surface problems early — before they become expensive to fix.

小步發布讓問題提早浮現——在代價高昂之前得以修正。

我們的服務What We Do

服務範疇Services

專為真實世界打造的 AI 解決方案——迭代設計，持續優化。

Practical AI solutions built for the real world — iteratively designed, continuously improved.

構建Build

AI 產品開發

AI Product Development

為您的行業量身設計並構建 AI 驅動的平台，從數據管道到用戶界面，全程端對端服務。

Design and build AI-powered platforms tailored to your domain. From data pipelines to user interfaces — end-to-end.

整合Integrate

AI 系統整合

AI Integration

在不影響現有業務運作的前提下，將 AI 能力無縫整合至您的系統，強化既有優勢。

Integrate AI capabilities into your existing systems without disrupting operations. Augment what you already have.

策略Strategy

AI 策略及顧問

AI Strategy & Consulting

協助企業制定符合業務目標、團隊能力及市場動態的 AI 採用策略。

Help organizations define AI adoption strategies aligned with business goals, team capacity, and market dynamics.

轉型Transform

敏捷 × AI 轉型

Agile × AI Transformation

運用成熟的敏捷與 Scrum 實踐，幫助團隊以迭代方式構建 AI 系統。

Enable teams to build AI systems iteratively using proven Agile and Scrum practices — speed without chaos.

示範案例Case Study

迭代如何在實際中運作How Iteration Works in Practice

以下是 Arrogate Maker 開發的 AI 小學中國語文學習平台的示範——古韻今聲，展示我們如何將迭代開發框架應用於真實教育場景，從零打造出面向 KS1 及 KS2 學生的中文學習工具。

A real-world example: Arrogate Maker's AI-powered Chinese learning platform built for Hong Kong primary schools — demonstrating how our iterative framework transforms education challenges into measurable outcomes.

古韻今聲

EchoVerse

AI 教育平台AI Education Platform 香港小學HK Primary School 中國語文Chinese Language 建議篇章Recommended Passages 教育局 EDBEducation Bureau EDB

01📋

Concept Intake & Assessment

概念接收與初步評估

School Submits Vision → Feasibility Evaluation

學校提交構想 → Arrogate Maker 評估可行性

The school submits their teaching philosophy, target users, and desired features. Our team conducts a technical feasibility assessment, market positioning analysis, and alignment study with Hong Kong Education Bureau curriculum guidelines.

學校把教學理念、目標用戶和期望功能提交給我們。我們的團隊對概念進行技術可行性評估、市場定位分析，以及與香港教育局課程方針的對接研究。

02🎙️

Deep Requirements & Validation

深度需求訪談與核實

Multiple Rounds of Interviews → Finalised Requirements

多輪訪談 → 需求文件定稿

The most demanding early-stage phase for both parties. Through multiple sessions, we translate the school's educational language into actionable technical specifications — feature lists, user flows, and data architecture. This typically requires 3–5 in-depth interviews of 1–2 hours each, with both teachers and management.

這是最耗費雙方心力的早期階段。我們透過多輪會議，將學校的教育語言轉化為可執行的技術規格（功能清單、用戶流程、數據架構）。這個過程通常需要 3–5 次深度訪談，每次 1–2 小時，需要教師和管理層共同參與。

03🎨

UI/UX Design & Prototyping

UI/UX 設計與原型製作

Wireframes → Visual Design → Interactive Prototype

線框圖 → 視覺設計 → 互動原型

The design team translates requirements into visual prototypes. For 古韻今聲, this required particular attention to the aesthetic presentation of Chinese characters, the visual habits of young students, and the balance between traditional cultural elements and a modern AI interface. Each design iteration requires school review and specific feedback — typically 2–3 rounds of revisions before sign-off.

設計團隊將需求轉化為視覺原型。針對「古韻今聲」，設計工作特別需要考慮中文字的美學呈現、學生年齡層的視覺習慣，以及傳統文化元素與現代 AI 介面的平衡。每個設計稿需要學校審閱並提供具體反饋，往往需要 2–3 輪修改才能確認。

04⚙️

MVP Development → V1

MVP 開發 → V1

Core Engineering · Full-Stack Architecture · AI Integration

核心功能工程開發 · 前後端架構 · AI 模型整合

The engineering team begins coding. The MVP goal is not "perfect" — it is "usable, testable, and able to collect real feedback." This covers frontend development, backend data architecture, and AI feature integration. Typically the most technically intensive phase of the entire project, requiring 6–12 weeks of concentrated engineering effort.

工程師團隊開始實際編碼。MVP 的目標不是「完美」，而是「可以用、可以測試、可以收集真實反饋」。包括前端介面開發、後端數據架構、AI 功能整合。這通常是整個項目中技術工作量最密集的階段，需要 6–12 週的集中工程投入。

05🧪

Testing, Feedback & Bug Fixes

測試、反饋收集與問題修復

Real Classroom Testing · Structured Feedback · Fixes

學校真實環境測試 · 系統性反饋 · Bug 修復

V1 is delivered to the school for real-environment testing. School engagement at this stage is critical — what we need is specific, actionable feedback: "which feature doesn't work in the classroom," "where students get confused." Generic feedback cannot drive meaningful iteration.

V1 交付給學校進行真實環境測試。這個階段學校的投入至關重要——我們需要的是具體可操作的反饋：「哪個功能在課室裡無法運作」、「學生在哪個步驟感到困惑」。

06🔄

Iterative Development — V2 to V7

迭代開發 — V2 至 V7

Each Version = A Full Design → Build → Test → Feedback Cycle

每個版本 = 一個完整的「設計 → 開發 → 測試 → 反饋」週期

From V2 to V7, each version represents a complete iteration cycle. Each iteration is not merely "fixing bugs" — it means re-evaluating feature priorities based on real usage data, refining the user experience, and adding new capabilities. Six iteration cycles means six complete engineering efforts, each requiring the full pipeline of design, development, testing, and deployment.

從 V2 到 V7，每一個版本都代表一個完整的迭代週期。每次迭代不只是「修 Bug」，而是根據真實使用數據重新評估功能優先級、優化用戶體驗、加入新功能。六個迭代週期 = 六次完整的開發工程，每次都需要設計、開發、測試、部署的全流程。

07✅

V8 — Current Stable Version

V8 — 現行穩定版本

Feature Maturity · Experience Refinement · Ongoing Maintenance

功能成熟 · 體驗優化 · 持續維護

Version 8 marks the project entering a relatively mature phase. The feature architecture has been validated through repeated real classroom use; the interface has been refined through multiple rounds of teacher and student feedback. Current focus shifts to stability maintenance, performance optimisation, and planning for the next feature phase.

第 8 個版本代表項目進入相對成熟的階段。功能架構已經過真實課堂的反覆驗證，介面設計已根據師生反饋多輪打磨。當前工作重點轉向穩定性維護、性能優化，以及下一階段功能的規劃。

＊以上流程示範只供參考* The above process is for reference only

Reading Passages
KS1 + KS2

精選閱讀篇章
涵蓋 KS1 及 KS2

Powered Practice
Mode Built-in

AI 驅動練習模式
內建融合

Bilingual Audio
ZH + Cantonese

雙語音頻支援
普通話 + 粵語

∞

Ongoing Iteration
with Schools

與學校持續迭代
不斷完善

「上線不是終點，而是與學校共同學習的起點。」

"Launch was not the destination. It was the beginning of learning together with schools."

— Arrogate Maker × 古韻今聲

專業團隊Professional Team

以 Scrum 框架為指引Guided by Scrum Framework

有效的迭代需要嚴謹的開發流程。我們的團隊運用國際認可的 Scrum 實踐，確保每個迭代周期都能產出有意義的成果。

Effective iteration requires disciplined development processes. Our team applies internationally recognized Scrum practices to ensure each iteration cycle produces meaningful progress.

CSM

Scrum Alliance

CSM

Certified Scrum Master

認證 Scrum 大師

Certified Scrum Master

Scrum Alliance

Internationally recognized certification for professionals who have mastered Scrum practices and principles for iterative team delivery.

國際認可的認證資格，面向已掌握 Scrum 實踐與原則的專業人士，確保迭代團隊交付的卓越質量。

PSM

Scrum.org

PSM

Professional Scrum Master

專業 Scrum 大師

Professional Scrum Master

Scrum.org

Advanced mastery assessment demonstrating deep understanding of the Scrum framework and its practical application in complex environments.

進階能力評估認證，展示對 Scrum 框架及其在複雜環境中實際應用的深刻理解。

我們的實踐方式Our Practices

Sprint Planning & Review衝刺計劃與回顧

Retrospective-Driven Improvement回顧驅動持續改善

Continuous Integration持續整合

Product Backlog Refinement產品待辦清單精化

Agile Release Planning敏捷發布規劃

Cross-functional Team Structure跨職能團隊架構

公司故事Our Story

從科技顧問到
AI 產品開發From Tech Consulting
to AI Development

Arrogate Maker Limited 成立於 2018 年 2 月，為不同產業提供科技顧問服務與創新技術解決方案。

Established in February 2018, Arrogate Maker Limited provides technology expertise and innovative solutions across industries.

2023 年公司正式投入人工智慧應用開發，並成為香港數碼港 Cyberport 培育公司，正式進入 AI 產品開發的新階段。

In 2023, the company expanded into artificial intelligence development and became a Cyberport incubatee in Hong Kong — entering a new phase of AI product development.

Arrogate Maker 亦是 NVIDIA Inception Program 的成員。透過 NVIDIA AI 生態系統，我們協助合作夥伴以更快速度推動 AI 創新。

Arrogate Maker is also a member of the NVIDIA Inception Program. Through the NVIDIA AI ecosystem, we help partners accelerate AI innovation at greater speed.

2018

Arrogate Maker Founded

Arrogate Maker 正式成立

Incorporated in Hong Kong. Began providing IT expertise and technology consulting across multiple industries.

於香港正式註冊成立，開始為多個行業提供各類型的平台開發與科技顧問服務。

2023

AI Development & Cyberport

投入 AI 開發 · 加入數碼港

Officially pivoted into AI application development. Accepted as a Cyberport incubatee — joining Hong Kong's leading tech and digital ecosystem.

正式進入人工智慧應用開發領域，成為香港數碼港培育公司，加入香港頂尖科技與數碼生態系統。

Program Member

NVIDIA Inception Program

NVIDIA Inception 計劃成員

Member of NVIDIA's startup acceleration program — leveraging the NVIDIA AI ecosystem to help partners drive innovation faster.

NVIDIA 初創加速計劃成員，透過 NVIDIA AI 生態系統，協助合作夥伴以更快速度推動 AI 創新。

開啟旅程Start the Journey

未來，由迭代構建而成 The Future Is Built Iteratively

AI 並非一次性的項目，而是持續學習與進化的旅程。

AI is not a one-time project. It is a continuous journey of learning and improvement.

在 AI 浪潮中勝出的企業，是那些能夠快速試驗、靈活調適並持續迭代的組織。

Organizations that succeed with AI are those that experiment, adapt, and iterate faster.

與 AI 共存，迭代構建未來。

Living with AI. Built Iteratively.

立即聯絡我們Contact Us

香港 · 數碼港培育企業 · 創立於 2018 Hong Kong · Cyberport Incubatee · Est. 2018