Agentic Systems
Agentic 系統
AI that can investigate, reason across company information, call tools, coordinate workflows, and act with human approval.
讓 AI 跨系統調查、推理、呼叫工具、協調流程，並在人工審批下執行工作。
What we build 我們建立甚麼
AI beyond the chatbot. AI 不只是 chatbot。
The interface is only the visible layer. We build the reasoning, memory, tools, integrations, infrastructure, and product experience underneath it.
介面只是看得見的一層。我們同時建立背後的推理、記憶、工具、整合、基建與完整產品體驗。
Digital Humans & Voice
數碼人與即時語音
Real-time conversational interfaces combining voice, memory, personality, company knowledge, and tool execution.
結合即時語音、記憶、角色、公司知識與工具執行的自然對話介面。
Private & Local AI
私有與本地 AI
Local models, RAG, GPU workers, and controlled infrastructure for organizations that need privacy and ownership.
本地模型、RAG、GPU workers 與受控基建，適合重視私隱、控制權與資料主權的企業。
AI-native Products
AI-native 產品
Complete SaaS and internal products: frontend, backend, database, auth, payments, integrations, deployment, and AI infrastructure.
完整 SaaS 與內部產品：前端、後端、資料庫、登入、支付、整合、部署與 AI 基建。
Technology proof 技術實證
Built for our own operations first. 先為自己的營運而建。
These are not stock AI diagrams. They are product patterns from systems we are actively building and dogfooding inside Shiba.
這些不是通用 AI 概念圖，而是我們正在 Shiba 內部實際建立及 dogfood 的產品架構與工作模式。
DOGFOOD RUNTIME
Objective → Plan → Work → Verify
SHIBAOS CORE
From a company instruction to a verified deliverable.
由一句公司指令，到可驗證的交付結果。
Real product UI from our dogfood runtime. No client data shown. Try the interactive concept below in Live demos.
來自內部 dogfood runtime 的真實產品介面，不含客戶資料。可於下方 Live demos 試用互動概念。
REALTIME CANDIDATE
MINA
Voice is an interface to the operating system.
語音只是進入作業系統的其中一個介面。
English real-time voice runtime is under active acceptance and dogfood testing.
英文即時語音 runtime 正在進行 acceptance 與 dogfood 測試。
PORTABLE NODE FOUNDATION
SHIBA COMPUTE
Run AI where the workload belongs.
讓 AI 在最適合的節點執行。
Designed around explicit Head, Worker, and Hybrid roles with bounded assignment and verification.
以明確的 Head、Worker、Hybrid 角色設計，並採用受控任務分配及驗證。
PRODUCT LAYER IN DEVELOPMENT
ARTISTAGENT.AI
AI-native creative operations instead of disconnected tools.
把零散 AI 工具變成完整創作營運流程。
Product direction from our internal artist-management and social workflow stack; client builds are scoped separately after Discovery.
畫面展示內部藝人管理及社交工作流程的產品方向；客戶版本於 Discovery 後另行定範圍。
Durable objectivesWork survives beyond one chat turn.
Human approvalImportant actions remain controlled.
VerificationOutputs can be checked before completion.
Local-first optionUse owned compute where privacy matters.
Applied product examples 應用產品示範
See how the same AI stack adapts to real businesses. 看看同一套 AI 架構如何適配不同業務。
Demo / 示範 Not real client case studies — fictional worlds for direction. 非真實客戶案例——僅作方向展示的虛構世界。
These fictional examples show how one underlying architecture can become a clinic assistant, legal intake layer, property concierge, automotive platform, creator system, or investor portal. Every client build is custom.
點選示範世界，展開寫實模擬畫面，並觀看腳本化 AI 禮賓回覆。每個真實項目均客製設計。
Healthcare · 私人診所
LUMINA
Private clinic · multilingual site + Lumina AI Concierge
私人診所 · 多語言網站 + Lumina AI Concierge
Launch live demo
進入互動示範
Interactive concept demo / 互動示範
Lumina AI Concierge
Online · Demo
Scripted demo — not live AI
腳本示範 — 非即時 AI
Live concept demos 互動概念示範
Feel the product patterns — not a brochure. 親身體驗產品模式——不是簡介頁。
Interactive concept demo / 互動概念示範 Fictional data only. Nothing deploys, books, or files a real matter. 僅使用虛構資料。不會真實部署、預約或立案。
Launch into full fictional demo worlds, or try the inline patterns below: Objective Lab, clinic concierge, and professional intake.
可進入完整虛構示範世界，或試用下方內嵌模式：Objective Lab、診所禮賓、專業 Intake。
Interactive concept demo
SHIBAOS
Objective Lab
Objective Lab
Type an operational ask. Watch a fictional objective move through evidence → reasoning → prepared (not deployed).
輸入營運指示，觀看虛構 Objective 經 Evidence → Reasoning → Prepared（未部署）。
- 01Objective created已建立 ObjectiveCaptured as a durable work item寫入可延續的工作項目—
- 02Evidence gathered已收集 EvidenceFictional ops signals only僅虛構營運訊號—
- 03Reasoning推理中Compare bounded options比較受控選項—
- 04Prepared — Not Deployed已準備 — 未部署Awaiting human approval等待人工審批—
PREPARED · NOT DEPLOYED
Demo / 示範 — not a real clinic
LUMINA-STYLE
AI Concierge
AI 禮賓
Pick a canned intent. Scripted replies with typing — escalate to Discovery when you ask for a human.
選擇預設意圖，觀看腳本回覆；要求轉接真人時導向 Discovery。
Lumina Concierge
Demo online
Demo / 示範 — not a real firm
VERITAS-STYLE
Intake form
Intake 表單
Client-side validation only. Submit prepares a fictional brief and offers Discovery mailto — no network POST.
僅前端驗證。提交後顯示虛構 brief，並提供 Discovery 電郵——不會發送網路請求。
Built by Shiba Shiba 自研
We use our own companies as the proving ground. 我們先在自己的公司實戰，再為客戶部署。
Shiba Dev is not a consultancy learning AI on client time. Our engineering stack comes from building and operating our own AI-native products.
Shiba Dev 不是用客戶項目來學 AI 的顧問公司。我們的工程能力來自長期建立及營運自己的 AI-native 產品。
SHIBAOS
AI company operating system
AI 公司作業系統
A company intelligence layer for agents, memory, tools, approvals, workflows, and business-system access.
整合 agents、記憶、工具、審批、工作流程與企業系統存取的公司智能層。
MINA
Real-time digital employee
即時數碼員工
A live conversational interface combining voice, animated presence, memory, company context, and tool use.
將即時語音、動畫形象、記憶、公司語境與工具使用整合成自然對話介面。
ARTISTAGENT.AI
AI-native artist operations
AI-native 藝人營運平台
A product layer for artist management, content workflows, social publishing, creative generation, and operational knowledge.
涵蓋藝人管理、內容流程、社交發布、創作生成與營運知識的 AI-native 平台。
SHIBA COMPUTE
Local and distributed AI infrastructure
本地與分散式 AI 基建
Local models and GPU workers designed to route workloads between owned hardware and cloud models when needed.
以本地模型與 GPU workers 在自有硬件及雲端模型之間調度工作負載。
Real-time voice
Tool-using agents
Local inference
Distributed GPU compute
Memory architecture
Production SaaS
AI beyond chatbots 超越 chatbot
The chatbot is only the interface. Chatbot 只是介面。
The value sits underneath: reasoning, memory, permissions, tools, company systems, and infrastructure working together.
真正的價值在介面之下：推理、記憶、權限、工具、企業系統與 AI 基建共同運作。
01
User experienceVoice · Text · Web · Mobile · Digital Human
02
Agent intelligenceReasoning · Memory · Planning · LEMO · Permissions · Approval
03
Company systemsEmail · CRM · Documents · Databases · APIs · Messaging · Internal tools
04
AI infrastructureCloud models · Local models · RAG · GPU workers · Private data
We build the whole system — not just the chat box.
我們建立的是整個系統，不只是一個聊天框。
Engagement 合作方式
Discovery before pricing. 先 Discovery，再定範圍與報價。
Discovery → scoped proposal → build → ops Discovery → 範圍提案 → 建置 → 營運
We start by clarifying the problem, constraints, and fit — then we write a scoped proposal. Commercial terms are confirmed only after Discovery. No public starting prices.
先釐清問題、限制與適配度，再撰寫範圍提案。 商業條款僅於 Discovery 後確認——公開網站不會先報具體金額。
- 01 · Discovery01 · Discovery Map workflow, data, risk, and where AI creates leverage. 對齊流程、資料、風險，找出 AI 真正創造槓桿的位置。
- 02 · Scoped proposal02 · 範圍提案 Clear deliverables, architecture sketch, timeline, and commercial options. 明確交付、架構草圖、時程與商業方案。
- 03 · Build03 · 建置 Product engineering: UI, backend, AI layer, integrations, verification. 產品工程：介面、後端、AI 層、整合與驗證。
- 04 · Ops04 · 營運 Deploy, monitor, iterate — optional ongoing operations support. 部署、監控、迭代——可選持續營運支援。
- Product discovery, requirements, and bespoke UI
- 產品探索、需求分析與客製 UI
- Frontend, backend, database, authentication
- 前端、後端、資料庫、登入系統
- AI model integration, RAG, tools, and workflows
- AI 模型整合、RAG、工具與工作流程
- Deployment, monitoring, testing, and handover
- 部署、監控、測試與交付
- Optional: voice, digital human, local AI, payments, enterprise integrations
- 可選：語音、數碼人、本地 AI、支付、企業系統整合
Agentic, enterprise, private-AI, and ongoing-operations work is scoped after Discovery. Third-party AI/API usage is quoted transparently when it applies.
Agentic、企業、私有 AI 與持續營運項目於 Discovery 後定範圍。 第三方 AI／API 用量於適用時透明列明。
Arrange a 30-minute Discovery Call 預約 30 分鐘 Discovery Call
Show us the business problem or product idea. We map the workflow, identify where AI creates real leverage, and scope the fastest path to a working system.
先釐清業務問題、限制條件與適配度——再正式定範圍。 不當場承諾價格、功能、時程或合規結果。
Prefer a booking link later? We can wire window.SHIBA_BOOKING_URL when you have one.
之後若有預約連結，可透過 window.SHIBA_BOOKING_URL 接上。