A persistent company brain持續存在的公司大腦
ShibaOS keeps durable context around people, projects, policies, decisions, assets, and operating history.
持續保存人物、項目、政策、決策、資產與營運歷史,讓公司知識不會隨一次對話消失。
ShibaOS is the operating layer behind Shiba Dev's operational intelligent systems — company knowledge, digital humans, workflows, agents, approvals and private compute in one governed interface. We dogfood it internally; client builds start with Discovery.
ShibaOS 是 Shiba Dev 營運級智能系統背後的 operating layer——把公司知識、數碼人、工作流程、agents、審批與私有算力放在同一受控介面。我們先內部 dogfood;客戶專案由 Discovery 開始。
Illustrative product vision / fictional scenarios — not a priced product page. Discovery before pricing · [email protected]
產品願景示意/虛構場景 — 非公開報價頁。先 Discovery,再定範圍 · [email protected]
ShibaOSAI for real world operationsI found the main cause of the Route 28 delay.
Would you like me to walk through the evidence?
Prepared by Mina · 6 sources verified · 15:42 updated
Vehicle 5213 substitution created the first service gapA vehicle swap created a cascading delay.
Peak congestion widened the delay across three departuresTraffic amplified the original gap.
Recovery can improve without adding another vehicleA timetable recovery window can stabilize service.
Stabilize headways and improve OTP without adding another vehicle.
ShibaOS hides orchestration complexity behind one operating surface. People interact with a company, not with a collection of AI tools.
ShibaOS 把複雜的協調、模型、工具與工作流程隱藏在一個營運介面之後。使用者面對的是「公司」,而不是一堆 AI 工具。
ShibaOS keeps durable context around people, projects, policies, decisions, assets, and operating history.
持續保存人物、項目、政策、決策、資產與營運歷史,讓公司知識不會隨一次對話消失。
Talk to Mina, type a request, or use the command center. The interaction stays human even when many systems work underneath.
可以直接跟 Mina 說話、打字或使用 Command Center。即使背後有多個系統協作,操作仍然自然。
Investigate across data sources, delegate bounded tasks, compare evidence, prepare actions, and verify outputs.
跨資料源調查、分派受控任務、比較證據、準備行動並驗證結果。
Sensitive actions can require approval. Workloads can run locally, on owned GPUs, or through approved cloud services.
敏感操作可要求人工審批,工作負載亦可在本地、自有 GPU 或核准的雲端服務上運行。
The target ShibaOS workspace combines company state, live operations, conversations, investigations, workflows, and approvals in one place.
ShibaOS 的最終工作區會把公司狀態、即時營運、對話、調查、工作流程與審批放在同一個介面。
ShibaOS / Hong Kong OperationsLive operating model · Fleet, routes, depots, maintenance, service delivery
Structured operational memory — what ShibaOS knows, where it came from, and how fresh it is
Owner · Operations / Mina · Deadline 18:00 · Human approval required for schedule changes
ShibaOS sits above your existing systems and turns fragmented company data, people, tools and AI models into one governed operating layer. Mina is the interface. The operating system underneath maintains context, investigates, coordinates work, asks for approval and verifies outcomes.
ShibaOS 位於現有系統之上,把分散的公司資料、人員、工具與 AI 模型連成一個受治理的營運層。Mina 是入口,而底層系統負責保存背景、調查、協調工作、提出審批及驗證結果。
ShibaOS builds durable context around people, teams, projects, policies, decisions, assets, customers, operating rules and historical outcomes. Context does not disappear when a chat ends or when the model changes.
ShibaOS 會持續保存人物、團隊、項目、政策、決策、資產、客戶、營運規則與歷史結果。對話結束或模型更換,都不代表公司重新失憶。
Connect live business systems, databases, APIs and operational feeds so ShibaOS can understand current state, detect changes and surface what needs attention.
連接即時業務系統、資料庫、API 與營運資料流,讓 ShibaOS 理解當前狀態、偵測變化並主動指出需要處理的事情。
A request can be broken into bounded work for research, finance, operations, engineering or creative agents. ShibaOS brings the work back together before presenting a recommendation.
一個要求可以拆成研究、財務、營運、工程或創作等受控任務,再由 ShibaOS 整合結果,才把建議交回給人。
Sensitive actions can remain prepared but not deployed until the right person approves them. Permissions, evidence, provenance and audit trails stay attached to the work.
敏感操作可以先準備好,但在正確的人批准前不會執行。權限、證據、來源與 audit trail 都會跟隨工作保留下來。
Email, documents, chat, calendars, databases, internal APIs and line-of-business systems become tools ShibaOS can read from or act through, based on permissions.
電郵、文件、聊天、日曆、資料庫、內部 API 與業務系統,都可以在權限控制下成為 ShibaOS 可讀取或操作的工具。
ShibaOS does not treat every request as a disposable chat turn. Work can become an objective with an owner, evidence, dependencies, approval boundaries and a definition of done. After execution, the system can check whether the intended result actually happened.
ShibaOS 不會把每個要求當成一次性聊天。工作可以成為持久 Objective,包含負責人、證據、依賴、審批邊界與完成定義;執行後亦可驗證預期結果是否真的出現。
Inspect the evidence used, the tools called, the source freshness and the reasoning path behind an operational recommendation.
檢視所用證據、呼叫工具、資料新鮮度,以及營運建議背後的推理路徑。
Route workloads between local models, owned GPU workers and approved cloud services based on privacy, cost, latency and task requirements.
按私隱、成本、延遲與任務需要,把工作路由到本地模型、自有 GPU workers 或獲批准的雲端服務。
Mina is the executive interface to ShibaOS. She can hear a question, understand company context, investigate across systems, dispatch bounded work, explain what she found, and ask for approval before sensitive actions.
Mina 是你進入 ShibaOS 的執行介面。她能聽懂問題、掌握公司背景、跨系統調查、分派受控任務,並把證據與建議帶回給你;敏感操作仍由你批准。
The final product is designed around durable objectives and verifiable work — not endless chat turns.
ShibaOS 最終產品以持久目標與可驗證工作為核心,而不是無止境的聊天回合。
Ask Mina, type a request, trigger a workflow, or let an operating signal open an objective.
向 Mina 提問、輸入要求、啟動流程,或由營運訊號自動開啟目標。
ShibaOS searches the company context and connected systems, keeping source provenance visible.
跨公司知識與已連接系統搜集資料,同時保留來源與證據。
Specialized workers can analyze, draft, compare, calculate, or prepare execution steps.
由專門 workers 分析、起草、比較、計算或準備執行步驟。
Review the recommendation, approve sensitive actions, and verify the result after execution.
審閱建議、批准敏感操作,並在執行後驗證實際結果。
Every deployment starts with a different operating model. ShibaOS keeps the same foundations — Mina, company context, agent coordination, approvals and compute — then reshapes the workspace around the decisions and workflows that matter in that industry.
每個部署都有不同 Operating Model。ShibaOS 保留同一套核心:Mina、公司背景、Agent 協調、審批與算力,再按該行業真正需要處理的決策與工作流重組介面。
A CEO-level operating view across company health, objectives, approvals, system status and the day’s most important decisions. Mina briefs the operator, explains what changed and brings consequential actions forward for approval.
以 CEO 視角統一查看公司健康度、Objectives、審批、系統狀態與當日關鍵決策。Mina 主動匯報變化、解釋原因,並把重要行動帶到審批層。
Launch APAC expansion 78%
Improve operational efficiency 62%
Grow enterprise customer base 45%
Hong Kong Office Lease
Hire 5 Engineering Leads
Additional GPU Infrastructure
Live route performance, fleet and depot status, delay alerts, maintenance and incident response in one operational workspace. Mina can correlate evidence and prepare service changes without deploying them until approved.
把路線表現、車隊、車廠、延誤、維修與事故回應放在同一營運介面。Mina 可跨資料找出原因並準備服務調整,但在批准前不會真正執行。
Artist identity, current releases, content production, approvals, audience performance and campaign calendars become one coordinated operating surface. Mina carries persistent artist and campaign context across the workflow.
把藝人身份、發佈、內容製作、審批、受眾表現與 Campaign Calendar 連成同一工作區,Mina 亦會把藝人與 Campaign 背景持續帶進每個工作流程。
Official Music Video 90%
Cover Art & Visuals 100%
Social Shorts 40%
Music Video Final Cut
Press Release
Cover Art Variant
Multi-store sales, inventory, staffing, promotions, footfall and incidents are unified so Mina can compare locations, identify stockout risks and recommend operational reallocations.
統一多店銷售、庫存、人手、推廣、Footfall 與事故資料,讓 Mina 比較不同店舖、找出缺貨風險並提出重新分配資源的建議。
Causeway Bay HK$286KStrong
Tsim Sha Tsui HK$221KStrong
Mong Kok HK$198KGood
Tai Po HK$96KSupport
Live dispatch, deliveries, warehouse capacity, vehicle utilization and exceptions are combined so Mina can reroute around disruption and coordinate recovery actions across the network.
把即時 Dispatch、Delivery、倉庫容量、車隊使用率與 Exception 連在一起,讓 Mina 在出現中斷時即時提出改道與復原行動。
Professional-services firms can bring client projects, utilization, resources, milestones, approvals and delivery risks into one operating layer. Mina can brief leaders, identify delivery risk and recommend resource moves.
專業服務公司可把客戶項目、Utilization、資源、Milestone、審批與交付風險放到同一層,Mina 可匯報進度、找出交付風險並建議資源調整。
Digital Transformation 78%On track
Operating Model Redesign 62%On track
Cloud Strategy & Migration 45%At risk
Customer Experience Audit 28%Behind
Internal deployment / application indicates systems being built and dogfooded inside Shiba. Reference deployment is a productized industry scenario demonstrating how the final ShibaOS architecture would adapt to that operating environment.
Internal deployment / application 指 Shiba 內部正在建立及 dogfood 的系統;Reference deployment 則是展示 ShibaOS 最終架構如何適應該行業營運環境的產品化示意場景。
Illustrative memory model · scoped by workspace and permissions
Departments, roles, locations, assets, responsibilities and reporting lines.
Durable contextOperating rules, approval boundaries, brand rules and escalation logic.
VersionedActive goals, owners, evidence, deadlines and dependencies.
LiveWhat was decided, why, by whom and what changed afterward.
TraceableCurrent signals from connected data, tools and business systems.
Freshness awarePast incidents, outcomes, patterns and validated operational knowledge.
RetrievableShibaOS is designed to separate company memory from any single conversation or model. Context can persist across people, sessions, agents, interfaces, and future model upgrades.
ShibaOS 的公司記憶不依賴單一對話或單一模型。資訊可以跨人物、session、agent、介面與未來模型升級持續存在。
The product surface stays simple while ShibaOS routes context, reasoning, tools, voice, workflows, and compute behind the scenes.
使用者只看到簡單介面,ShibaOS 在背後處理背景資料、推理、工具、語音、工作流程與算力路由。
Voice, text, dashboard, notifications and approvals.
Conversation, persona, language, emotion and output behavior.
Persistent memory, company model, knowledge and live state.
Objectives, bounded delegation, evidence and verification.
Email, docs, chat, databases, APIs and business software.
Local GPUs, workers, private infrastructure and approved cloud.
Different companies have different privacy, latency, cost, and control requirements. ShibaOS is designed around flexible execution rather than a single mandatory cloud.
不同公司對私隱、延遲、成本與控制權有不同要求。ShibaOS 的方向是彈性執行,而不是強迫所有工作都走同一個雲端。
Run sensitive reasoning and company data on owned infrastructure where required.
在需要時,把敏感推理與公司資料保留在自有基建內。
Keep context and controlled workloads private while routing selected tasks to external services when useful.
保留核心背景與受控工作於私有環境,同時按需要把指定任務路由到外部服務。
Use ordinary GPU machines as coordinated workers so compute can grow with the organization.
利用一般 GPU 機器組成協調 workers,讓算力可以隨組織需要擴展。
ShibaOS is most useful when a company has many systems, recurring decisions, operational knowledge, and work that crosses teams.
當公司有多個系統、重複決策、營運知識以及跨部門工作時,ShibaOS 的價值會最明顯。
Monitor live state, investigate incidents, coordinate responses.
監察即時狀態、調查事件、協調回應。
Connect teams, locations, workflows and shared operating knowledge.
連接團隊、地點、流程與共同營運知識。
Coordinate content, talent, approvals, publishing and production systems.
協調內容、藝人、審批、發布與製作系統。
Make institutional knowledge usable across intake, delivery and follow-up.
把機構知識應用於 intake、交付與後續工作。
Give teams one governed layer instead of many disconnected AI subscriptions.
以一個受控平台取代多個互不相連的 AI 訂閱工具。
ShibaOS is being built for companies that want AI to operate across real context, real systems and real workflows — not live in another chat tab. Join the waitlist for private pilots, product updates and early deployment conversations.
ShibaOS 為真正希望 AI 跨公司背景、系統與工作流程運作的企業而建,而不是再多一個聊天視窗。加入候補名單,獲得 Private Pilot、產品進度與早期部署資訊。
Private pilot accessPrivate Pilot 優先資格Be considered for early ShibaOS deployments.優先考慮早期 ShibaOS 部署。
Product previews產品預覽See new interfaces and workflows as the OS evolves.率先看到新介面與工作流程。
Deployment conversations部署討論Talk to us about your company operating model and infrastructure.按你的 Operating Model 與基建討論部署。
We’ll keep you updated on private pilots, product milestones and relevant early-access opportunities.
我們會通知你 Private Pilot、產品里程碑及相關 Early Access 機會。
Explore use cases查看使用案例We don't publish prices here. A 30-minute Discovery Call maps the workflows, systems and decisions that matter most — then Shiba Dev scopes company context, tools, approval boundaries and a ShibaOS deployment around your infrastructure.
我們不在此公開價格。先以 30 分鐘 Discovery Call 釐清最重要的工作流程、系統與決策,再由 Shiba Dev 定出公司背景層、工具連接、審批邊界,並按現有基建部署 ShibaOS。