Spark AI Technology Limited
Building the Future ofAI Data Infrastructure
Preserve cold data. Activate enterprise knowledge. Create data assets.
Spark AI is building infrastructure for long-life data preservation, private AI knowledge activation, and trusted data asset operations.
Investor Version 2.0
Infrastructure Metrics
100PB+
Planned AI cold data capacity
50+ yrs
Optical archive durability target
4
Commercial infrastructure modules
HK
Asia-Pacific launch gateway
Spark AI Ecosystem
One infrastructure ecosystem from cold data memory to investable data assets.
Spark AI connects physical storage, governance, enterprise AI activation, and data asset finance into a single operating platform for institutional data.
Layer 01
Enterprise Data
Institutional archives, records, media, research data, telemetry, and operating knowledge become the starting inventory.
Layer 02
BlueSafe Storage
Durable optical storage preserves cold data with long-life economics and lower operating energy.
Layer 03
AI Cold Data Center
Capacity, custody workflows, metadata governance, and secure access make preserved data useful for AI.
Layer 04
Enterprise RAG Cloud
Governed archives become private retrieval, copilots, agents, search, and decision workflows.
Layer 05
Data Asset Bank
Data accounts, valuation, permissioned access, and trusted circulation turn data into asset infrastructure.
Four Product Modules
A modular product stack built for enterprise AI infrastructure buyers.
Each module can stand alone commercially, while the full stack compounds into a data infrastructure and data asset operating system.
Module 01
BlueSafe Optical Storage
Immutable cold archive infrastructure for compliance records, media libraries, research datasets, and sovereign data reserves.
Module 02
AI Cold Data Center
Purpose-built facilities for long-life, low-energy preservation of enterprise and institutional datasets.
Module 03
Enterprise RAG Cloud
Private retrieval, indexing, embeddings, and knowledge activation for regulated AI workflows.
Module 04
Data Asset Bank
Data asset accounts, valuation workflows, permissioned access, custody, and trusted circulation services.
Industry Applications
Institutional data markets need durable memory, private AI knowledge, and trusted asset workflows.
Spark AI is positioned for regulated, data-intensive, and archive-heavy sectors where trust, longevity, and retrieval quality matter.
Financial Services
Archive custody, compliance memory, risk knowledge bases, and data asset accounts.
Healthcare & Life Sciences
Long-life research data, clinical archives, private retrieval, and audit-ready governance.
Public Sector
Sovereign data reserves, record preservation, secure AI knowledge layers, and trusted access control.
Media & Cultural Assets
Large-scale media archives, rights metadata, AI search, and preservation infrastructure.
Manufacturing & Industrial AI
Telemetry archives, equipment knowledge, engineering records, and assisted operations.
Research & Education
Institutional repositories, research datasets, knowledge discovery, and reusable AI libraries.
Market Signals
Global AI Data Infrastructure Market
全球 AI 数据基础设施市场 is expanding as enterprises preserve cold data, activate private knowledge, and build trusted data asset operations.
Global AI Data Infrastructure Market
全球 AI 数据基础设施市场
100B+
Market Opportunity
市场机会
Enterprise Cold Data
企业冷数据
80%+
Most institutional data remains cold, fragmented, under-governed, or underused by production AI systems.
多数机构数据仍处于冷存储、分散治理或未被生产级 AI 充分使用的状态。
AI Demand
AI 需求
2030
AI-native organizations will need durable memory, governance, and trusted data infrastructure.
AI 原生组织将需要长期记忆、治理能力与可信数据基础设施。
Business Model
Revenue streams across the AI data infrastructure stack.
商业模式 covers optical storage, AI cold data center capacity, enterprise RAG cloud usage, and data asset banking services.
Optical Storage
光存储
Recurring archive capacity, data custody, and long-life preservation revenue for enterprise cold data.
面向企业冷数据的归档容量、数据托管与长期保存收入。
AI Cold Data Center
AI 冷数据中心
Infrastructure subscriptions for large-scale cold data capacity, metadata governance, and secure access.
围绕大规模冷数据容量、元数据治理与安全访问的基础设施订阅收入。
Enterprise RAG Cloud
企业 RAG 云
Usage and subscription revenue from private retrieval, embeddings, knowledge workflows, and AI agents.
来自私有检索、向量化、知识工作流与 AI 智能体的订阅和用量收入。
Data Asset Bank
数据资产银行
Account management, valuation, authorization, trusted circulation, and future transaction services.
数据账户、价值评估、授权访问、可信流通与未来交易服务。
Hong Kong 100PB Roadmap
A focused timeline from company launch to data asset banking.
香港 100PB 路线图 keeps the investor story anchored on infrastructure delivery, BlueSafe RAG Cloud, and data asset operations.
2026
Company Launch
公司启动
Establish Spark AI, complete investor narrative, and launch initial enterprise partnership pipeline.
2027
100PB AI Cold Data Center
100PB AI 冷数据中心
Build the Hong Kong flagship capacity base for enterprise cold data storage and custody.
2028
BlueSafe RAG Cloud
BlueSafe RAG 云
Connect preserved data to private retrieval, knowledge activation, copilots, and AI workflow services.
2030
Data Asset Bank
数据资产银行
Operate data accounts, valuation services, authorized access, and trusted circulation infrastructure.
Fundraising Plan
Capital supports the first infrastructure asset and commercial productization.
Funding is directed toward physical capacity, enterprise product readiness, specialist hiring, and regulated data asset operations.
Build the first Hong Kong AI cold data center and BlueSafe optical storage capacity.
Accelerate Enterprise RAG Cloud productization for regulated and data-intensive sectors.
Recruit infrastructure, enterprise AI, data governance, and institutional partnership teams.
Develop the Data Asset Bank operating model with compliance, valuation, and trusted access partners.
Investor Relations
Transforming cold data infrastructure into an AI data asset economy.
Spark AI is building the infrastructure layer that preserves enterprise memory, activates private knowledge, and creates the operating rails for data assets.
Infrastructure thesis: cold data preservation becomes the foundation for enterprise AI memory.
Product stack: storage, governance, RAG activation, and data asset services reinforce each other.
Hong Kong positioning: capital, compliance, enterprise demand, and cross-border technology access.
info@sparkai.hk
Investor relations and strategic partnership inquiries