Plan for future use when preserving data
Include original records, metadata, search indexes and source relationships in the design, so archived information has a defined path to discovery and use.
Knowledge Infrastructurefor the AI Era
Researching long-term preservation, knowledge retrieval and governance for enterprise AI.
Enterprise knowledge infrastructure for the AI era
Put long-term data to work for enterprise AI
Spark AI focuses on knowledge that enterprises have accumulated over time but struggle to find and reuse. Our research and development brings together local AI, intelligent tiered storage, long-term optical archiving and knowledge governance, with the aim of making historical information easier to discover, understand and use with appropriate authorization.
Spark AI Appliance is our integrated product design for this direction. Its goal is to bring the deployment, management and maintenance of knowledge preservation and AI applications into a unified architecture.
Design for the full knowledge lifecycle
Enterprises need to preserve original records and find trustworthy evidence when work calls for it. Spark AI considers long-term preservation, knowledge retrieval and governance from the moment data enters the system.
Match storage to access needs
Manage frequently used indexes and working data separately from historical originals that are accessed less often. Optical archiving is one option for the long-term preservation tier. The appropriate media mix depends on access frequency, recovery requirements and maintenance conditions.
Build governance into knowledge use
Treat identity, permissions, versions, provenance and activity records as system design requirements, so knowledge retrieval and AI applications can follow enterprise usage rules.
Architecture design for enterprise records
Documents
Medical Images
CAD / PLM
Video / Audio
Databases
IoT / Logs
Spark AI Appliance™
An integrated design direction for compute, storage and knowledge services
Knowledge Layer
AI Memory
Knowledge Graph
Vector Search
Semantics
Enterprise Security
Include identity, permissions and activity records in the design requirements.
Data Governance
Why Knowledge Infrastructure
Why Knowledge Infrastructure Matters
Artificial Intelligence is advancing rapidly, but its long-term value depends on trusted knowledge.
Across governments, healthcare, finance, manufacturing, education and media, enormous amounts of valuable information remain isolated in documents, images, videos and legacy systems.
Spark AI researches how distributed records can be discovered, governed and used with authorization.
Spark AI Appliance
The Physical Foundation of Knowledge Infrastructure
Spark AI Appliance is our integrated product design for this direction. Its goal is to bring the deployment, management and maintenance of knowledge preservation and AI applications into a unified architecture.
Specific capabilities, configurations and delivery scope are governed by confirmed product documentation.
Explore the product designDLSM
The control plane for the AI Data Lifecycle
DLSM connects AI data objects, logical storage, physical media, lifecycle policy, and audit evidence so organizations can see what is managed, where it resides, which controls apply, and what has been verified.
Identify AI data objects
Map datasets, vector stores, models, checkpoints, and business ownership.
Apply lifecycle policy
Coordinate access, retention, protection, recovery, and disposition policies.
Connect storage and media
Link logical objects to storage tiers, devices, and physical media.
Produce governance evidence
Record policy, actions, validation results, and operating responsibility.
DLSM in four minutes
Explore data tiering, transfer and disposition, alongside compliance, energy efficiency and return assessment for AIDC operations.
4 min · Mandarin audio · Chinese captions
This is a product and pilot direction. Control scope, interfaces, validation methods, and operating responsibility are confirmed through enterprise discovery and device-level pilots.
A defined path from records to knowledge use
The proposed workflow separates online retrieval from cold-original restoration and checks permissions, versions and sources before using evidence.
Explore the knowledge workflowIndustries
Knowledge Belongs Everywhere
Research and use-case discussions for sectors with long-term preservation and recurring knowledge needs.
Healthcare
Medical images, patient records and clinical knowledge.
Government
Archives, public records and digital governance.
Finance
Compliance, document retention and enterprise intelligence.
Manufacturing
Engineering drawings, CAD files and digital twins.
Education
Research data, institutional knowledge and AI learning.
Media
Video assets, creative archives and content intelligence.
Our Belief
Our Belief
Knowledge is one of the world's most valuable assets.
Every organization creates knowledge every day.
The challenge is not creating knowledge.
The challenge is preserving it, connecting it and enabling it to create value over time.
Spark AI is building the infrastructure that makes this possible.