Technology
AI Data, Retrieval, and Knowledge Architecture
Connect storage, metadata, enterprise retrieval, models, and AI Agents into governed knowledge infrastructure.
Architecture Layers
From Infrastructure to AI Applications
Spark AI uses tiered storage, metadata, retrieval, model connectivity, and governance controls to embed long-term knowledge into AI workflows.
Intelligent Tiering
Place data by access frequency, cost, policy, and governance needs.
Retrieval and Models
Provide enterprise knowledge to AI in attributable and traceable ways.
Deployment Models
Support local, edge, data center, and controlled cloud collaboration.