Data infrastructure includes the platforms and systems that move, store, retrieve, govern and analyse information for software and AI workflows. It sits underneath both enterprise software and AI-native applications.
For AI systems, data infrastructure is no longer only a back-office architecture concern. Retrieval quality, permissions, lineage, freshness and observability directly affect output quality and risk.
Meridian studies the category as a bridge between private software formation and public-market infrastructure businesses. The useful question is which layers become durable control points, and which are absorbed by cloud platforms, databases or application vendors.
Focus areas
Focus
Data platforms
Focus
Retrieval and context
Focus
Observability
Focus
Governance
Focus
Analytics and intelligence layers
Market map
Pipelines
Pipelines
Movement, transformation and operational availability of data across systems.
Governance
Governance
Permissions, lineage, policy, privacy and control for sensitive enterprise data.
Intelligence
Intelligence
Analytics, retrieval, context layers and evidence systems used by humans and models.