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.