Introducing the Enterprise AI Data Substrate

Tile.ai presents its Enterprise AI Data Substrate as a governed layer intended to make data distributed across storage systems, warehouses, SaaS applications, and specialized scientific formats available to AI agents without moving or duplicating it. The company argues that enterprise AI adoption is constrained less by model capabilities than by difficulties finding data across silos, accessing heterogeneous formats and runtimes, and applying identity-aware permissions and auditing. Its core concept, the Tile, is a wrapper around an existing data asset that provides contextual metadata, native query tools, controlled execution, federated access, and reproducible audit records while leaving the underlying source authoritative. Tile.ai positions the platform as distinct from catalogs, lakes, and warehouses because it makes data callable by agents through interfaces such as APIs, notebooks, filesystem mounts, and MCP, while retaining source-level controls. The platform can be deployed as a single-tenant installation in a customer’s cloud account, integrating with existing identity providers and infrastructure to support discovery, access, governance, collaboration, and traceability across data sources.

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