A data contract is an explicit, enforced agreement between the team that produces a dataset and the teams that consume it. It specifies the schema, the semantics, the quality expectations, and the ownership, so an upstream change cannot silently break downstream pipelines.
Traditionally, data producers changed tables whenever they needed to, and consumers found out only when something broke in production. A data contract moves that agreement to the front and makes a violation detectable before it ships. The portion that pins down agreed meaning, not just field types, is sometimes called a semantic contract.
AI pipelines are especially fragile to silent upstream changes. A renamed field or a shifted distribution can degrade a model with no error message at all. Data contracts catch that change at the boundary, before it reaches the run.
A data contract governs the agreement at the boundary. CUBIG’s platform for AI-ready execution goes one step further: it captures the actual state of the data at run time, so you can confirm not only that a contract held, but that a specific AI result can be rebuilt.