Data

Frontal's data layer acquires, normalizes, validates, transforms, and serves enterprise context. It is not a generic ETL add-on: its role is to make operational reality legible to the ontology, agents, workflows, and product surfaces.

The platform keeps source lineage, quality signals, schema constraints, pipelines, and synchronization state close to the records they describe. That lets an answer explain not only what it found, but where the fact came from and when it was last refreshed.

Start with connectors, then model the domain.