Warehouse costs are rising. The data needed to explain why — query history, lineage, schema metadata, usage patterns — is scattered across systems that don’t talk to each other. Finding the specific tables and pipelines responsible, at scale, without a dedicated analyst to do the forensics, takes time most teams don’t have. This results in …

In this new and rapidly changing reality of software, humans aren’t the only ones doing the work. Far from it, actually; it’s agents who are now writing code, opening pull requests, and modifying data pipelines. In most data stacks, they’re doing all of this without the critical knowledge of whether their inputs are reliable and …