Every data project on earth starts the same way. Weeks of code to get data out of one system and into another without losing anything, then years of keeping that code alive. It is the least celebrated work in the field, and everything downstream is built on top of it.
We are deleting those weeks.
The obvious way to do that today is to point a bigger model at the problem. AI got very good at producing code that nobody has time to read, so we went the other way: one small model, one job, one standard output.
PrettyWhale.ai is an Engineering AI specialized in generating data ingestion pipelines. You give it one sample of a source and it returns executable code, unit and integration tests, data quality rules, schemas, configuration and documentation. One bundle, the same shape every time, running on your own infrastructure. In minutes rather than sprints.