01Product
AI Data Pipeline
Every new data source is a project: credentials, extraction, modelling, indicators, and a report at the end. The list of sources a company wants is always longer than the team that can connect them.
Describe the integration you need and specialised agents build the pipeline that delivers it.
02Audience
Who it is for
Companies whose data sits in the tools they bought and never reaches a single report.
03Features
What it does
- Integration described in conversation: the source, what to extract, and what it should become.
- A pipeline in named stages, from credentials and extractions to datasets, entities and indicators.
- A specialist agent per stage, with an orchestrator routing the work and holding the session.
- Reports and documentation produced from the same definitions the pipeline runs on.
04Access
Where it stands
In development
This one is still being built. Write if you want to follow it or use it early.
05Contact
Get in touch about your use
Say what you want the product to do in your operation. Giulliano Soares is who answers.