ILLUSTRATIVE ARCHITECTURE
From thousands of pages to a structured dataset.
We design pipelines that discover, acquire, structure, and maintain information from complex sources.
Illustrative technical example. Does not represent client results.
- 01Web
- 02Discovery
- 03Acquisition
- 04Parsing
- 05Validation
- 06PostgreSQL
- 07Dataset / API
A complex source. A traceable process.
This example explains how an acquisition pipeline can be designed. Scope, feasibility, and terms of use are evaluated before collecting data.
01 / Research and acquire
An inventory of sources, access conditions, licenses, and provenance. Acquisition with rate limits, error handling, and a log of every run.
02 / Structure and validate
Parsing, normalization, deduplication, and schema validation. Incomplete or inconsistent records are separated for review.
03 / Deliver and operate
PostgreSQL storage, a data dictionary, and delivery as a dataset or API. Monitoring for freshness, source changes, and quality.
FROM QUESTION TO SYSTEM
Your next project starts with a data point.
Or one that doesn’t exist yet.