Our Methodology

How we turn raw, messy government data into clean, actionable insights at scale.

Phase 1

Ingestion & Discovery

We identify high-value, "hard-to-parse" datasets. These are often PDF dumps, legacy CSVs, or public APIs buried in government websites. We write custom scrapers and parsers to ingest this data into our centralized warehouses.

.csv.pdf.json

Phase 2

Normalization & Logic

This is where the "Science" happens. We normalize mismatched entities, resolve duplicates, and apply business logic to calculate secondary metrics (e.g., Risk Scores, ROI, Price-per-unit). Our RiskResolver engines ensure mathematical consistency.

Phase 3

Programmatic Deployment

We deploy thousands of unique, SEO-optimized landing pages for every data permutation. Users find exactly what they are looking for (e.g., "Gastroscopy Cost 2026") without navigating complex menus.