A desktop app and SDK that removes personal information from Australian location datasets — privately, on-device, with coordinate-privacy modes that keep your data analytically useful.
A focused tool for the people who actually have to share sensitive location data — analysts, privacy officers, data engineers.
In local mode every byte of your data stays on your machine. PII detection, address geocoding, and coordinate transforms all run entirely on-device.
G-NAF address parser, ABS statistical boundaries (SA1–SA4, LGA, postcode), and AU-specific regex patterns — Medicare, TFN, AU mobile numbers, AU street addresses. Not a generic global tool retrofitted.
Pick the modality that matches your downstream use — H3 hex bins, jittered points, ABS centroids, or drop entirely. Jittered points never land in oceans or parks (boundary-aware exclusion zones).
Synthetic replacements are seeded (predictable to you, not to attackers). Every run emits a report: detection counts, redaction modes applied, rows processed.
Drop a CSV (or point the SDK at one). Transform auto-detects columns — names, emails, phones, addresses, lat/lng.
Per-column: keep, redact, synthesise, or drop. Pick your coordinate-privacy mode and set a seed for reproducibility.
Run. Get a privacy-safe CSV plus a JSON report (rows processed, PII spans found, modes applied) you can hand to a privacy officer.
Each mode is tunable. Match the privacy guarantee to the downstream use case.
Snap each lat/lng to the centroid of an H3 cell at the resolution you pick (0–15, default 8 ≈ 460 m).
Use when: building heatmaps or aggregating to a grid.
Add seeded random displacement within a min/max radius (default 50–300 m). Exclusion zones keep points out of water and parks.
Use when: preserving point density without exposing exact location.
Replace coordinates with the SA1/SA2/SA3/SA4/LGA/postcode centroid that contains the point.
Use when: reporting against standard Australian statistical geographies.
Remove the coordinate columns entirely.
Use when: location isn't needed by the downstream consumer.
Run Transform from the desktop app, your TypeScript codebase, your Python pipeline, or behind a proxy that strips PII from upstream API responses.
Transform is a tool that helps your team meet its obligations — you remain the data controller. We just make the "anonymise before sharing" step less painful.
Built with APP 11 (security) and APP 6 (use/disclosure) in mind.
Reduce your breach surface by anonymising data before it leaves your environment.
Suitable for health (Medicare), tax (TFN), and finance. State health-records acts in scope.
Transform is in late-stage development. Waitlist members get early-access builds, a chance to shape the roadmap, and first dibs on launch pricing.