Victorian planning answers, with the rule behind every one.

Client: Our in-house startup
Sector: Proptech
Services: AI agents, MVP, Custom software, UI/UX design
Status: Early access

PropyChat on a Port Melbourne lot: the site panel with its zone, an answer that cites the planning clauses, the lot measured on the map, and the zone and overlay layers. — Note 1: Every site opens with its zone, schedule and overlays.
Note 2: Ask in plain words. Each answer shows the planning rule it came from.
Note 3: It measures the lot on the map and tests what fits against the zone's own rules.

The challenge

Planning answers take hours to days, and the data behind them is public but scattered.

What we built

A public AI chat with the planning rule cited on every answer, property cards, site analysis, a property finder, suburb intelligence, a developer API, and the state's planning data held in our own database.

How the automation works

Ask in plain words. The system finds the property, reads the zone, schedule and overlays, measures the lot and tests what fits against the zone's own rules. When the rules are silent, it says so.

What changed

4.1M+

Victorian properties, with their planning, that PropyChat answers about

Measured: count of properties in the PropyChat database, 14 September 2026 (4,187,991).

9 months

First line of code to early access

Stack

Real code, Postgres with PostGIS and 33 GB of planning data, hosted in Sydney, the Claude AI model.

Same service or sector

Start here

Have an idea like this one?

Book a call

1Tell us the crux in a short form.
2We reply within one business day, with a straight answer on fit.
3Pick a time that suits you for a 30-minute call.