Data Solutions: Not sexy but it’s an all-action thriller
Here's a fun problem. In August 2026, two of Australia's most respected property data houses looked at the same month, using the same underlying transactions and came back with answers that were nearly four times apart.
Cotality's Home Value Index said national values fell 0.9%, putting the median dwelling at $912,885 and the market 3.6% below its March peak.
PropTrack's Home Price Index said the dip was 0.2%, with values 2.7% below peak and still 1.8% up on a year ago (PropTrack Home Price Index, 31 August 2026).
Sydney’s malaise in August found the sharpest split: 1.4% versus 0.3%, and 7.1% versus 4.9% from the peak, which was evident when analysing the indexes at the time of writing.
Neither is wrong.
They use different transaction sets, different models and different revision practices.
In a rising market, nobody stops to care too much. We’re all making money, after all. But when the sector starts to slide, that’s when buyers and sellers bring out the calculators and journalists gleefully sharpen their pencils.
It’s a serious business for anyone wanting to refinance their mortgage or purchase a property, as they can expect valuations to come in considerably lower than anticipated simply because of our reliance on this industry data.
Which brings us to the 55 companies in the Data Services & Solutions category of the 2026 Proptech Map.
It's the third-biggest cluster on the board and easily the least glamorous. But nearly every other category on the map relies on it. There are 55 companies on the map, and we’ve split them into five basic layers. The interpretation may not be to everyone’s liking, but here goes!
Layer One – The spine.
These companies would include well-known operators like Cotality, REA PropTrack, Domain Insight, PriceFinder, National Property Group, Point Data, Proptech Data and 42Property. Others should include companies like ID4Me on verified homeowner contact data, Fynd on title searches and the fast-emerging Terralytics on mapped land data.
This is what everyone else licenses.
It's a good business to be in: The company’s ASX announcement of 6 August said REA Group's FY26 numbers rose up 7% to $1.793 billion. PropTrack revenue increased 13%, which meant the data arm grew nearly twice as fast as the group in a year when national buy listings finished flat. When listings stall and data dollars grow 13%, that tells you something about where the durable margin lives.
Layer Two – Location intelligence
It’s the biggest sub-group at 15 companies. They are Landchecker, GapMaps, Mapulus, OneMap, OneZeroOne, MapAI, Arealytics, FrontierSI, DAS (Digital Agriculture Services), Pathzz, Place Intelligence, Neighbourlytics, BindiMaps doing indoor wayfinding, plus Hoverscape and Xplorate Pacific, which captures assets from the air.
They share a belief that you can't understand a property without understanding what's around it.
Layer Three – Residential investor analytics.
Hotspotting, HTAG Analytics, Microburbs, SuburbsFinder, Real Estate Investar, Properlytics, Propmetrics, Gameplans, Homesnoop, and Cohabit Platforms on strata building intelligence come under this heading.
In general, these companies ingest the data from the big players like REA and Domain and turn them into guidance – a kind of “buy this suburb, not that one” approach.
Layer Four – Commercial & Institutional.
The companies within this bracket are Sophilab, viuw, Valte, Build-App, MRI Investment Management, MRI Agora, Wisyplan for AEC project teams, Price Wizard, which does revenue management for build-to-rent, and Willow and Bitpool, which is turning live building systems into portfolio-level data.
Layer Five – Agency & Operational Data.
Here, we’re seeing some fascinating players. GetSonar.AI is trying to create a Performance Intelligence category within real estate for sales team management and performance. Then there is REAP Dashboard that provides insights into agency profitability. Voqo AI resurrects dead CRM records. WebIT+ListOnce, Billie Onsite on AI-assessed inspection reports, Data Army, Zapiio, and sentiment specialists Placescore and Prescient Research round out the category.
Understanding the realities of data collection and the reasons for different answers to the same question needs to be better explained and understood within the industry. When a market tumbles, assuming everyone knows how data collection works is a dangerous assumption.
So, here are a few things to consider in this context:
1. Methodology is the product.
When two credible indexes disagree by 1.1 percentage points on Sydney in a single month (Cotality, 1 September 2026; PropTrack, 31 August 2026), the buyer's question changes.
It stops being, “What's the number?” It becomes “how did you get the number, and how often do you quietly revise it?”
That's good news if you can show your working. It's uncomfortable if your product is a scoring layer sitting on somebody else's licensed feed. Why? Because when the feed itself is contested, you have no independent ground to stand on. And there might be no answer when a client asks why your number moved.
The companies with real defensibility here are the ones who own a dataset nobody else has: Neighbourlytics on lifestyle signals, Pathzz and GapMaps on movement and catchment, Place Score and Prescient on sentiment, Hoverscape and Xplorate on captured imagery.
However, if you're building a business in this space and ingested data is licensed, you’re possibly living with a vulnerability.
2. Automated valuations face regulatory scrutiny
From 10 December, Privacy Act amendments require organisations to disclose in their privacy policies where automated decision-making systems make, or substantially help make, decisions with significant effects on individuals.
The consultation paper by the Officer of the Australian Information Commissioner (OAIC) signals a deliberately broad reading of what counts ( submissions closed 15 June 2026).
Tranche 2 reform proposals landed on top of that and, separately, private sector organisations are to become eligible to join the Australian Government Digital ID System from 30 November 2026 (OpenID Foundation submission to ARNECC, 21 August 2026).
Put those together and the implication is unavoidable. Explanations are going to be demanded for all manner of real estate-related assessments, such as the automated valuation, rental price recommendation, tenant score and a suburb risk rating. A black box with a confidence level or margin of error is unlikely to survive scrutiny if tested.
Founders who build explainability in early get to sell it as a feature. Everyone else retrofits it in November.
3. The price of physical risk
The Insurance Council of Australia counts roughly 1.4 million properties with some flood exposure, including almost 300,000 facing severe-to-extreme annual risk, concentrated in NSW, Queensland and Victoria (ICA, 4 September). It is publicly calling for a nationally consistent climate hazard information baseline, arguing that inconsistent Commonwealth, state and territory datasets undermine risk assessment and land-use planning.
Insurers such as NRMA, Suncorp, NAB Insurance, have already begun recognising Resilience Ratings in premium pricing.
Bottom Line:
Data Solutions may not be the sexiest Proptech Map, but there’s an amazing amount happening that will affect everyone in the Proptech sector and the real estate industry.
Right now, we have a regulator asking for a standard, an insurance industry already pricing off it, and 1.4 million exposed properties. Hazard and resilience data is heading into every valuation, lending decision and premium. Yet, on this map, maybe a handful of companies touch it.
If you're looking for the clearest commercial white space in Australian proptech right now, surely this has to be it. There’s a stated demand with buyers attached.
Data Services & Solutions is part of the staged release of the 2026 Proptech Map. Missing from the map, or in the wrong category? Contact our Membership Services Specialist, Patricia Louise, at members@proptechaustralia.com.au.
