We tried. That's actually how Carreb started.
We spent countless hours across multiple AI models trying to make sense of vehicle ownership costs — fuel, servicing, insurance, depreciation, emissions — and every model gave us different answers. We ended up buried in spreadsheets trying to reconcile the outputs. It was slow, inconsistent, and utterly confusing — even for a physicist.
That experience revealed five fundamental limitations of using AI tools alone for this:
- Incomplete coverage. They look at a subset of cars — without telling you which ones they skipped. The best-rated option may never even appear.
- No structured model. Even with good data, they have no proven, consistent algorithm to process it. Same data in, different answers out.
- Inconsistent outputs. Ask the same question twice and you may get a completely different response.
- No decision tools. No CORE™ Rating. No CORE™ Dial. No estimated savings analysis. No Spotlights™. No RideReveal™. Just unstructured text you have to interpret yourself.
- Slow. Hours of prompting and spreadsheets to piece together what Carreb delivers in seconds.
Carreb uses AI too — to source specific data points. But the difference is what happens next: structured, proven algorithms transform that data across every new car in the Australian market into a simple, consistent, stress-free output — for less than the price of a coffee.
All outputs are calculated estimates provided for informational purposes only. They are not financial advice, valuations, guarantees, or recommendations.