Road safety decisions start with better data.
Most crash analyses are slow, one-off, and undocumented. CrashStats pairs systematic road safety engineering with agentic AI to deliver rigorous, reproducible analytics — from the national picture down to a single corridor.
Road safety is data-intensive. The analysis rarely keeps up.
Crash records are rich but scattered. Network risk rating takes weeks to run manually. Before-after evaluations are skipped because the method is complex. Agencies and councils make investment decisions without the evidence base they need.
CrashStats automates the pipeline — so the analysis is available when the decision is being made, not after it.
From raw data to investment recommendation.
Measure the national picture
Live road toll analytics from BITRE and ABS. No manual compilation.
Rate the network
AusRAP Star Rating, IRR, and collective risk — systemic screening, not just hotspots.
Automate the pipeline
AI agents that gather data, run the analysis, and publish results without manual intervention.
Built for agencies, councils, and researchers who need to act on evidence.
Transport agencies commissioning network risk assessments. Local councils prioritising treatment programmes. Infrastructure investors evaluating road safety risk. Researchers needing reproducible crash data pipelines.
An engagement is structured work with a defined scope, method, and deliverable. How an engagement runs →