The Future of Traffic
Starts Without Digging Up Roads.
AI-powered traffic intelligence that plugs into existing infrastructure to reduce congestion, fuel consumption and emissions.
Cities are losing millions at every intersection.
Most traffic systems are reactive. They respond after congestion forms — not before. A driver idling alone at a red light at 11 PM is the same logic running at peak hour.
Empty intersection. Red light. 11:47 PM.
Fixed timing plans treat 11 PM like rush hour. The driver waits 90 seconds. Multiply this by 70,000 intersections nationwide, every night.
FlowAI sees the vehicle. Light turns green.
Edge AI detects approach, classifies vehicle type, predicts no conflict. Phase released in 2.4 seconds. Fuel saved. CO₂ avoided.
The global pivot to intelligent traffic systems.
The market is already validating the category. The missing piece is affordable retrofit.
Smarter intersections, without replacing infrastructure.
Traditional approach
- Road excavation
- Road closures
- Controller replacement
- Months of disruption
FlowAI approach
- Install sensor
- Connect AI edge device
- Activate analytics
- Immediate insights
How FlowAI works.
Four layers. No infrastructure replacement. Edge-first AI feeding intelligence into systems councils already operate.
Traffic sensors
Camera · radar · LiDAR
Edge AI processing
Vehicle detection · classification · speed · queue · prediction
FlowAI intelligence engine
Optimisation · prioritisation · green-wave
Existing infrastructure
SCATS · controllers · signals — unchanged
Built around existing Australian infrastructure.
| Vendor | SCATS | Detector Input | Retrofit | API Ready | Edge AI |
|---|---|---|---|---|---|
| Aldridge | |||||
| Siemens | |||||
| Yunex | |||||
| Q-Free | |||||
| Traffic Technologies |
Independent audit across 5 leading AU controller vendors.
Measure first. Optimise second.
A five-phase pathway designed for regulatory approval, public safety and council confidence.
Right sensor. Right job.
AI Camera
Radar
LiDAR
Camera + Radar Fusion
Prove value before deployment.
A 12-week pilot delivers a live KPI dashboard for every intersection — measurable impact in weeks, not budget cycles.
Designed for fast approval.
Low regulatory risk.
During pilot, FlowAI performs no live signal control. Phase 1 is observation only — analytics flow one way. This collapses the approval timeline from years to weeks.
An aligned coalition of stakeholders.
- Main Roads WA
- City of Joondalup
- City of Perth
- City of Stirling
- City of Wanneroo
- Curtin University
- UWA
- RAC WA
Every signalised intersection is a potential customer.
Intelligent transport systems by 2030 · 11% CAGR
~70,000 signalised intersections, 90% retrofit-eligible
3,500 intersections under SaaS contract
A revenue ladder that compounds.
Traffic Analytics SaaS
Continuous KPI insights, council dashboards.
AI Recommendations
Engineering-grade timing recommendations.
Signal Optimisation
Closed-loop adaptive control with controllers.
Enterprise Licensing
Statewide / national multi-year licensing.
From pilot to global smart-city platform.
WA pilots with 1–3 council partners. KPI evidence.
First 50 paid intersections. SaaS GA.
500+ intersections across WA + east-coast entry.
Multi-state rollout. Series A scale.
ANZ → SEA → Middle East. 5,000+ intersections.
Building the intelligence layer for future cities.
Massive market
$42B global ITS market, growing 11% CAGR.
Low infrastructure cost
Retrofit avoids 90%+ of legacy deployment cost.
Strong ESG story
Measurable CO₂, fuel and time savings per intersection.
Government demand
Net-zero mandates + congestion pressure align buyers.
Scalable SaaS revenue
Per-intersection monthly ARR with 4 expansion stages.
Large data moat
Proprietary traffic dataset compounds with every site.
Ready to make intersections smarter?
Join us in transforming how cities move — without digging up a single road.