AI-OptimizedTraffic.SmarterCities.
The entire city traffic grid, optimized by AI, reducing congestion, emissions, and wait times everywhere.
The Problem
Traffic lights haven't fundamentally
changed in 100 years.
Fixed timers, outdated infrastructure, and zero updated technology. The cost? Immense and entirely preventable.
Outdated Technology
Most traffic lights still run on fixed timers programmed decades ago, blind to the cars actually sitting at the intersection. While every other piece of city infrastructure has gone digital, the lights controlling 320,000+ intersections across North America haven't fundamentally changed since the 1970s.
Wasted Time
Drivers in the GTHA lose upwards of 100 hours every year idling at poorly timed lights — that translates into over $44 billion in annual losses across the region, projected to surpass $100 billion by 2044. Multiply that by every commuter in every Canadian city, and traffic congestion quietly becomes one of the largest hidden taxes on modern life.
Emissions
Every year, idling vehicles in Canada waste billions of litres of fuel and pump millions of tonnes of CO₂ into the air, for cars going nowhere. Across the GTHA, poorly timed intersections aren't just an inconvenience. They're a major, fixable contributor to urban air pollution.
Our Solution
Smarter lights.
Smoother cities.
We replace static timing plans with AI that sees the entire city grid at once.
Our system pulls live data from existing infrastructure such as sensors, probe data, and origin destination data and generates optimized timing plans across every intersection simultaneously. No isolated fixes. The whole network moves together.
Our Impact
Real results, measurable change.
Real results from our V1 AI traffic light optimizer prototype, compared to the current system on Danforth Avenue from Coxwell Avenue to Greenwood Avenue in Toronto.
Click any node to explore.
Validation
Backed by experts.
Industry leaders and researchers see the future of AI in urban mobility.
Baher Abdulhai
Professor, Dept. of Civil & Mineral Engineering
University of Toronto
Expert in Intelligent Transportation Systems
A city-wide system like the one you are creating would absolutely be useful. It can save people a lot of time and therefore money. In addition to money, pollution would also drop. And the cherry on top is less anxiety in traffic, which is priceless!
Luke Piette
Director of Product-Led Growth
RunPod
Extensive experience in AI infrastructure and compute
Yes, doing something like what you are proposing is definitely possible. You don't even need to validate it, it is possible.
Get in touch
Ready to make your city move smarter?
Whether you're a city official, a partner, or just curious, we'd love to hear from you.
Or email us directly at ben23412341@gmail.com