Case Study: Pitstop

Roadside breakdowns are a common and expensive annoyance for motorists the world over. In 2015, there were 35 million of them in the U.S. alone. Currently, there’s no readily accessible way to determine if a vehicle’s components are nearing malfunction-failure stage. The results: missed meetings, family vacation disasters, and expensive towing-repair charges: we’ll all been there.

Is there a better way: a solution? Yes, now there is – and it’s AI-driven.

Pitstop is a Toronto, Canada-based AI company that’s engineered a way to eliminate roadside breakdowns by proactive, predictive computation and real-time communications.

Their tech involves:

Mobile app, telematics device and artificial intelligence

How it works:

An on-board AI data engine integrates incoming data from 300 sensors within a vehicle and combines it with:

  • Aggregate info compiled from supply chain
  • Dealership service records over past 10 years
  • Auto manufacturers’ component servicing recommendations


Adherence to emissions standards confirmed, component failure predicted and maintenance needs identified. Flagged items communicated in real-time to the dealership and vehicle serviced before disaster strikes.


This video provides an explanation of how machines learn and develop artificial intelligence.