Greater Toronto Airport Authority Case Study

Greater Toronto Airports Authority (GTAA)

Passengers in airport with baggages reading the boarding time from the departure boards

Company: Toronto Pearson Airport

Location: Toronto, Ontario, Canada

Summary:

Toronto Pearson Airport is Canada's largest international airport. It serves over 50.5 million passengers to more than 155 cities around the world. The airport handles over 388,700 metric tonnes of cargo and supports over 30,000 jobs.

A jet bridge connects the terminal and the plane

Objective:

Pearson Airport was seeking a reputable testing service that could effectively analyze wastewater data to identify pathogens. Their requirements included a vendor that could deliver accurate and timely data consistently, while testing for multiple strains present in the water.

Solution:

Kraken Sense was initially brought on as a pilot by the originally contracted vendor. However, within a short timeframe, Kraken Sense acquired the entire vendor contract and began working directly with Pearson Airport. This enabled Kraken Sense to deploy multiple KRAKEN devices in various terminals throughout the airport. By doing so, Kraken Sense surpassed Pearson's goals in terms of the number of strains tested, detection accuracy, and turnaround time for data generation.

Several airplanes in the airport at dawn with lights on behind

Results:

Here are some of the key achievements since Kraken Sense's partnership with Pearson Airport:

15 samples per week: This is 7 times more than the industry standard.

Covered Terminals 1, 2, and Triturator: The system monitored for pathogens including three SARS-CoV-2 variants and M. pox.
Adaptable to Evolving Needs: The system was able to detect a new strain that emerged after implementation.
1-Hour Turnaround Time: This is 10x faster than traditional methods.
Automated Process: The system requires no trained scientists or technicians for operation.
Centralized Data Network: Pearson Airport can access data from all terminals through a single dashboard.