Case Study: Sirqul accelerates IoT analytics and simulations with TidalScale

TidalScale enables Sirqul to Build and Deploy IoT “Intelligence of Things” Solutions

Sirqul, a developer of a full-stack IoT platform, faced challenges processing massive, complex data sets for applications like vehicle route simulation and retail analytics. Their workloads, which involved millions of permutations, were too large for standard cloud platforms, often running out of memory and taking days to complete, hindering their ability to deliver real-time insights to their customers.

By implementing TidalScale’s Software-Defined Server technology, Sirqul gained the ability to dynamically combine servers into a single powerful system to handle these unpredictable workloads. This solution allowed them to process a vast vehicle routing data set in just six hours instead of days and successfully deploy a country-wide IoT system for 4 million vehicles. TidalScale enabled Sirqul to deliver large-scale, real-time analytics, providing a significant competitive advantage in retail, logistics, and stadium venue applications.

Sirqul

Robert Frederick

Chief Executive Officer and President