Case Study

Entertainment Company Sees 30% ROI

Summary

A streaming services company based in Redondo Beach, California. Their platform powers live and on-demand video streaming, providing broadcasters with custom websites and apps. With rising demand for faster development and higher-quality apps, Riivet partnered with ParallelStaff for expert developer support.

parallelstaff- The word rivet is written in bold, black lowercase letters on a red background. The two i letters are stylized to resemble an actual rivet, with curved shapes above and below them.

Reduced development cycles by

25%

Cut ramp-up time by

40%

The Challenge

As product scope grew, the existing delivery model struggled to keep pace. The challenge was accelerating application development and optimization using JavaScript and Ruby on Rails without sacrificing performance, quality, or financial discipline.

“Riivet needed to rapidly expand its presence across multiple streaming platforms while operating within strict budget constraints.”

Our Solution

ParallelStaff partnered with Riivet to extend its application delivery capability through a nearshore engineering model centered on JavaScript and Ruby on Rails expertise. The team integrated directly into the client’s product workflows, contributing to the development, optimization, and scaling of streaming applications. This approach enabled faster iteration, improved efficiency, and sustainable growth across platforms while maintaining cost control.

Delivery Model

Staff Augmentation

Dedicated Teams

Software Outsourcing

All Technologies we used

The Results

Reduced development cycles by 25% by streamlining execution and minimizing coordination overhead.

Cut ramp-up time by 40% enabling internal teams to stay focused on roadmap execution and higher-impact initiatives.

Extended application delivery across additional streaming platforms while maintaining performance, quality, and release speed.

Enabled seamless collaboration through direct integration with the client’s delivery workflows, supporting predictable sprints and on-time releases.