CHECK OUR CASE STUDY
Scaled AMD’s TADA engineering capacity with nearshore senior talent to accelerate high-performance development.
Summary
DatafuelX is a data-driven technology company that helps media organizations and advertisers optimize linear and digital TV campaigns through advanced audience-focused planning, pricing, and forecasting tools. Their proprietary platform uses AI and predictive analytics to maximize audience reach and campaign effectiveness, enabling clients such as broadcasters, agencies, and marketers to make smarter investment choices.
Accelerated delivery capacity by
50%
We reduced sprint cycle times by
25%
The Challenge
As DatafuelX expanded across North America, it needed to scale software development and data engineering to meet rising demand. New features and integrations had to ship quickly across forecasting and attribution platforms while maintaining data accuracy and cost control.
“Existing delivery models could not scale fast enough, creating risk to project timelines and customer onboarding.”
Our Solution
ParallelStaff partnered with DatafuelX to extend its delivery capacity through a nearshore engineering model focused on data analytics, full-stack development, and DevOps. Integrated into existing workflows, the team supported critical releases, streamlined data pipelines, and improved platform scalability. This partnership enabled DatafuelX to maintain rapid innovation while staying within budget.
Delivery Model
All Technologies we used
The Results
- Accelerated delivery capacity by 50%, enabling engineering teams to scale quickly and stay ahead of roadmap commitments.
- Achieved measurable budget efficiency in engineering operations, freeing product development and innovation resources.
- We reduced sprint cycle times by 25%, enabling faster audience analytics and media forecasting tools.
- Supported DatafuelX to expand its client base and deploy new integrations with major media partners.


