Enabling Scalable, Multimodal Data Excellence for a Global Tech Leader
Qualitest partnered with a global tech leader to scale multimodal data pipelines and accelerate GenAI model development.
The engagement enabled 95%+ annotation accuracy, 45% cost savings, and 40% productivity gains across medical and visual data projects.
Challenge
The client faced constraints in sourcing qualified professionals for medical annotation and ensuring consistent, compliant labeling across global regions. They also struggled to curate and enrich vast multimodal image datasets while meeting cultural, linguistic, and regulatory requirements.
Solution
Qualitest deployed a global, domain-driven framework combining licensed medical experts, multilingual curators, and advanced tools like GIMP for polygon tagging. This agile approach enabled accurate annotation, real-time feedback loops, provenance tracking, and compliant delivery across the U.S., Japan, Korea, and India.
95%+
First-Pass Acceptance
Achieved high annotation accuracy through robust multi-tier quality control.
45%+
Cost Reduction
Drove major savings via offshore delivery and performance-based incentives.
Client overview
The client is a global technology leader specializing in internet-based services, including search, advertising, software, and hardware. With operations spanning multiple continents, they needed a partner capable of scaling multimodal data pipelines, delivering domain-specific annotations, and ensuring model readiness for generative AI use cases.
