Your AI model is only as reliable as the data that trained it. Most marketplace AI teams know this in principle. Few have built the quality infrastructure to act on it. The result is a pattern that repeats across e-commerce platforms at scale: a model that performs well on benchmarks but degrades in production — […]
Learn MoreEnhancing AI Accuracy through Human Judgment and Intelligent Collaboration In today’s rapidly advancing Artificial Intelligence (AI) ecosystem, accuracy defines impact. Whether it’s autonomous vehicles detecting pedestrians, AR/VR systems tracking body motion, or healthcare AI analysing patient posture, the performance of these systems depends on one critical element Key-Point Annotation. Key-point annotation is the process of […]
Learn MoreAs large language models (LLMs) evolve in scale and capability, evaluating their performance, safety, and applicability has become a critical concern. Globally, research has matured to incorporate multi-dimensional benchmarks addressing robustness, fairness, factuality, and task generalization across domains and modalities. Despite these advances, significant gaps remain in evaluating LLMs for low-resource languages particularly those in […]
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For a leading e-commerce enterprise — AI-driven catalog validation across attributes, images, taxonomy, and multi-format content.
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