Case Study: Eidos-Montréal achieves better customer insights with Kili Technology

How Eidos-Montréal uses machine learning to leverage the Voice of the Customer and make better strategic decisions

Eidos Montreal, a major video game developer, faced significant challenges in training machine learning models on a large volume of unstructured player and journalistic reviews. Their open-source annotation tool was not scalable, leading to poor annotation quality and inefficiency as they relied on internal staff. To leverage this voice-of-customer data for strategic decisions, they turned to Kili Technology for a professional data labeling solution.

By implementing the Kili platform, Eidos Montreal gained access to a professional, gaming-literate workforce and advanced quality control features like consensus scoring. This provided the high-quality, consistent training data needed to build accurate NLP models for sentiment and topic analysis. The solution empowered business and development teams with reliable customer insights, confirming market trends and providing direct feedback on game features. The success with Kili Technology has positioned the team to scale their analysis and build an automated, continuous improvement workflow.

Eidos Montreal

Marie de Léséleuc

Director of Analytics and Data Science