Case Study: Bitext achieves up to 15% better AI model performance with Optimational's linguistic data annotation solutions

Bitext improves AI model performance by up to 15% with Optimational

Bitext, a leader in developing enterprise Q&A systems, faced challenges with complex and evolving linguistic data annotation requirements for its AI models. They required a partner to handle specialized, non-standard annotations and adapt to frequently changing guidelines. Bitext turned to Optimational for its tailored linguistic data annotation solutions.

Optimational provided customized annotation services with a flexible, agile methodology, enabling high-quality deliveries and proactive issue identification. This collaboration resulted in AI models trained with Optimational's data achieving performance improvements of up to 15%, while annotations consistently met accuracy thresholds of 90% or higher. The partnership also significantly enhanced Bitext's ability to scale its human-in-the-loop processes efficiently.

Bitext