Case Study: poolside defines and measures AI quality for developers with Toloka

poolside improves AI quality evaluation with Toloka using 85% agreement target

Toloka helped Poolside, a leader in proprietary software engineering models, overcome the challenge of reliably measuring which of its AI model's answers were more helpful to developers, a task that is often subjective and hard to standardize beyond simple accuracy.

The solution implemented by Toloka was a custom evaluation framework centered on pairwise comparison. This process used expert evaluators to categorize developer intent, apply a tailored rubric, and directly compare model responses to determine which was more useful, providing consistent and context-grounded judgments. This gave Poolside a shared baseline for quality and delivered actionable insights into model performance, turning subjective quality control into a repeatable process.

Poolside