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Tell us where your model is misreading user intent —and which markets it’s getting wrong.
Relevance and intent failures are invisible in aggregate metrics. They show up when your model returns results that are technically correct but culturally off, geographically irrelevant, or simply not what the user meant.
Native judges who understand local intent
Geo-relevance and cultural adaptation assessed by native speakers in-market — not translated from English evaluation criteria.
155+ locales, including dialect-level coverage
Intent varies by region, dialect, and context. We cover the edge cases that generic evaluation misses.
Structured rubrics, not subjective ratings
Relevance, cultural fit, and intent alignment evaluated against defined criteria — not a 1–5 scale from a crowd panel.
155+
Locales
500k+
Expert contributors
25+
Years language services expertise
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