Whether you're training a model, running a study, or building a dataset, bring us the task. We turn it into a game, real people play it, and you get clean, cross-validated annotations.
Bring us any data need - weather labels, Arabic dialects, dog breeds, content safety, anything. We plug it into a game or build a custom one, thousands of people play, and you get clean, cross-validated annotations.
Many tasks our games cover are exactly where labeled data is thinnest. Use Avenzoar to collect gold-standard, diverse datasets - with the inter-annotator agreement and provenance a paper needs.
Weather conditions, Arabic dialects, dog breeds, product reviews, road signs, content safety - any topic, any language.
We drop your data into one of our existing game formats, or design a brand-new game around your task.
A standing crowd of players annotates your data while having fun. The same item is judged by several players.
Cross-validated annotations, tagged and ready, delivered to your stack with full agreement metadata.
A few example tasks we've already built games for - the kind where labeled data is scarce and a large, diverse crowd helps most.
Written Arabic usually drops short vowels - so the same letters can be many different words. Restoring diacritics (tashkeel) is one of the hardest, highest-value problems in Arabic NLP.
Arabic OCR - especially handwriting and historical manuscripts - is notoriously unreliable. Human verification turns raw OCR into gold transcription data.
Arabic is dozens of distinct spoken dialects, not one language. Labeled dialect data is scarce - and essential for models that understand how people actually talk.
Safety classifiers need culturally-aware judgments of what counts as toxic or offensive - context that off-the-shelf models routinely get wrong.
Paraphrase and semantic-similarity labels train search, retrieval, and deduplication - and good similarity data is hard to come by.
Entity tagging powers everything from knowledge graphs to redaction. NER suffers from sparse, inconsistent labels - exactly what a big crowd fixes.
Send us the task and we'll come back with how we'd turn it into a game, expected timelines, and pricing.
