Hyper Specific User Intent and Relevance for the Globe.

“The realism of generative AI models is increasingly reliant on trusted, high-quality human feedback. Welo Data has been a leader in this space for years and is helping us unlock the promise of generative AI.”

Customize your data solution to deliver hundreds of locales

Welo Data enables your models to operate in hundreds of locales across the world. Welo Data’s quality engine enables customizations on quality models, delivery methodologies, and workforce selection to provide best-in-class quality and efficiency.

Search, Product & Ad Relevance

Whether powering relevance for search engines, product searches, or ad personalization models, Relevance algorithms depend on large, human-generated datasets for accuracy. Welo Data leverages a highly segmented workforce, ranging from domain experts to generalists. Our deep client partnerships and industry experience ensure that your suite of models are adapted and appropriate to the languages and cultures of your users.

Intent Development

Human centered interactions require a wide variety of user intents to train models. Welo Data teams specialize in creating conversational utterance taxonomies to train your model for your use cases and your specific business goals. Our linguists and delivery teams are experts at ensuring contextual relevance across your entire data set use case.

Cultural Adaptation

Models must effectively engage with the diverse cultural contexts that your users, internal or external, bring to the table. Welo Data can adapt your data inputs or create them for you to account for cultural factors in assembling your workforce and producing linguistically and culturally accurate training data.

Geo and Map Relevance

Geo and Map models require relevant and accurate information, from pertinent and useful business details to street mappings and traffic signage. Transform your mapping and location-based services with our precise geographical data, ensuring top-notch accuracy for all your models


Common questions. Straight answers.

Relevance and intent modeling trains AI systems to understand what a user actually wants, whether that’s a search query, a product search, or an ad, so the model’s output matches real user intent rather than a literal keyword match.

Welo Data builds conversational utterance taxonomies and intent-labeled datasets tailored to a specific use case, using a workforce that ranges from generalist raters to domain experts depending on task complexity.

Geo and map relevance covers the accuracy of location-based AI systems: business details, points of interest, street mapping, and traffic signage validation, so mapping and location services return information that’s actually correct for a given place.

155+ locales, with a workforce segmented by domain expertise and cultural context so relevance judgments reflect how users in a specific market actually search and communicate, not a generic global default.

Search and ad relevance assess whether a specific result or ad matches a query or user profile. Intent development goes a layer deeper, building the taxonomies that classify what users are trying to accomplish in the first place, which then feeds both search and ad relevance models.