Targeted data sourcing can close gaps in language, domain and real-world coverage that broad datasets overlook.
Data sourcing identifies and secures the inputs AI systems needs to learn and perform. We do this through existing datasets and custom data collection through our DATAtalent AI contributor network.
Source hard-to-find data. Across languages, domains, and environments.
Build coverage across cultures, demographics, and contexts, with text, audio, image and video data.
Prioritize data quality, provenance, consent, and intended use.
Translation
Localization
Multilingual Content
Quality Assurance
01
Understand
We learn your content, audience, market, and brand requirements
02
Prepare
We establish terminology, references, workflows, and linguistic requirements
03
Adapt
Expert linguists translate, localize, or create content for your target markets
04
Quality Assurance
Linguistic, functional, & cultural quality checks ensure everything is ready
Human expertise and managed operations to turn complex sourcing requirements into reliable AI data.
We define sourcing requirements around your model’s goals, identifying suitable existing datasets and arranging custom collection where coverage falls short.
Our DATAtalent network connects you with AI contributors and domain experts across 200+ languages, bringing local knowledge and cultural context to your data.
Human review validates relevance, accuracy and suitability, supported by clear documentation of data origins, permissions and quality requirements.
AIDA Hub supports coordinated sourcing workflows, quality control and delivery. From pilot to AI deployment.
No datasets added yet.
