Text data collection and annotation
Multilingual text collection and annotation for NLP and language models, covering named-entity recognition, classification, intent tagging, and document corpora across 40+ languages.
ConsultBae collects and annotates multilingual text for NLP and language models, covering named-entity recognition, classification, intent tagging, and large document corpora across 40+ languages. Every batch runs through trained reviewers and statistical QA to keep labels consistent and model-ready.
- NER, classification, intent tagging, document corpora
- 40+ languages, from a network spanning 100+
- Domain-expert annotation for specialist content
- 98% delivered accuracy
Which NLP annotation tasks does ConsultBae cover?
- Named-entity recognition
- Classification
- Intent tagging
- Document corpus annotation
- Domain-expert annotation
Why does domain expertise matter for text annotation?
Generic crowdwork can label obvious things. It cannot judge whether a medical, legal, or technical statement is actually correct, because that needs someone who knows the field. So for specialist text we source annotators with real domain knowledge. It is the same expertise that alignment and evaluation work depends on.
How much text data has ConsultBae annotated?
Where is text training data used?
- NLP models
- Search and classification
- Content understanding and moderation
- LLM training and evaluation
Related services
Tell us the languages, the labels and the volume
A plan and a timeline within 24 hours.