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Text & NLP Annotation

Linguistically careful labels for messages, articles, reports, and conversations, with clear guidelines for ambiguous cases.

Text & NLP Annotation example

What we annotate

Common task types. Every project follows guidelines agreed with you at scoping.

Named entity recognition

Tagging people, organisations, places, products, and domain terms.

Intent & sentiment

Labelling purpose, tone, and emotion in text.

Text classification

Sorting documents and messages into your categories.

Relation extraction

Linking entities that are connected, for knowledge graphs and search.

Question & answer pairs

Writing and checking Q&A pairs for search and assistants.

Multilingual text

Annotation across languages and scripts, including Indian languages where agreed.

AI Needs More Than Data.

Talk to our team about annotation programs, datasets, and enterprise AI infrastructure tailored to your domain.