Data for LLM and NLP
Text data labelled, translated and checked by people who read the language.
What LLM / NLP needs
Language models and classic NLP systems both depend on text that is correctly labelled and truly representative of how a language is used.
We annotate, classify, translate and evaluate text across Indian and global languages, to a schema you control, with agreement statistics on every batch.
Data types
- Text
- Parallel text
- Labels
Industries
- Technology and software
- Banking and finance
- Healthcare
- Media and entertainment
- Retail and e-commerce
- Telecom
The data it takes
Entity and span labels
Names, places, products and domain terms marked in text.
Classification
Topic, intent, toxicity and sentiment labels at document or sentence level.
Parallel text
Aligned sentence pairs for translation and cross-lingual models.
Summaries and rewrites
Human-written summaries, paraphrases and style transfers.
Evaluation sets
Held-out questions and answers for measuring model quality by language.
How we collect it
- 01
Your text or ours
We label text you supply, or commission text written to a brief.
- 02
Schema and guidelines
A written labelling schema with examples and edge cases.
- 03
Native-language annotators
Annotators label in their first language, with expert review on sensitive classes.
- 04
Agreement tracked
Inter-annotator agreement per label so ambiguous classes are caught early.
Services that deliver it
Generative AI services
Prompts, preference pairs, rubric ratings and red teaming for language models.
Data annotation
Boxes, polygons, masks, cuboids and text labels, measured against gold.
Model evaluation
Human benchmarks that report rater agreement alongside the score.
Translation and localisation
Parallel corpora, localised content and multilingual datasets, translated by native professionals.
Related datasets
Agent and customer chat
Support chat across industries with intent, entity and resolution labels.
Learn more
BFSI agent and customer chat
Banking support chat covering disputes, onboarding, cards and collections.
Learn more
Retail agent and customer chat
Order, returns, delivery and product enquiry conversations.
Learn moreTell us about your LLM / NLP project.
Describe the model and what it gets wrong today. You get volumes, languages, a quality target and a price, usually inside two working days.
- Reply within one working day
- A pilot batch you accept before we scale
Questions we get asked
Which label formats can you export?
JSONL, CSV, CoNLL and custom schemas.
Can you work on sensitive text?
Yes, in private pools under NDA and with access controls agreed up front.
