Text annotation gives NLP models the labeled examples they need to learn sentiment, entities, intent and context. Since 2017, Precise BPO has delivered datasets for sentiment analysis, named entity recognition, intent classification and document AI from our Pune delivery center, which runs 24/7 across time zones.
At Precise BPO Solution, our 540+ in-house team has delivered NLP datasets for finance, healthcare, retail, legal and customer-support teams, and has labeled 45M+ text records in total. We work in your annotation platform and with your taxonomy, so there is nothing to migrate.
For LLM fine-tuning and RLHF programs, we produce instruction and preference data to your guidelines, including response ranking and summarization quality review. We also label chatbot transcripts, intents and multilingual sentiment data. We work as an outsourced text annotation partner, so AI teams can move from pilot to production without building their own labeling team.
Every workflow follows practices aligned with ISO 27001, HIPAA and GDPR, so sensitive content is handled under controlled access. Multi-stage QA, annotation audits and feedback loops keep labels consistent from batch to batch. If your documents need de-identification, data entry or format conversion before or after labeling, we can handle that under the same NDA.
