Service

    Text Annotation

    We build high-quality NLP datasets for language understanding, moderation, and automation systems with consistent human-in-the-loop labeling.

    Section 01

    Use Cases

    Applied
    • Intent and topic classification for conversational AI
    • Named entity recognition for domain-specific corpora
    • Sentiment and emotion analysis for customer insights
    • Safety and content moderation model training

    Section 02

    Deliverables

    Output
    • Token/span-level annotations
    • Document and sentence-level class labels
    • Entity linking and relation tags
    • Adjudicated gold datasets

    Section 03

    Process

    1. 1Annotation policy and edge-case definitions
    2. 2Calibrated labeling with expert reviewers
    3. 3Inter-annotator agreement checks
    4. 4Versioned dataset handoff
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