Services

    Built for Reliable AI Data Labeling

    Quadzen AI delivers production-grade annotation with strong QA, secure handling, and fast execution so your models can train on consistent, high-confidence data across vision, language, and multimodal tasks.

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    Multimodal Annotation Services

    Image Annotation

    Bounding boxes, segmentation, classification, and keypoint detection for training computer vision models.

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    Video Annotation

    Object tracking, frame-by-frame labeling, and temporal annotations for dynamic visual datasets.

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    Text Annotation

    Sentiment analysis, named entity recognition, and text classification at scale.

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    Audio Annotation

    Transcription, speaker labeling, and audio event classification.

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    LiDAR Annotation

    3D point cloud annotation and object detection for autonomous driving and robotics systems.

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    OCR Annotation

    Document and text extraction labeling for receipts, forms, IDs, and invoice processing pipelines.

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    RLHF Annotation

    Human preference ranking, response quality scoring, and feedback datasets for fine-tuning LLM behavior.

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    What Makes Our Annotation Delivery Different

    Annotation workflow and tool integration for AI pipeline compatibility.

    Pipeline-Compatible Delivery

    We adapt to your existing tools, taxonomies, and export formats instead of forcing a platform migration.

    High-volume annotation operations for multimodal AI datasets.

    High-Throughput Annotation Operations

    Our operators handle large dataset volumes across vision, language, and multimodal projects with consistent output quality.

    Quality assurance process for consistent and accurate data annotation.

    Quality-Controlled Label Consistency

    Each batch goes through layered review, calibration checks, and guideline enforcement to minimize label drift.

    Scalable human-in-the-loop annotation team supporting project growth.

    Elastic Human-in-the-Loop Capacity

    Whether you start with a pilot or a production rollout, annotation bandwidth scales with your roadmap.

    From Kickoff to Delivery: Our Annotation Process

    1. 1Project kickoff and annotation requirement alignment
    2. 2Sample annotation run for quality and effort estimation
    3. 3Instruction refinement based on your feedback
    4. 4Quality-controlled production annotation at scale
    5. 5Secure final dataset delivery in your required format