AI data annotation

Training data your models can actually trust.

Kelxor's expert annotation teams label images, video, audio and text with multi-level quality checks, so you can scale your AI projects with confidence.

Computer visionAudio & speechText & NLPNDA-compliant
kelxor / workspace / vision
class

// drag on the scene to draw a bounding box

Layers0
    Output (sample)json
    
                
    select a segment to inspect its labels
    0.0s / 7.6s

    // waveform is illustrative

    Segment—
    Output (sample)json
    
                
    entities
    sentiment positive

    // toggle entity types · sample text is fictional

    Output (sample)json
    
                
    Services

    Annotation for every data type

    Accurate labeling across images, video, audio and text, tailored to your project and the model you're training.

    Computer vision annotation

    Accurate image and video labeling tailored to your project needs.

    • Bounding boxes
    • Object detection & tracking
    • Image segmentation
    • Keypoint & landmark

    Audio & speech annotation

    Detailed transcription and labeling for stronger speech recognition.

    • Speech-to-text transcription
    • Audio tagging & labeling
    • Intent & emotion detection

    Text & NLP annotation

    Customized text labeling that preserves clarity and context for NLP applications.

    • Sentiment analysis
    • Text classification
    • Named entity recognition
    • Custom NLP datasets
    Why Kelxor

    Quality built into every layer

    Multi-level checks, scalable teams and strict data protection, so datasets stay precise as your project grows.

    Your data

    Securely received under NDA.

    Annotation

    Trained annotators label to your guidelines.

    Multi-level review

    Layered quality checks catch errors early.

    Delivery

    Verified dataset delivered securely.

    High accuracy

    Multi-level quality checks for precise datasets.

    Scalable teams

    Hundreds of trained annotators ready for any project size, with flexible solutions that expand with your needs.

    Data security

    NDA-compliant and secure handling of sensitive data.

    Process

    From requirements to finished dataset

    A clear, streamlined approach to delivering precise data annotation.

    Initiate your project

    Share your AI project requirements so we can tailor our annotation services to your specific goals and data types.

    Annotation execution

    Our expert teams perform accurate computer vision, text and audio annotation to build high-quality datasets efficiently.

    Delivery & support

    Receive your annotated datasets securely, with ongoing support to optimize model training and scalability.

    Industry

    Autonomous vehicles

    Self-driving systems learn from labeled road data: vehicles, pedestrians, signs and lanes, frame after frame.

    Our computer vision teams handle bounding boxes, object detection and tracking, and segmentation for this work. The workspace above shows the idea in miniature.

    Discuss your data →

    • Object detection & trackingVehicles, pedestrians and signs followed across frames.
    • Image segmentationPixel-level regions for roads, lanes and surroundings.
    • Keypoint & landmark annotationPrecise reference points for complex shapes and poses.
    Security & privacy

    Your data stays yours

    Your datasets are your competitive edge. We protect them with strict protocols so you can build with confidence.

    • NDA-compliantSensitive data handled under signed confidentiality agreements.
    • Secure deliveryAnnotated datasets delivered securely to your team.
    • Strict protocolsClear rules for how data is accessed and handled at every step.
    Careers

    Help build the data behind AI

    We are growing our annotation teams. If you are detail-oriented and want to work on real AI projects, we would like to hear from you.

    Send a short introduction and the kind of work you are interested in.

    Apply by email →

    Contact

    Tell us about your dataset

    Share your data type, volume and what your model needs to learn. We will come back with how we would approach it.