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    Data Annotation & Labeling Services By Pripton - English

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    Deployed on AWS
    The Pripton Data Annotation platform delivers high-quality, scalable annotation across images, video, LiDAR, text, and documents to support Machine Learning, NLP, and Computer Vision applications. Platform jobs achieve 98.5% average accuracy with 500+ trained annotators across multiple locations.

    Overview

    The Pripton Data Annotation platform enables end-to-end annotation and labelling for AI development across a wide range of industries. Platform capabilities cover image, video, LiDAR, text, and document annotation supporting complex Machine Learning, NLP, and Computer Vision workflows with precision and consistency.

    Annotation jobs are processed across multiple facilities with high-quality data security and operational efficiency. Platform clients range from Fortune 100 organisations to emerging AI startups. Strict NDA and compliance frameworks apply to all data processed through the platform.

    Platform annotation capabilities include semantic segmentation, bounding boxes, polygon and key-point annotation, object tracking, NER, sentiment analysis, content moderation, and intelligent document processing.

    Platform capabilities span multiple industry verticals: Autonomous Vehicles, Healthcare AI, Geospatial, Finance, Robotics, eCommerce, Retail, Public Sector, Manufacturing, and more.

    KEY FEATURES:

    • End-to-end annotation across image, video, LiDAR, text, and document data
    • Semantic segmentation, bounding boxes, polygon and key-point annotation, NER, and content moderation
    • 98.5% average accuracy with NDA-compliant processing
    • Concurrent job processing for high-volume annotation pipelines
    • Secure cloud storage for all annotation assets
    • Priority support for enterprise customers

    PERFECT FOR:

    • Computer vision training dataset annotation
    • NLP and text classification dataset preparation
    • Autonomous vehicle sensor data labelling
    • Medical imaging annotation
    • Retail product catalogue enrichment

    PRICING: Pay-as-you-go pricing per platform hour. No setup fees, no minimum commitment.

    GETTING STARTED: Subscribe through AWS Marketplace and access the Pripton portal immediately. Submit your first annotation job, track progress in real time, and download completed results from your dashboard.

    Highlights

    • Quality Assured: 98.5% average accuracy across all annotation jobs. Strict NDA compliance. Secure processing with rigorous quality control protocols.
    • Scalable Output: 60,000+ images annotated daily. 50,000+ text units processed daily. 40,000+ video frames labelled daily.
    • Full Coverage: End-to-end annotation across image, video, LiDAR, text, and document data. Multi-domain coverage across Autonomous Vehicles, Healthcare AI, Geospatial, Finance, and more.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Data Annotation & Labeling Services By Pripton - English

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

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    Dimension
    Description
    Cost/unit
    Human Review Services
    Human review for AI/ML with no upfront costs and hourly billing.
    $5.00

    AI Insights

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    Dimensions summary

    This listing has one pricing dimension: Human Review Services, billed by the unit. You pay hourly for human review work on AI and machine learning projects, with no upfront commitment. Pricing scales with usage, so your cost grows with the number of review hours you use. There are no tiers or instance sizes to choose between. You subscribe with your AWS account, then submit review jobs through the vendor portal and download results when the work is finished.

    Top-of-mind questions for buyers

    A unit maps to an hour of human review work on your AI or machine learning data. Trained reviewers score answers, check facts, rate responses and flag unsafe output. You are billed for the review hours used, so the count reflects actual time reviewers spend on your project.
    Cost scales with the review hours you use. There is no upfront commitment, so your bill rises as reviewers spend more hours on your jobs. Submit more items or larger datasets through the portal, and charges accrue for the added hours. Stop submitting jobs and no new hourly charges accrue.
    Reviewers handle response rating and ranking, fact checking and correction, and safety and policy review. They also prepare training data, prompts and conversations, and review image or text pairs. The vendor reworks any project that falls below a stated accuracy level, at no extra described cost.
    pripton.com+1
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    Vendor refund policy

    We consistently aim to exceed our customers' quality expectations, whether they are first-time or long-term partners. Our standard quality benchmark is a minimum of 96.5% accuracy. If the delivered output falls below this level, we will rework the project at no additional cost until the desired quality standard is achieved

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Contact us at contact@pripton.com  for all support enquiries. Enterprise customers receive priority email support with fast response times.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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