The Pripton Data Annotation platform provides accurate, consistent, and secure annotation and labelling across text, image, audio, video, LiDAR, and medical datasets with USA-based processing capacity, delivering 98.5% average accuracy for global AI/ML initiatives.
The Pripton Data Annotation platform specialises in annotation and labelling for AI/ML applications with USA-based processing capacity. Platform capabilities cover diverse data types including text, images, video, audio, LiDAR, and medical datasets. Platform clients range from Fortune 100 technology firms to emerging AI startups across critical domains including Autonomous Vehicles, Healthcare AI, Geospatial Intelligence, Finance, Robotics, and eCommerce.
All annotation jobs are processed by USA-based annotators under strict NDA and compliance frameworks. Platform processing achieves 98.5% average accuracy with rigorous quality control at every stage.
KEY FEATURES:
USA-based processing capacity for compliance and data residency requirements
Full annotation coverage including data extraction, content moderation, segmentation, and object tracking
Translation across 15+ language pairs
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:
US regulatory compliance datasets
Healthcare data annotation with US data residency requirements
Financial services AI model development
Government sector AI model training
Enterprise computer vision training datasets
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. USA-based processing capacity. Strict NDA compliance and data protection protocols.
Scalable Output: 60,000+ images annotated daily. 50,000+ text units processed daily. 40,000+ video frames labelled daily. Built to scale with large enterprise-level workloads.
Full Coverage: End-to-end annotation across image, video, LiDAR, text, and document data. Translation across 15+ language pairs. Multi-domain coverage across Autonomous Vehicles, Healthcare AI, Finance, and more.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing has one pricing dimension: Human Review Services, billed by the unit. You pay based on usage, with no upfront commitment. Billing is hourly, so your cost scales with the number of review hours you use. This covers human review for AI and machine learning data, such as labeling and annotation across text, image, video, and audio. Since there is a single dimension, there are no tiers or size options to choose between. You simply pay for the review work you consume.
Top-of-mind questions for buyers
What counts as one billable unit for Human Review Services?
A unit maps to an hour of human review work. You are billed hourly, so your cost tracks the number of review hours your data requires. This covers a person reviewing, labeling, or annotating your AI and machine learning data.
Is this pay-as-you-go, or do I commit to an amount upfront?
This is pay-as-you-go. There is no upfront commitment. Charges accrue only for the review hours you use, billed hourly. This suits variable workloads where your review needs change over time.
What types of data can the human review service handle?
The service covers human review across text, image, video, and audio data. This includes labeling and annotation work such as bounding boxes, image segmentation, audio transcription, sentiment analysis, and content moderation. All of it bills under the same hourly unit.
pripton.com
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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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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
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