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    Secludy PII-Free Synthetic Text Replicas

     Info
    Sold by: Secludy 
    Deployed on AWS
    Free Trial
    Protects sensitive corporate data through generating replacement with differential privacy

    Overview

    NOTE: This is the evaluation version of our Privacy-Guaranteed Synthetic Data Product. The evaluation includes a 30-day free trial. Contact us at support@secludy.com  for information on our full-version pricing plans.

    Secludy Privacy-Guaranteed Synthetic Text Data Replicas is an enterprise-grade solution for generating privacy-safe synthetic data from sensitive business information. Unlike traditional data anonymization approaches, Secludy creates high-quality synthetic examples that preserve essential patterns while providing mathematical privacy guarantees.

    Ideal for organizations in healthcare, finance, and other regulated industries that need high-quality, privacy-safe data for AI development. Secludy transforms sensitive business data into valuable AI training resources while maintaining strict privacy standards.

    Highlights

    • Top use cases: * Creating privacy-safe email datasets for spam detection * Generating synthetic customer communications for sentiment analysis * Developing test datasets containing realistic but safe PII/PHI * Augmenting limited sensitive datasets with privacy-protected examples
    • Key benefits: * Maintains statistical relationships in original data * Provides provable privacy guarantees * Generates domain-specific content at scale * Preserves data utility for downstream AI tasks * Ensures regulatory compliance
    • The solution enables organizations to: * Scale AI development without privacy risks * Share data safely across teams and organizations * Test systems with realistic but safe data * Accelerate AI projects while protecting sensitive information

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 30 days according to the free trial terms set by the vendor.

    Secludy PII-Free Synthetic Text Replicas

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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 (3)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.p3.2xlarge Inference (Batch)
    Recommended
    Model inference on the ml.p3.2xlarge instance type, batch mode
    $16.00
    ml.p3.2xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.p3.2xlarge instance type, real-time mode
    $16.00
    ml.g5.xlarge Training
    Recommended
    Algorithm training on the ml.g5.xlarge instance type
    $10.00

    Vendor refund policy

    We offer a great 30-day free trial. After the free-trial, no refunds can be made

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Amazon SageMaker algorithm

    An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Before deploying the model, train it with your data using the algorithm training process. You're billed for software and SageMaker infrastructure costs only during training. Duration depends on the algorithm, instance type, and training data size. When training completes, the model artifacts save to your Amazon S3 bucket. These artifacts load into the model when you deploy for real-time inference or batch processing. For more information, see Use an Algorithm to Run a Training Job  .
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    40% faster generation speed for large datasets compared to other vendors Better preservation of statistical relationships GPU memory optimization 40% less

    Additional details

    Inputs

    Summary

    A json file containing which category to generate, how many copies for each category, and generation output length.

    { "categories": ["Project Updates", "HR Communications"], "num_replicas": 1, "max_tokens": 500, "instruction": "write me some corporate email examples in the category of" }
    https://secludy-public-listing.s3.us-east-1.amazonaws.com/cat.json

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    categories
    topics to be generated
    Type: FreeText
    Yes

    Support

    Vendor support

    support@secludy.com  Personal phone numbers of founders are also available 24/7 for support : )

    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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