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
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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.
Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor.
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.
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 |
Dimensions summary
You pay by the host hour for the compute instance you run. Pricing splits into two activities: training and inference. Training runs on the ml.g5.xlarge instance, billed per hour of use. Inference runs on the ml.p3.2xlarge instance and comes in two modes. Batch inference processes scheduled jobs, while real-time inference handles live requests; each is billed separately per host hour. Costs scale with how long each instance runs, so you pay only for the hours you use across training and inference.
Top-of-mind questions for buyers
Each host hour covers the GPU instance running your workload: ml.g5.xlarge for training and ml.p3.2xlarge for inference. You pay for time the instance runs. Charges do not cover any separate AWS storage or data transfer fees, which bill through your AWS account.
Both meter host hours on the same instance type but bill separately. Batch inference runs scheduled jobs, so you pay only while jobs process. Real-time inference stays available for live requests, so the instance runs continuously and accrues hours until you stop it.
Each activity bills independently by its own host hour. Training hours on the ml.g5.xlarge and inference hours on the ml.p3.2xlarge add together on your invoice. Total cost depends on how many hours each instance runs, so continuous real-time inference often drives the larger share.
www.secludy.com
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Vendor refund policy
We offer a great 30-day free trial. After the free-trial, no refunds can be made
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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
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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:
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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