
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
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
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
Content disclaimer
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.
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.
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.