Unlock Private Data for AI Without the Privacy Risk.
Unlock Private Data for AI Without the Privacy Risk.
Unlock Private Data for AI Without the Privacy Risk.
Generate privacy-guaranteed synthetic data that mirrors your real datasets - safe for training, compliant by design, and deployable in your own environment
Generate privacy-guaranteed synthetic data that mirrors your real datasets - safe for training, compliant by design, and deployable in your own environment
Generate privacy-guaranteed synthetic data that mirrors your real datasets - safe for training, compliant by design, and deployable in your own environment
Self-hosted in your VPC or on-prem
Self-hosted in your VPC or on-prem
Differential Privacy by default
Differential Privacy by default
Eliminates PII leakage risks
Eliminates PII leakage risks
Unlocks data restricted by IP/contracts
Unlocks data restricted by IP/contracts
Built by privacy and AI experts from leading organizations
Built by privacy and AI experts from leading organizations
Built by privacy and AI experts from leading organizations
Benefits
Value-Packed AI Privacy
Value-Packed AI Privacy
Value-Packed AI Privacy
Built for enterprise AI teams who can’t compromise on security or performance.
Built for enterprise AI teams who can’t compromise on security or performance.
Built for enterprise AI teams who can’t compromise on security or performance.
99.99% privacy and IP leakage proof
Canary PII leakeage test
Membership inference attack
Ship and use with confidence
Fully self-hosted
Deploy in your own VPC or on-prem
No data out of silo
Unlimited Clean Data for Vertical AI
Accelerate GenAI development with high-fidelity synthetic data (10x faster deployment)
Unlock legal and contractual obstacle to use 3rd data
GDPR
CCPA
HIPPA
Corporate contracts
99.99% privacy and IP leakage proof
99.99% privacy and IP leakage proof
Canary PII leakeage test
Canary PII leakeage test
Membership inference attack
Membership inference attack
Ship and use with confidence
Ship and use with confidence
Fully self-hosted
Fully self-hosted
Deploy in your own VPC or on-prem
Deploy in your own VPC or on-prem
No data out of silo
No data out of silo
Unlimited Clean Data for Vertical AI
Unlimited Clean Data for Vertical AI
Accelerate GenAI development with high-fidelity synthetic data (10x faster deployment)
Accelerate GenAI development with high-fidelity synthetic data (10x faster deployment)
Unlock legal and contractual obstacle to use 3rd data
Unlock legal and contractual obstacle to use 3rd data
GDPR
GDPR
CCPA
CCPA
HIPAA
HIPAA
Corporate contracts
Corporate contracts
How It Works
Proven Privacy, Simple Deployment
Proven Privacy, Simple Deployment
Proven Privacy, Simple Deployment
From connection to compliant training in days, not months.
From connection to compliant training in days, not months.
From connection to compliant training in days, not months.
Configure Privacy
Configure Privacy
Select a high-utility privacy preset or customize
Select a high-utility privacy preset or customize
01
01
02
02
Generate Unstructured Data
Privacy-guaranteed synthetic data that retains the semantic meaning of your original data
Original
I live by the golden gate bridge in San Francisco. Our place is a block past McDonald's but I can't walk due to my crps disorder. My social security number is 231-34-2495.
Anonymized Data
Our place is near the Bay Bridge. I'm located a block ahead at Burger King, but I have diabetic neuropathy so I'm not able to walk. Here’s my SSN 345-34-6975.
Original
I live by the golden gate bridge in San Francisco. Our place is a block past McDonald's but I can't walk due to my crps disorder. My social security number is 231-34-2495.
Anonymized Data
Our place is near the Bay Bridge. I'm located a block ahead at Burger King, but I have diabetic neuropathy so I'm not able to walk. Here’s my SSN 345-34-6975.
Original
I live by the golden gate bridge in San Francisco. Our place is a block past McDonald's but I can't walk due to my crps disorder. My social security number is 231-34-2495.
Anonymized Data
Our place is near the Bay Bridge. I'm located a block ahead at Burger King, but I have diabetic neuropathy so I'm not able to walk. Here’s my SSN 345-34-6975.
Generate Tabular Data
Generate Tabular Data
Privacy-guaranteed synthetic data that retains the statistical properties of your original data
Privacy-guaranteed synthetic data that retains the statistical properties of your original data
Name
credit_score
ssn
Grace
721
613-45-1219
Guo
673
219-60-4881
Victoria
755
178-32-9420
Name
credit_score
ssn
Mary
715
502-37-9812
Wei
681
415-84-2301
Christie
747
302-51-7624
Name
credit_score
ssn
Grace
721
613-45-1219
Guo
673
219-60-4881
Victoria
755
178-32-9420
Name
credit_score
ssn
Mary
715
502-37-9812
Wei
681
415-84-2301
Christie
747
302-51-7624
Name
credit_score
ssn
Grace
721
613-45-1219
Guo
673
219-60-4881
Victoria
755
178-32-9420
Name
credit_score
ssn
Mary
715
502-37-9812
Wei
681
415-84-2301
Christie
747
302-51-7624
Name
credit_score
ssn
Grace
721
613-45-1219
Guo
673
219-60-4881
Victoria
755
178-32-9420
Name
credit_score
ssn
Mary
715
502-37-9812
Wei
681
415-84-2301
Christie
747
302-51-7624
03
03
04
Safe Downstream AI Application
Safe Downstream AI Application
Use synthetic data for fine-tuning, testing, vendor sharing, and simulations — without regulatory risk.
Use synthetic data for fine-tuning, testing, vendor sharing, and simulations — without regulatory risk.
04
Secludy
Old Way vs New Way
Old Way vs New Way
Old Way vs New Way
The privacy breakthrough you’ve been waiting for
The privacy breakthrough you’ve been waiting for
The privacy breakthrough you’ve been waiting for
With Legacy Data Masking
With Legacy Data Masking
Months of compliance delays before training can start
Months of compliance delays before training can start
Significant PII leakage and easy to reverse or re-identify
Significant PII leakage and easy to reverse or re-identify
Loss of model utility from incomplete or distorted data
Loss of model utility from incomplete or distorted data


With Secludy Anonymized Synthetic Data
With Secludy Anonymized Synthetic Data
Train instantly with privacy-guaranteed synthetic replicas
Train instantly with privacy-guaranteed synthetic replicas
Proven Differential Privacy for full anonymization
Proven Differential Privacy for full anonymization
Statistical fidelity so models match or beat baseline performance
Statistical fidelity so models match or beat baseline performance
Use locked-down datasets without breaching IP obligations
Use locked-down datasets without breaching IP obligations


With Secludy PrivateTransformer Agent
With Secludy PrivateTransformer Agent
Natural language config setup with intelligent automation
Natural language config setup with intelligent automation
Self-improving algorithms that optimize over time
Self-improving algorithms that optimize over time
Minimal compute requirements for maximum efficiency
Minimal compute requirements for maximum efficiency
Adapts quickly to changes in masking requirements
Adapts quickly to changes in masking requirements
With Legacy Data Masking
Months of compliance delays before training can start
Significant PII leakage and easy to reverse or re-identify
Loss of model utility from incomplete or distorted data

With Secludy Anonymized Synthetic Data
Train instantly with privacy-guaranteed synthetic replicas
Proven Differential Privacy for full anonymization
Statistical fidelity so models match or beat baseline performance
Use locked-down datasets without breaching IP obligations

With Secludy PrivateTransformer Agent
Natural language config setup with intelligent automation
Self-improving algorithms that optimize over time
Minimal compute requirements for maximum efficiency
Adapts quickly to changes in masking requirements
Features
Everything You Need for Privacy-Safe AI Training
Everything You Need for Privacy-Safe AI Training
Everything You Need for Privacy-Safe AI Training
A complete platform for generating, validating, and deploying privacy-guaranteed synthetic data.
A complete platform for generating, validating, and deploying privacy-guaranteed synthetic data.
A complete platform for generating, validating, and deploying privacy-guaranteed synthetic data.
Private Synthetic Data Generation
Private Synthetic Data Generation
Create hybrid datasets that preserve the statistical properties of your originals.
Create hybrid datasets that preserve the statistical properties of your originals.
Secure Fine-Tuning Pipeline
Secure Fine-Tuning Pipeline
Set privacy budgets for secure model training, fine-tuning, and inference.
Set privacy budgets for secure model training, fine-tuning, and inference.
Leakage Detection Toolkit
Leakage Detection Toolkit
Use Canary PII injection and leak detection to ensure zero leakage before approval.
Use Canary PII injection and leak detection to ensure zero leakage before approval.
Bias & Diversity Measurement
Reduce bias, improve dataset balance, and boost downstream model generalization.
Fully Self-Hosted Deployment
Run in your VPC or on-prem with AWS, Azure, GCP, and Databricks integrations.
Easy Enterprise Integration
Seamlessly plug into existing MLOps and data platforms with minimal friction.
Private Synthetic Data Generation
Create hybrid datasets that preserve the statistical properties of your originals.
Secure Fine-Tuning Pipeline
Set privacy budgets for secure model training, fine-tuning, and inference.
Leakage Detection Toolkit
Use Canary PII injection and leak detection to ensure zero leakage before approval.
Bias & Diversity Measurement
Reduce bias, improve dataset balance, and boost downstream model generalization.
Fully Self-Hosted Deployment
Run in your VPC or on-prem with AWS, Azure, GCP, and Databricks integrations.
Easy Enterprise Integration
Seamlessly plug into existing MLOps and data platforms with minimal friction.
Bias & Diversity Measurement
Bias & Diversity Measurement
Reduce bias, improve dataset balance, and boost downstream model generalization.
Reduce bias, improve dataset balance, and boost downstream model generalization.
Fully Self-Hosted Deployment
Fully Self-Hosted Deployment
Run in your VPC or on-prem with AWS, Azure, GCP, and Databricks integrations.
Run in your VPC or on-prem with AWS, Azure, GCP, and Databricks integrations.
Easy Enterprise Integration
Easy Enterprise Integration
Seamlessly plug into existing MLOps and data platforms with minimal friction.
Seamlessly plug into existing MLOps and data platforms with minimal friction.
Use Cases
Built for Regulated AI Workloads
Built for Regulated AI Workloads
Built for Regulated AI Workloads
High-value applications that demand provable privacy.
High-value applications that demand provable privacy.
High-value applications that demand provable privacy.




Fintech
Fintech
Fintech
Fraud detection and chargeback prediction, enhancing transaction security and minimizing risks.
Fraud detection and chargeback prediction, enhancing transaction security and minimizing risks.
Fraud detection and chargeback prediction, enhancing transaction security and minimizing risks.




Banking
Banking
Banking
AML and transaction monitoring, ensuring compliance and preventing financial crimes.
AML and transaction monitoring, ensuring compliance and preventing financial crimes.
AML and transaction monitoring, ensuring compliance and preventing financial crimes.




Healthcare
Healthcare
Healthcare
Fine-tune an LLM on patient healthcare data to power AI-assisted automation tools.
Fine-tune an LLM on patient healthcare data to power AI-assisted automation tools.
Fine-tune an LLM on patient healthcare data to power AI-assisted automation tools.
Testimonials
Trusted by Forward-Thinking AI Teams
Trusted by Forward-Thinking AI Teams
Trusted by Forward-Thinking AI Teams
Teams in regulated industries choose Secludy to go from locked data to launch-ready models.
Teams in regulated industries choose Secludy to go from locked data to launch-ready models.
Teams in regulated industries choose Secludy to go from locked data to launch-ready models.
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
Jennifer S.
VP of AI @ Finserv
"I see hundreds of AI projects die in legal review over unusable data. Secludy's synthetic data tech helped us unlock our most valuable datasets for model training"
Bryan P.
CISO & Head of Privacy @ InsureTech
"Board pressure to deploy AI put me in an impossible position. Block projects and get fired for slowing innovation, or approve them and become the scapegoat for inevitable data leaks. Secludy solved my career nightmare. I can now champion AI/ML projects without the risks."
FAQs
FAQs
FAQs
FAQs
Answers to the questions your compliance team will ask.
Answers to the questions your compliance team will ask.
Answers to the questions your compliance team will ask.
Why is Differential Privacy better than Data Masking?
Differential Privacy fully anonymizes synthetic data, making it out of scope for GDPR, while legacy data masking only pseudo-anonymizes, leaving companies subject to GDPR requirements like data deletion requests. This creates a major challenge because it's currently impossible to remove training data from a model without deleting or retraining it. Our DP approach produces synthetic data that is truly safe, even under attack, and passes on robust privacy protections to all downstream tasks. As a result, training with DP synthetic data doesn't require deleting or retraining models to maintain compliance.
How can Differential Privacy help my team?
Transform sensitive data into privacy-guaranteed training sets that empower your AI development without restrictions. Our differential privacy technology enables unrestricted LLM fine-tuning while automatically ensuring compliance and eliminating privacy risks. Deploy faster, innovate freely, and scale your AI capabilities without compromising data security
How can I sign-up for a demo?
To explore Secludy's capabilities, simply click "Schedule a Demo" on our website. Fill in your details, and we'll arrange a personalized demonstration to show how our tool can seamlessly integrate into your systems and empower your team with privacy-compliant fine-tuning.
What expertise do I need to use Secludy?
Secludy is designed for data scientists and ML engineers with experience in text data generation and using LLMs. Our API and configurable privacy parameters make implementing DP straightforward for teams familiar with standard synthetic data workflows and LLM usage.
Can we self-host Secludy on our environment?
Absolutely! Secludy offers an enterprise-level plan with the option for self-hosting, ensuring full control over your data and tools. Whether it's in your private cloud or on-prem, our solution adapts to your unique security and compliance needs.
Why is Differential Privacy better than Data Masking?
Differential Privacy fully anonymizes synthetic data, making it out of scope for GDPR, while legacy data masking only pseudo-anonymizes, leaving companies subject to GDPR requirements like data deletion requests. This creates a major challenge because it's currently impossible to remove training data from a model without deleting or retraining it. Our DP approach produces synthetic data that is truly safe, even under attack, and passes on robust privacy protections to all downstream tasks. As a result, training with DP synthetic data doesn't require deleting or retraining models to maintain compliance.
How can Differential Privacy help my team?
Transform sensitive data into privacy-guaranteed training sets that empower your AI development without restrictions. Our differential privacy technology enables unrestricted LLM fine-tuning while automatically ensuring compliance and eliminating privacy risks. Deploy faster, innovate freely, and scale your AI capabilities without compromising data security
How can I sign-up for a demo?
To explore Secludy's capabilities, simply click "Schedule a Demo" on our website. Fill in your details, and we'll arrange a personalized demonstration to show how our tool can seamlessly integrate into your systems and empower your team with privacy-compliant fine-tuning.
What expertise do I need to use Secludy?
Secludy is designed for data scientists and ML engineers with experience in text data generation and using LLMs. Our API and configurable privacy parameters make implementing DP straightforward for teams familiar with standard synthetic data workflows and LLM usage.
Can we self-host Secludy on our environment?
Absolutely! Secludy offers an enterprise-level plan with the option for self-hosting, ensuring full control over your data and tools. Whether it's in your private cloud or on-prem, our solution adapts to your unique security and compliance needs.
Why is Differential Privacy better than Data Masking?
Differential Privacy fully anonymizes synthetic data, making it out of scope for GDPR, while legacy data masking only pseudo-anonymizes, leaving companies subject to GDPR requirements like data deletion requests. This creates a major challenge because it's currently impossible to remove training data from a model without deleting or retraining it. Our DP approach produces synthetic data that is truly safe, even under attack, and passes on robust privacy protections to all downstream tasks. As a result, training with DP synthetic data doesn't require deleting or retraining models to maintain compliance.
How can Differential Privacy help my team?
Transform sensitive data into privacy-guaranteed training sets that empower your AI development without restrictions. Our differential privacy technology enables unrestricted LLM fine-tuning while automatically ensuring compliance and eliminating privacy risks. Deploy faster, innovate freely, and scale your AI capabilities without compromising data security
How can I sign-up for a demo?
To explore Secludy's capabilities, simply click "Schedule a Demo" on our website. Fill in your details, and we'll arrange a personalized demonstration to show how our tool can seamlessly integrate into your systems and empower your team with privacy-compliant fine-tuning.
What expertise do I need to use Secludy?
Secludy is designed for data scientists and ML engineers with experience in text data generation and using LLMs. Our API and configurable privacy parameters make implementing DP straightforward for teams familiar with standard synthetic data workflows and LLM usage.
Can we self-host Secludy on our environment?
Absolutely! Secludy offers an enterprise-level plan with the option for self-hosting, ensuring full control over your data and tools. Whether it's in your private cloud or on-prem, our solution adapts to your unique security and compliance needs.
Why is Differential Privacy better than Data Masking?
Differential Privacy fully anonymizes synthetic data, making it out of scope for GDPR, while legacy data masking only pseudo-anonymizes, leaving companies subject to GDPR requirements like data deletion requests. This creates a major challenge because it's currently impossible to remove training data from a model without deleting or retraining it. Our DP approach produces synthetic data that is truly safe, even under attack, and passes on robust privacy protections to all downstream tasks. As a result, training with DP synthetic data doesn't require deleting or retraining models to maintain compliance.
How can Differential Privacy help my team?
Transform sensitive data into privacy-guaranteed training sets that empower your AI development without restrictions. Our differential privacy technology enables unrestricted LLM fine-tuning while automatically ensuring compliance and eliminating privacy risks. Deploy faster, innovate freely, and scale your AI capabilities without compromising data security
How can I sign-up for a demo?
To explore Secludy's capabilities, simply click "Schedule a Demo" on our website. Fill in your details, and we'll arrange a personalized demonstration to show how our tool can seamlessly integrate into your systems and empower your team with privacy-compliant fine-tuning.
What expertise do I need to use Secludy?
Secludy is designed for data scientists and ML engineers with experience in text data generation and using LLMs. Our API and configurable privacy parameters make implementing DP straightforward for teams familiar with standard synthetic data workflows and LLM usage.
Can we self-host Secludy on our environment?
Absolutely! Secludy offers an enterprise-level plan with the option for self-hosting, ensuring full control over your data and tools. Whether it's in your private cloud or on-prem, our solution adapts to your unique security and compliance needs.
Unlock Your Data, Unleash Your AI
Unlock Your Data, Unleash Your AI
Unlock Your Data, Unleash Your AI
Get compliant, high-utility training data without the wait or the risk
Get compliant, high-utility training data without the wait or the risk
Get compliant, high-utility training data without the wait or the risk








