Announcement
Introducing generative relational models and launching SDV 2.0Read more

Build generative models of your enterprise databases

SDV is enterprise software for building generative relational models (GRMs) of complex, interconnected databases inside your secure environment. Use them to generate synthetic data, train and evaluate AI agents, and more.

SDV Enterprise generating synthetic Customers, Orders, Products and Transactions tables

One generative model. Many enterprise applications.

SDV transforms complex databases into enterprise-owned generative relational models that power synthetic databases, scenario simulation, and AI training and evaluation.

Enterprise databases feed SDV modeling software, which produces enterprise-owned generative relational models powering an applications layer of synthetic databases, scenario simulators, and AI training and evaluation.

Put generative relational models
to work across the enterprise.

Use enterprise-owned models to generate synthetic databases, simulate scenarios, test software, and train and evaluate AI systems.

Software testing

Give developers production-like test data for every environment. Expand test coverage, reproduce edge cases, and release faster without exposing sensitive customer records.

Explore software testing

100×

Improvement in test coverage for ING's SEPA payment application

Training AI models

Overcome limited, imbalanced, or restricted training data. Create representative examples for model training, evaluation, and difficult scenarios that rarely appear in the real world.

Explore AI development

31%

Improvement in homeowner fraud detection at MAPFRE

Market research & simulation

Create privacy-safe respondent and behavioral data to test hypotheses, simulate audiences, and accelerate research before costly fieldwork or when real data is unavailable.

Explore market research

Scenarios generated on demand

SDV Enterprise

Built for the complexity of enterprise databases.

Model the relationships, business rules, and statistical patterns across complex, multi-table databases—then generate targeted data for any scenario and scale.

Model complex relationships
Capture dependencies across hundreds of connected tables.
Generate for any scenario and scale
Create targeted datasets in minutes—not days.
Keep everything in your environment
Your data and models remain within your security boundary.
Discover SDV Enterprise
Three enterprise database tables feed into the SDV Enterprise generative model, which produces a new synthetic table.

Your environment.
Your data. Your control.

SDV Enterprise is an SDK deployed where your data already lives. No customer data leaves your environment.

Explore SDV Enterprise
Inside your secure environment, your enterprise database flows into SDV Enterprise, which produces synthetic data. Only usage and diagnostic data is transmitted.

SDV Community

Start building with SDV Community.

SDV Community is the widely adopted, source-available Python library for building generative relational models from your databases. Build models and use them to generate synthetic data for your projects.

18M+
downloads
3.6K+
GitHub stars
30K+
data scientists
Explore SDV Community

Customer stories

Real enterprise challenges.
Measurable results.

Epiconcept

Healthcare

105×

query speed improvement after fine-tuning database config

Epiconcept optimized database performance without using sensitive patient data.

Epiconcept created a realistic synthetic clone of its 37-table healthcare database, safely optimized its MariaDB configuration, and improved query performance by 105×.

Read the customer story
“To this day we implemented 25+ very diverse projects across multiple countries, and this is recognised as a great success.”

Wim Blommaert

Head of Test Data Management, ING Belgium

Your next dataset
doesn’t exist yet.

Build a generative relational model with SDV to create it.

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Make synthetic data a reality

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