Technical Details
Enterprise-grade synthetic data generation, powered by AI
AI-Powered Pipeline
Five specialized AI agents work in sequence to transform your natural language descriptions into production-ready datasets.
Schema Architect
Converts natural language to table definitions with columns and types
Relationship Mapper
Auto-detects foreign keys and relationships between entities
Constraint Validator
Validates constraints and detects potential conflicts
Data Generator
Creates realistic data respecting all relationships
QA Agent
Validates generated data quality and integrity
Relationship Types
Full support for all standard database relationships with guaranteed referential integrity
One-to-One (1:1)
Each record in one table relates to exactly one record in another. Perfect for user profiles, configuration settings, or extended attributes.
One-to-Many (1:M)
One record relates to multiple records in another table. Ideal for customers with orders, authors with books, or departments with employees.
Many-to-Many (M:M)
Records in both tables can relate to multiple records in the other. Great for students and courses, products and categories, or tags and articles.
All generated data maintains referential integrity. Foreign keys always point to valid parent records.
100+ Field Types
Comprehensive data generation across 12 specialized categories
Basic
Integer, float, string, text, boolean, UUID
Personal
First/last name, email, phone, SSN, gender
Address
Street, city, state, postal code, country
Date & Time
Date, datetime, timestamp, time zones
Commerce
Product name, price, SKU, company, department
Internet
URL, IPv4, IPv6, MAC address, domain
Financial
Credit card, IBAN, account number, routing
Healthcare
ICD-10, CPT, NDC codes, blood type, MRN
Geographic
Latitude, longitude, timezone, coordinates
Semantic
Job title, color, language, industry
Boolean
Yes/no, true/false, active/inactive variants
Custom
Enums, regex patterns, computed values
Powerful Constraints
Fine-grained control over your generated data
Value Ranges
Set minimum and maximum values for numeric fields. Define valid ranges for prices, ages, quantities, and more.
String Length
Control minimum and maximum length for text fields. Perfect for usernames, descriptions, and IDs.
Regex Patterns
Generate data matching specific patterns. Ideal for custom IDs, codes, and formatted strings.
Enumerated Values
Restrict fields to specific allowed values. Great for status fields, categories, and types.
Distribution Ratios
Control the percentage distribution of values. Specify that 45% should be type A, 40% type B.
Date Ranges
Constrain dates to specific periods. Set start and end dates for timestamps and date fields.
Export Formats
Download your data in the format that fits your workflow
CSV
Spreadsheet compatible
SQL
With CREATE TABLE & FKs
JSON
API-ready format
Parquet
Big data workflows
SQLite
Ready-to-use database
SQL Export Dialects
Generate optimized import scripts for your database of choice
Each export includes CREATE TABLE statements, bulk data loading commands, and foreign key constraints optimized for the target database.
Built for Performance
Enterprise-grade speed and reliability
Rows per second
Optimized for speed at scale
Referential integrity
All foreign keys validated automatically
AI quality checks
Every dataset passes QA validation
Experience the power of AI-driven data generation
Start generating realistic, relationship-aware datasets in minutes.