JSON twin: https://www.healthaidb.com/software/syntho.json
Syntho
https://www.syntho.ai/syntho-engine/
Syntho is an AI-driven synthetic data platform that generates privacy-preserving, production-like tabular and time-series datasets to enable analytics, testing, sharing and ML development in healthcare and other industries.
Syntho Engine is a commercial synthetic data and test-data-management platform focused on generating realistic, privacy-compliant synthetic twins of sensitive tabular and time-series data. Key capabilities include AI-based synthetic data generation, smart de-identification/PII masking, multi-table referential integrity, open-text support, connectors to major databases/filesystems, QA reports, and deployment into customer environments (on-prem/cloud) to keep original data within secure boundaries. Typical uses are analytics, ML training, test-data provisioning, data sharing and system migrations.
yes
2020
Customer-controlled (deploy inside customer on-prem or cloud region; synthesize at source so data stays in customer region)
P1613
2025-09-07
commercial (proprietary)
Feature-tier license model (Basic / Standard / Ultimate); public site indicates 'Get a quote' for all tiers and 1-year license is typical — contact vendor for pricing and trial/evaluation.
enterprise_quote
2020
Docker/Docker Compose or Kubernetes (Helm); Ray runtime; access to vendor Docker images; network access to source/target databases/filesystems
product
1.0
{
"company_name": "Syntho",
"company_url": "https://www.syntho.ai/",
"company_offices": [
"Netherlands"
],
"company_founding": "2020",
"product_url": "https://www.syntho.ai/syntho-engine/",
"categories": [
"data privacy",
"test data management",
"data masking",
"synthetic data",
"analytics",
"developer tools"
],
"market_segment": [
"enterprise",
"smb"
],
"links": [
"https://www.syntho.ai/",
"https://www.syntho.ai/syntho-engine/",
"https://www.syntho.ai/ai-generated-synthetic-data/",
"https://www.syntho.ai/test-data-management/",
"https://www.syntho.ai/healthcare-synthetic-data-report/",
"https://docs.syntho.ai/",
"https://www.syntho.ai/pricing/",
"https://www.syntho.ai/privacy-policy/",
"https://www.linkedin.com/company/syntho",
"https://www.syntho.ai/external-evaluation-of-our-synthetic-data-by-the-data-experts-of-sas/"
],
"summary": "Syntho is an AI-driven synthetic data platform that generates privacy-preserving, production-like tabular and time-series datasets to enable analytics, testing, sharing and ML development in healthcare and other industries.",
"description": "Syntho Engine is a commercial synthetic data and test-data-management platform focused on generating realistic, privacy-compliant synthetic twins of sensitive tabular and time-series data. Key capabilities include AI-based synthetic data generation, smart de-identification/PII masking, multi-table referential integrity, open-text support, connectors to major databases/filesystems, QA reports, and deployment into customer environments (on-prem/cloud) to keep original data within secure boundaries. Typical uses are analytics, ML training, test-data provisioning, data sharing and system migrations.",
"target_users": [
"data scientists",
"data engineers",
"clinical researchers",
"software developers",
"QA/test engineers",
"privacy/compliance officers",
"product managers",
"IT/DevOps"
],
"specialties": [
"healthcare analytics",
"clinical research",
"life sciences",
"test data management",
"data privacy",
"machine learning"
],
"regions_available": [
"Netherlands",
"European Union",
"United States",
"Global (enterprise customers)"
],
"languages_supported": [
"English",
"Dutch"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Feature-tier license model (Basic / Standard / Ultimate); public site indicates 'Get a quote' for all tiers and 1-year license is typical — contact vendor for pricing and trial/evaluation.",
"license": "commercial (proprietary)",
"deployment_model": [
"on_prem (customer-deployed)",
"containerized (Docker)",
"kubernetes (Helm)",
"cloud (customer-managed VPC/tenant)"
],
"os_platforms": [
"Web"
],
"features": [
"AI-generated synthetic data (statistical twins)",
"Smart de-identification and synthetization",
"PII scanner / automatic PII discovery",
"Mockers and Maskers (synthetic/mock data generators)",
"Rule-based synthetic data",
"Subsetting (create representative subsets)",
"Consistent mapping (stable pseudonyms/keys)",
"Referential integrity & foreign key management",
"Calculated columns & key generators",
"JSON de-identification",
"Time-series synthetic data",
"Upsampling",
"Quality assurance report for synthetic outputs",
"Workspace and user management",
"Generation privacy controls (per-column privacy settings)"
],
"optional_modules": [
"PII Scanner",
"Time-Series Synthetic Data",
"Quality Assurance Report",
"Upsampling",
"Consistent Mapping"
],
"integrations": [
"PostgreSQL",
"MySQL / MariaDB",
"Oracle",
"Microsoft SQL Server",
"DB2 for LUW",
"Databricks",
"Hive",
"SAP Sybase",
"Azure Data Lake Storage (ADLS)",
"Amazon S3"
],
"data_standards": [],
"api_available": "yes",
"system_requirements": "Docker/Docker Compose or Kubernetes (Helm); Ray runtime; access to vendor Docker images; network access to source/target databases/filesystems",
"compliance": [
"GDPR"
],
"certifications": [],
"security_features": [
"Single Sign-On (Azure SSO)",
"Role-based access control (RBAC)",
"Audit logs and monitoring",
"Ability to deploy inside customer environment so data never leaves customer control",
"TLS encryption for communications"
],
"privacy_features": [
"PII discovery / scanner",
"De-identification & synthetization (anonymization via synthetic data)",
"Consistent mapping (pseudonymization)",
"Ability to synthesize at source (data never leaves customer environment)"
],
"data_residency": "Customer-controlled (deploy inside customer on-prem or cloud region; synthesize at source so data stays in customer region)",
"customers": [
"Health Plus Ai",
"KPN",
"Philips",
"Nederlandse Spoorwegen",
"Cedars Sinai",
"SAS",
"Universiteit Leiden",
"Lifelines",
"Centraal Bureau voor de Statistiek",
"Euris Group",
"KVK",
"Leiden University Medical Center",
"UMCG"
],
"user_reviews": [],
"ratings": [
"G2: 4.6/5 (16 reviews)"
],
"support_channels": [
"email",
"community"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"demo"
],
"release_year": "2020",
"integration_partners": [
"Euris Group",
"SAS",
"Philips",
"KPN",
"Cedars-Sinai",
"Universiteit Leiden",
"Leiden University Medical Center",
"UMCG",
"Lifelines",
"Centraal Bureau voor de Statistiek",
"KVK",
"Health Plus Ai"
],
"id": "P1613",
"slug": "syntho",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/syntho.json"
}
}