JSON twin: https://www.healthaidb.com/software/syntheticus.json
Syntheticus
https://syntheticus.ai/synthetic-data-platform
Syntheticus is a commercial synthetic data platform that generates privacy-preserving, statistically representative healthcare and pharma datasets to accelerate research, ML/AI, testing, and clinical trials.
Syntheticus offers a suite for generating and augmenting synthetic healthcare and pharmaceutical data using advanced generative techniques, with built-in privacy, security, and compliance controls (GDPR/HIPAA-focused). The platform supports data augmentation, scalable dataset creation, governance features and integrations for analytics and ML workflows to enable safe data sharing and faster model development.
yes
2021
Customer-controlled (on-prem / private cloud / public cloud regions selectable)
P1612
2025-09-07
proprietary commercial
Free demo available; public pricing not listed — contact vendor for quotes and enterprise plans.
enterprise_quote
Kubernetes-based, container runtime; supports GCP or customer cloud (Terraform/Ansible)
product
1.0
{
"company_name": "Syntheticus",
"company_url": "https://syntheticus.ai/",
"company_offices": [
"Switzerland"
],
"company_founding": "2021",
"product_url": "https://syntheticus.ai/synthetic-data-platform",
"categories": [
"synthetic data",
"data & analytics",
"AI & LLM",
"privacy-enhancing technologies",
"software testing",
"analytics & BI",
"healthcare & pharma"
],
"market_segment": [
"enterprise",
"SMB",
"B2B"
],
"links": [
"https://syntheticus.ai/",
"https://syntheticus.ai/synthetic-data-platform",
"https://syntheticus.ai/synthetic-data-for-healthcare-and-pharma",
"https://syntheticus.ai/about-syntheticus",
"https://trust.syntheticus.ai/",
"https://syntheticus.ai/blog/syntheticus-attains-iso-27001-certification-and-trademark-registration",
"https://elion.health/categories/synthetic-data/products",
"https://www.g2.com/products/syntheticus-ai-synthetic-data-generator/reviews",
"https://www.capterra.com/p/10012465/Syntheticus/"
],
"summary": "Syntheticus is a commercial synthetic data platform that generates privacy-preserving, statistically representative healthcare and pharma datasets to accelerate research, ML/AI, testing, and clinical trials.",
"description": "Syntheticus offers a suite for generating and augmenting synthetic healthcare and pharmaceutical data using advanced generative techniques, with built-in privacy, security, and compliance controls (GDPR/HIPAA-focused). The platform supports data augmentation, scalable dataset creation, governance features and integrations for analytics and ML workflows to enable safe data sharing and faster model development.",
"target_users": [
"data scientists",
"clinical researchers",
"biostatisticians",
"pharma R&D teams",
"healthcare IT/analytics teams",
"privacy/compliance officers",
"software QA/testing teams",
"healthcare administrators"
],
"specialties": [
"clinical research",
"pharmaceutical R&D",
"machine learning / AI",
"electronic health records (EHR) analytics",
"clinical trials data",
"healthcare analytics",
"data privacy and de-identification"
],
"regions_available": [
"Switzerland",
"European Union",
"United States",
"United Kingdom",
"Global"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Free demo available; public pricing not listed — contact vendor for quotes and enterprise plans.",
"license": "proprietary commercial",
"deployment_model": [
"SaaS",
"on_prem",
"private_cloud",
"public_cloud",
"edge",
"hybrid"
],
"os_platforms": [
"Web",
"Linux"
],
"features": [
"Data ingestion from relational, tabular, unstructured and multi-modal sources",
"Workflow orchestration and pipeline management",
"User collaboration and lab interface",
"Kubernetes-native deployment and IaC support",
"Exploratory Data Analysis / Profiling",
"Data quality checks and monitoring",
"Synthetic data generation (GAN, VAE, Diffusion, LLM, statistical)",
"Data augmentation and rebiasing",
"Privacy-preserving generation (differential privacy)",
"Confidential Computing support",
"PII classification and transformation",
"Validation: utility, fidelity and privacy tests with QA reports",
"REST APIs for automation and integration",
"Scalable execution (Spark, distributed training frameworks)"
],
"optional_modules": [
"Profile",
"Generate",
"Protect",
"Validate"
],
"integrations": [
"Google Cloud",
"Terraform",
"Ansible",
"Apache Airflow",
"Apache Spark",
"PyTorch",
"TensorFlow",
"DVC",
"Git",
"CircleCI"
],
"data_standards": [],
"api_available": "yes",
"system_requirements": "Kubernetes-based, container runtime; supports GCP or customer cloud (Terraform/Ansible)",
"compliance": [
"GDPR",
"ISO"
],
"certifications": [],
"security_features": [
"Single Sign-On (SSO)",
"Confidential Computing",
"Encryption at-rest and in-transit",
"Differential privacy mechanisms",
"PII classification and transformation"
],
"privacy_features": [
"Differential privacy",
"PII detection and transformation (anonymization)",
"Data minimization",
"Validation for GDPR compliance"
],
"data_residency": "Customer-controlled (on-prem / private cloud / public cloud regions selectable)",
"customers": [
"Linebreak",
"SIX"
],
"user_reviews": [],
"ratings": [],
"support_channels": [
"email",
"ticketing",
"live_online",
"onsite",
"professional_services"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"professional_services",
"certification"
],
"release_year": "",
"integration_partners": [
"Google Cloud",
"Terraform",
"Ansible",
"Apache Airflow",
"Apache Spark",
"PyTorch",
"TensorFlow",
"Celery",
"Git",
"DVC",
"CircleCI"
],
"id": "P1612",
"slug": "syntheticus",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/syntheticus.json"
}
}