Syntheticus
JSON twin: https://www.healthaidb.com/software/syntheticus.json
Company Name
Syntheticus
Product URL
https://syntheticus.ai/synthetic-data-platform
Company URL
https://syntheticus.ai/
Categories
Summary
Syntheticus is a generative AI-powered platform that produces high-quality, privacy-compliant synthetic data for healthcare and pharmaceutical applications, enabling secure AI training, software testing, and business intelligence.
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.
Api Available
yes
Certifications
Company Founding
2021
Company Offices
Compliance
Customers
Data Residency
Customer-controlled (on-prem / private cloud / public cloud regions selectable)
Data Standards
- FHIR
- HL7 v2
- DICOM
- SNOMED
- ICD-10
Deployment Model
- SaaS
- on_prem
- private_cloud
- public_cloud
- edge
- hybrid
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 Infrastructure-as-Code (IaC) support
- Exploratory Data Analysis and profiling
- Data quality checks and monitoring
- Synthetic data generation using GAN, VAE, Diffusion, LLM, and statistical methods
- Data augmentation and rebiasing
- Privacy-preserving generation with differential privacy
- Confidential computing support
- Personally Identifiable Information (PII) classification and transformation
- Validation: utility, fidelity, and privacy tests with quality assurance reports
- REST APIs for automation and integration
- Scalable execution with Spark and distributed training frameworks
Id
SW2341
Integration Partners
Integrations
- Google Cloud
- Terraform
- Ansible
- Apache Airflow
- Apache Spark
- PyTorch
- TensorFlow
- DVC
- Git
- CircleCI
Languages Supported
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Profile
- Generate
- Protect
- Validate
Os Platforms
Pricing Details
Free demo available; public pricing not listed — contact vendor for quotes and enterprise plans.
Pricing Model
enterprise_quote
Privacy Features
- Differential privacy
- PII detection and transformation (anonymization)
- Data minimization
- Validation for GDPR compliance
Product Code
SW2341
Product Name
Syntheticus
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Single Sign-On (SSO)
- Confidential Computing
- Encryption at rest and in transit
- Differential privacy mechanisms
- PII classification and transformation
Specialties
Support Channels
System Requirements
Kubernetes-based, container runtime; supports GCP or customer cloud (Terraform/Ansible)
Target Users
- data scientists
- clinical researchers
- biostatisticians
- pharma R&D teams
- healthcare IT/analytics teams
- privacy/compliance officers
- software QA/testing teams
- healthcare administrators
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "Syntheticus",
"company_name": "Syntheticus",
"product_url": "https://syntheticus.ai/synthetic-data-platform",
"company_url": "https://syntheticus.ai/",
"related_urls": [
"https://www.healthaidb.com/software/syntheticus",
"https://elion.health/categories/data-management/products",
"https://www.mychamplainvalley.com/business/press-releases/ein-presswire/747838279/the-search-consortium-partners-with-syntheticus-to-accelerate-healthcare-innovation-through-synthetic-data/",
"https://elion.health/products/syntheticus"
],
"product_code": "SW2341",
"summary": "Syntheticus is a generative AI-powered platform that produces high-quality, privacy-compliant synthetic data for healthcare and pharmaceutical applications, enabling secure AI training, software testing, and business intelligence.",
"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.",
"categories": [
"data Management",
"health Data Analytics",
"ai Clinical Documentation Integrity",
"data Privacy",
"software Development",
"healthcare Platform",
"Data Management",
"Synthetic Data",
"Ai & Llm",
"Privacy-enhancing Technologies",
"Software Testing",
"Analytics & Bi",
"Healthcare & Pharma"
],
"market_segment": [
"enterprise",
"SMB",
"B2B"
],
"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": "commercial",
"company_offices": [
"Switzerland",
"United States",
"United Kingdom"
],
"company_founding": "2021",
"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 Infrastructure-as-Code (IaC) support",
"Exploratory Data Analysis and profiling",
"Data quality checks and monitoring",
"Synthetic data generation using GAN, VAE, Diffusion, LLM, and statistical methods",
"Data augmentation and rebiasing",
"Privacy-preserving generation with differential privacy",
"Confidential computing support",
"Personally Identifiable Information (PII) classification and transformation",
"Validation: utility, fidelity, and privacy tests with quality assurance reports",
"REST APIs for automation and integration",
"Scalable execution with Spark and 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": [
"FHIR",
"HL7 v2",
"DICOM",
"SNOMED",
"ICD-10"
],
"api_available": "yes",
"system_requirements": "Kubernetes-based, container runtime; supports GCP or customer cloud (Terraform/Ansible)",
"compliance": [
"GDPR",
"ISO 27001"
],
"certifications": [
"ISO 27001"
],
"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": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW2341",
"slug": "syntheticus",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/syntheticus.json"
}
}