Synthetic Data for AI and Clinical Research

The platformto generate

Generate realistic synthetic healthcare datasets for AI development, clinical research, and analytics.

Trusted for AI experimentation, clinical research, and healthcare analytics.

Capabilities

Everything you need to generate realistic healthcare datasets.

01

Instant Dataset Generation

Generate realistic synthetic healthcare datasets in seconds for AI development, research, and testing.

02

Clinical & EHR Data Simulation

Simulate patient cohorts, clinical trials, and longitudinal health records without exposing real data.

03

AI Model Testing Sandbox

Create safe environments to test machine learning models, analytics pipelines, and healthcare applications.

AB
04

Privacy-Safe Synthetic Data

Use synthetic healthcare data for experimentation without PHI, compliance risk, or patient exposure.

Developer Workflow

Three steps.
Infinite possibilities.

workflow.ts
1import axios from "axios";
2
3const res = await axios.post("https://api.syntherx.com/generate", {
4  dataset: "clinical_trial",
5  population: 1000,
6});
7
8console.log(res.data);
Ready
Synthetic Data Engine

Realistic by
design.

Generate realistic synthetic healthcare datasets for AI development, clinical research, and analytics pipelines.

1M+
Synthetic patients
100+
Clinical variables
10+
Dataset blueprints
Dataset LibraryAll operational
Oncology Cohort
Cohort
Ready
ICU Dataset
Dataset
Ready
Clinical Trial Simulation
Simulation
Ready
Hospital Claims Dataset
Dataset
Ready
EHR Longitudinal Records
Records
Ready
Ecosystem

Works with the tools
AI and research teams already use.

Export synthetic healthcare datasets for machine learning, analytics, and clinical research workflows.

Python
Programming
R
Programming
TensorFlow
ML Framework
PyTorch
ML Framework
Scikit-Learn
ML
Jupyter
Development
Pandas
Data
NumPy
Data
PostgreSQL
Database
Snowflake
Data Warehouse
BigQuery
Data Warehouse
AWS
Cloud
Azure
Cloud
Databricks
Analytics
OpenAI
AI
Hugging Face
AI/ML
Python
Programming
R
Programming
TensorFlow
ML Framework
PyTorch
ML Framework
Scikit-Learn
ML
Jupyter
Development
Pandas
Data
NumPy
Data
PostgreSQL
Database
Snowflake
Data Warehouse
BigQuery
Data Warehouse
AWS
Cloud
Azure
Cloud
Databricks
Analytics
OpenAI
AI
Hugging Face
AI/ML
Hugging Face
AI/ML
OpenAI
AI
Databricks
Analytics
Azure
Cloud
AWS
Cloud
BigQuery
Data Warehouse
Snowflake
Data Warehouse
PostgreSQL
Database
NumPy
Data
Pandas
Data
Jupyter
Development
Scikit-Learn
ML
PyTorch
ML Framework
TensorFlow
ML Framework
R
Programming
Python
Programming
Hugging Face
AI/ML
OpenAI
AI
Databricks
Analytics
Azure
Cloud
AWS
Cloud
BigQuery
Data Warehouse
Snowflake
Data Warehouse
PostgreSQL
Database
NumPy
Data
Pandas
Data
Jupyter
Development
Scikit-Learn
ML
PyTorch
ML Framework
TensorFlow
ML Framework
R
Programming
Python
Programming
Security

Trust is
non-negotiable.

Enterprise-grade security isn't optional. It's built into every layer of our platform, from infrastructure to application.

SOC2-aligned security practicesHIPAA-ready infrastructureGDPR-aware data handlingISO 27001–inspired security principles

Encryption by default

AES-256 encryption for data at rest and TLS 1.3 for all network traffic.

Zero-trust architecture

Every request is authenticated and authorized through secure API layers.

Designed for regulated environments

Built with HIPAA, GDPR, and SOC2-aligned security principles in mind.

Secure dataset generation

Synthetic datasets are generated without exposing real patient data.
Syntherx does not ingest or store real patient records.

For developers

Built for developers. Designed for researchers.

Generate realistic synthetic healthcare datasets with a simple API. Built for machine learning teams, data scientists, and clinical researchers.

Schema-aware generation

Generate datasets with clinical variable relationships preserved.

Deterministic simulation

Reproduce datasets for experiments and model validation.

Privacy-first design

Synthetic datasets are generated without exposing real patient data.

API-first platform

Integrate dataset generation directly into ML pipelines.

const res = await fetch(`https://api.syntherx.com/datasets/generate`, {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "x-api-key": "your-api-key",
  },
  body: JSON.stringify({
    blueprint: "diabetes_hba1c_trial",
    n_patients: 10000,
  }),
});
const data = await res.json();
console.log(data.download_url);
Use cases
01 / 04

"Train AI models without exposing real patient data."

S

Synthetic healthcare data for AI and research teams.

Application

Synthetic training datasets

Compatible with modern healthcare data standards

FHIROMOPHL7SNOMEDLOINCICD-10ParquetCSVJSON
FHIROMOPHL7SNOMEDLOINCICD-10ParquetCSVJSON
Pricing

Simple, transparent
pricing

Start free and scale as you grow. No hidden fees, no surprises.

MonthlyAnnualSave 20%
01

Starter

For researchers and early experimentation.

$1,990/year
  • Up to 20K synthetic patients
  • Up to 5 dataset generations per month
  • CSV / JSON / Parquet exports
  • Standard healthcare schema templates
  • Community support
Start building
Most Popular
02

Pro

For production AI pipelines and growing teams.

$9,990/year
  • Up to 1M synthetic patients
  • Unlimited dataset generations
  • API access
  • Custom schema support
  • Advanced dataset configuration
  • Priority support
Start trial
03

Enterprise

For biotech companies, healthcare AI teams, and regulated environments.

Custom

(Starting at $35K / year)

  • Unlimited dataset generation
  • Private infrastructure option
  • Custom healthcare schema design
  • FHIR / OMOP / HL7 integrations
  • Enterprise security review
  • Dedicated engineering support

Security & Compliance

  • HIPAA-ready infrastructure
  • SOC2-aligned security practices
  • Synthetic data platform (no real patient records processed)
Contact sales

HIPAA-ready • SOC2-aligned practices • GDPR-aware data handling

All plans include secure dataset generation, API access, and privacy-preserving synthetic data modeling. View documentation.

Generate realistic
healthcare datasets in minutes.

Synthetic healthcare data for AI models, clinical research, and analytics pipelines.

Tell us about your project.

Share a few details and we'll help you generate the right synthetic healthcare datasets.