Model clinical reality,before it exists
Generate, simulate, and validate patient data for AI development, clinical research, and real-world workflows.
Used across AI development, clinical research, and real-world data workflows.
A unified platform for generating, simulating, and validating clinical data.
Instant Dataset Generation
Generate realistic synthetic healthcare datasets in seconds for AI development, research, and testing.
Clinical & EHR Data Simulation
Simulate patient cohorts, clinical trials, and longitudinal health records without exposing real data.
AI Model Testing Sandbox
Create safe environments to test machine learning models, analytics pipelines, and healthcare applications.
Privacy-Safe Synthetic Data
Use synthetic healthcare data for experimentation without PHI, compliance risk, or patient exposure.
Catalog
Featured Datasets
Browse privacy-safe synthetic biomedical cohorts for ML training, simulation, and research — each dataset links to schema, previews, and purchase options.
- cardiologyCardiology OutcomesSynthetic patient-level cardiovascular risk factors and biomarkers for ML and outcomes research.
- claimsClaimsSynthetic patient-level rows with fields: patient_id, age, sex, diagnosis_code, procedure_code, claim_amount, ….
- claimsClaimsSynthetic patient-level rows with fields: patient_id, age, sex, diagnosis_code, procedure_code, claim_amount, ….
- clinical trialClinical Trial OutcomesSynthetic patient-level rows with fields: patient_id, age, sex, trial_arm, baseline_value, endpoint_value, ….
- ehrEhrSynthetic patient-level rows with fields: patient_id, visit_date, age, sex, diagnosis, medication, ….
- healthcareDiabetes Hba1c TrialSynthetic patient-level rows with fields: patient_id, age, sex, treatment_group, baseline_measure, outcome_measure.
- hospitalHospital ReadmissionSynthetic patient-level rows with fields: patient_id, age, sex, admission_diagnosis, discharge_disposition, readmission_30d.
- metabolicMetabolic Outcomes TrialSynthetic patient-level metabolic and intervention outcomes for clinical and ML research.
Built for developers.Designed for researchers.Trusted by clinical teams.
Generate, simulate, and validate clinical data with a unified platform.
From model development to study design and analysis, Syntherx enables teams to work with realistic, privacy-safe data without access barriers.
Schema-aware generation
Generate datasets with clinical variable relationships preserved for downstream modeling and pipelines.
Deterministic simulation
Reproduce cohorts and experiments with controlled variability for validation, benchmarking, and study design.
Privacy-first design
Work with realistic patient-level data without exposing PHI or navigating regulatory constraints.
API-first platform
Integrate dataset generation, simulation, and validation directly into ML workflows and clinical pipelines.
Used across AI development, clinical research, and regulatory strategy workflows.
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);
Realistic by
design.
Generate realistic synthetic healthcare datasets for AI development, clinical research, and analytics pipelines.
Works with the tools
AI and research teams already use.
Export synthetic healthcare datasets for machine learning, analytics, and clinical research workflows.
Trust is
non-negotiable.
Enterprise-grade security isn't optional. It's built into every layer of our platform, from infrastructure to application.
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.
Three steps.
Endless possibilities.
1import axios from "axios";23const res = await axios.post("https://api.syntherx.com/generate", {4 dataset: "clinical_trial",5 population: 1000,6});78console.log(res.data);
“Train AI models without exposing real patient data.”
Synthetic healthcare data for AI and research teams.
Synthetic training datasets
Compatible with modern healthcare data standards
Clinical Simulation
Infrastructure
Move from synthetic datasets to simulation-ready clinical intelligence.
Data Foundation
Structure, standardize, and generate simulation-ready clinical datasets.
- Schema Mapping (Data Foundation module)
- Synthetic Dataset Generation
- Clinical Variable Templates (Gordis-based)
- Population Distribution Modeling
- CSV / JSON / Parquet Export
- Simulation-ready data layer
Simulation
Model patient populations and test clinical hypotheses before real-world trials.
- Cohort Builder
- Scenario Simulation (what-if modeling)
- Variable Impact Analysis
- Advanced Dataset Configuration
- API Access
- Priority Support
Clinical Infrastructure
For biotech companies, healthcare AI teams, and regulated environments.
(Starting at $35K / year)
- Synthetic Control Arm Generation
- Replicorr Validation Engine
- Outcome Simulation (disease progression)
- Custom Epidemiological Modeling
- Private Infrastructure Option
- FHIR / OMOP / HL7 Integrations
- Dedicated Engineering Support
Security & Compliance
- HIPAA-ready infrastructure
- SOC2-aligned security practices
- Simulation-based platform (no real patient data processed)
- Validated simulation environment for clinical decision-making
HIPAA-ready • SOC2-aligned practices • GDPR-aware data handling
All plans include simulation-ready clinical data layers, privacy-preserving modeling, and pathways to deeper clinical insights. View documentation.
Generate realistic
healthcare datasets in minutes.
Clinical data generation, simulation, and analysis for AI, research, and real-world workflows.
Tell us about your project.
Share a few details and we'll help you generate the right synthetic healthcare datasets.