Synthetic cfDNA
for NIPT Research

Generate unlimited, biologically accurate cell-free DNA data for algorithm development, validation, and research.

100%T21 Sensitivity
92.9%Distribution Match
54Conditions
16MMax Fragments

Real cfDNA is
scarce, sensitive,
and expensive.

Synthetic cfDNA removes the bottleneck. Generate exactly the data you need, when you need it, with perfect ground truth labels.

Unlimited Scale

Generate millions of samples with exact specifications. No consent barriers, no data sharing agreements, no waiting.

From 1 to 1 million samples

Perfect Labels

Every sample comes with ground truth. Know exactly what condition is present at what fetal fraction.

100% label accuracy

Rare Conditions

Generate trisomies, microdeletions, and sex chromosome aneuploidies on demand. Test the edge cases.

54 conditions available

Privacy Safe

Synthetic data contains no patient information. Share freely, publish openly, collaborate globally.

Zero patient data

How It Works

Our autoregressive transformer (AR v15) generates biologically coherent cfDNA sequences that pass clinical validation pipelines.

01

Learn

AR v15 model trained on real cfDNA captures fragment patterns, GC bias, and biological signatures.

02

Condition

Specify fetal fraction (2-25%), karyotype, and chromosome composition for each sample.

03

Generate

Autoregressive transformer generates sequences token-by-token, maintaining biological coherence.

04

Validate

4-level validation ensures distributional accuracy, z-score detectability, and downstream utility.

ModelAutoregressive Transformer v15
Output1M - 16M fragments per sample
Conditions54 conditions
Fetal Fraction2% - 25%
100%T21 DetectionZ-score validated at clinical thresholds

Clinically Validated

75%T18/T13 Sensitivity
100%Specificity
92.9%Distribution Match

Our synthetic cfDNA passes z-score detection with clinical-grade sensitivity. The 4-level validation framework ensures both statistical accuracy and biological functionality.

View full validation report

What You Can Build

01

Algorithm Development

Train and validate NIPT detection algorithms with unlimited labelled data.

02

Method Validation

Test sensitivity at different fetal fractions and read depths against known ground truth.

03

ML Augmentation

Augment limited real data with synthetic samples. +10% AUC improvement demonstrated.

04

Rare Condition Testing

Generate microdeletions and SCAs that are impossible to collect at scale.

05

Privacy-Safe Research

Conduct research without patient data concerns. Share datasets openly.

06

Benchmark Creation

Create standardised benchmarks for comparing NIPT methods across laboratories.

What's Next

We're continuously expanding our synthetic data capabilities.

NowSynthetic cfDNA
Q2 2025Multi-ancestry
Q3 2025Low FF Detection
Q4 2025API Access

Ready to Get Started?

Contact us to discuss your synthetic cfDNA needs. Whether you need a standard dataset or custom generation, we'll help you find the right solution.