Biologically Accurate Synthetic cfDNA For Genomics Research
Biologically accurate, reference-backed cell-free DNA across 107 genetic conditions. Built for NIPT algorithm development, method validation, and genomics research.
Clinically Validated
AUC 0.87 detecting real karyotyped T21 using only synthetic training data (p=0.002). Detects cases that standard NIPT would miss. Tested on 26 clinical samples from Lun et al. 2014.
Comprehensive Coverage
107 genetic conditions across 7 categories — aneuploidies, microdeletions, microduplications, monogenic disorders, oncology hotspots, repeat expansions, and imprinting disorders.
Pipeline Ready
94.2% alignment at MAPQ >= 30. Delivered as paired-end FASTQ or aligned BAM. Drop directly into existing NIPT pipelines.
Our Platform
Two Products, One Mission
Synthetic cfDNA Data Generation
Ship Today
- Generate millions of synthetic datasets across any condition
- Perfect ground truth labelling
- Privacy-preserving alternative to patient data
- 4-level validation framework
AI-Enhanced Prenatal Testing
Clinical Platform — Coming Soon
- Targeting ultra-low foetal fraction analysis (1-2%)
- 107 condition screening in a single test
- Population-specific risk assessment
- Real-time quality assessment and confidence scoring
Synthetic Data Generation
How It Works
Configure
Specify conditions, foetal fraction, fragment depth, and output format for your synthetic samples
Generate
Reference-backed cfDNA fragments with biologically accurate size distributions, GC content, and condition-specific signals
Validate & Use
Ground-truth labelled data ready for algorithm development, method validation, or ML model training
Ready to Get Started?
Whether you need synthetic cfDNA data for algorithm development and validation, or are interested in our clinical prenatal testing platform in development, we are accepting enquiries.