XGenomes develops DNA sequencing technologies that utilize optical super-resolution imaging and machine learning to monitor health, detect early disease signals, and track interventions throughout an individual's life. Their platform addresses high error rates and complex workflows in existing sequencing methods, providing a streamlined and cost-effective solution for continuous health monitoring.
Funding
$200K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MLTVFounders
Product
Problem
Current DNA sequencing methods suffer from high error rates, complex workflows, lack of flexibility, high costs, and cumbersome multiomics, hindering their use for continuous health monitoring and early disease detection. These limitations restrict the ability to track molecular signals of health, disease, and aging throughout an individual's life.
Solution
XGenomes is developing a DNA sequencing technology that leverages optical super-resolution imaging and machine learning to overcome the limitations of existing methods. Their platform monitors health, detects early disease signals, and tracks interventions by observing billions of single-molecule interactions at nanometer resolution. By using artificial intelligence to decode sequence and epigenetic states, XGenomes aims to provide a streamlined and cost-effective solution for creating a molecular log of an individual's health throughout their lifetime. The technology employs a streamlined workflow, a repertoire of oligonucleotides, dynamic repetitive binding, built-in redundancy, and superresolution imaging.
Target Audience
The primary target audience includes healthcare providers, researchers, and individuals seeking continuous health monitoring and early disease detection through advanced DNA sequencing.
Features
- Optical super-resolution imaging to visualize single-molecule interactions at nanometer resolution.
- AI-powered decoding of sequence and epigenetic states.
- Streamlined workflow for simplified sequencing processes.
- Repertoire of oligonucleotides for targeted sequencing.
- Dynamic repetitive binding to enhance sequencing accuracy.
- Built-in redundancy to minimize error rates.