GenomixAI processes DNA sequencing data alongside millions of medical journals to identify mutations and match patients with targeted therapies and clinical trials — in hours, not weeks.
A single whole-genome sequence generates 200+ GB of data. We turn it into an answer.
Oncologists face a data tsunami. A single patient's whole-genome sequencing generates 200+ GB of data. Manually identifying actionable mutations against thousands of medical journals and clinical trials is nearly impossible.
Our deep learning pipeline processes raw FASTQ files through a multi-layered neural network that identifies SNPs, indels, and fusion genes with 98.7% accuracy, then cross-references findings against 12,000+ clinical trials and 25M+ PubMed articles.
Purpose-built models that transform raw genomic data into oncology decisions.
Convolutional neural networks trained on 1M+ genomic samples detect SNPs, indels, and structural variants — reducing false positives by 62%.
CNN · WGS/WESNLP and graph neural networks ingest 25M+ PubMed articles and 12K+ clinical trials to surface mutation-therapy associations.
GNN · NLPAI ranks targeted therapies, immunotherapies and chemotherapies based on mutation profile, tumor type and treatment history.
Precision OncologyAutomatically identifies active trials based on eligibility criteria, mutation profile and geographic location.
Trial MatchingFaster treatment initiation vs. manual genomic interpretation
More patients matched to targeted therapies
Reduction in false-positive variant calls
Clinical trials continuously monitored and indexed
"Every hour saved in treatment planning is a life that can be saved."
GenomixAI empowers every stakeholder in the oncology care continuum.
Get actionable treatment recommendations backed by AI and the latest clinical evidence.
Accelerate variant interpretation with AI-powered annotation and filtering.
Integrate GenomixAI into your research workflows and clinical trials matching.
Accelerate patient recruitment for clinical trials with AI-powered matching.
"GenomixAI identified a rare ALK fusion in a patient we were about to start on conventional chemotherapy. The AI matched them to a targeted therapy now showing a complete response."
"We went from 3 weeks to 48 hours for complete genomic reports. The AI's trial matching has tripled our patient enrollment in life-saving clinical trials."
"The knowledge graph mining found a combination therapy from a 2024 publication that we had missed — it's now part of our standard protocol for EGFR-mutant lung cancer."

Oncologist turned AI entrepreneur. Former faculty at Johns Hopkins.

AI/ML PhD with 5+ years in bioinformatics. Former Google Genomics.

Board-certified geneticist. Former director of a CLIA-certified lab.

Computational biologist. Built the knowledge graph engine powering the platform.
Tell us about your practice or research, and we'll show you how GenomixAI can help.
Deploy GenomixAI in your practice or research lab in days, not months.
Securely upload FASTQ, BAM, or VCF files to our HIPAA-compliant cloud.
Our AI pipeline analyzes your genomic data against 25M+ medical journals.
Receive personalized therapy and clinical trial recommendations in under 24 hours.