# Imagenomix

Source: https://onco.cc/companies/imagenomix/  
OnCo record `imagenomix` (Company). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)"; commercial use needs a licence.

## TL;DR

Imagenomix, a spinout of NYU Langone, makes software that looks at a standard biopsy slide and predicts which cancer-driving mutations the tumour has, in minutes and without using up tissue, starting with lung cancer.

## Summary

Imagenomix grew out of research at NYU Langone Health, where its founders, the pathologists Aristotelis Tsirigos, Matija Snuderl and Daniel Orringer, showed that AI could infer a tumour's driver mutations from H&E-stained slides. Its IGX Predict platform installs alongside digital pathology scanners and, according to NYU's launch announcement, returns a report to the doctor in about three minutes. The lung product, Pulmogene, is listed as commercial; a breast product (BLISS) is in development, and brain (NeuroInsight) and melanoma (DermPredict) products are on the roadmap. Travis Wold is chief executive.

## Fields

- Kind: Company
- Last checked: 2026-10-29
- HQ: New York, NY
- Type: ai-software
- Website: https://imagenomix.ai/

## Notes

- Founding year not stated by the company; its timeline places commercial launch of IGX Predict in 2023 and NYU announced the startup's launch in about 2024. A USD 3.2 million seed round in May 2026, reported by GenomeWeb as led by Modi Ventures, could not be read in a primary source, so no funding row is recorded. Regulatory status of the products is not stated on the company website.

## Sources

- Official website: https://imagenomix.ai/
- NYU Technology Opportunities and Ventures: launch announcement: https://tov.med.nyu.edu/news/new-startup-imagenomix-launches-to-improve-access-to-cancer-testing/

## Connected records

- cancers: [Breast cancer (all types)](https://onco.cc/cancers/breast-cancer/), [Lung cancer (all types)](https://onco.cc/cancers/lung-cancer/)
- fronts: [AI & Computation](https://onco.cc/fronts/ai-computation/), [Diagnostics & Biomarkers](https://onco.cc/fronts/diagnostics/)
- technologies: [AI scoring of biomarkers and grade on pathology slides](https://onco.cc/technologies/ai-pathology-scoring/), [Digital pathology & AI](https://onco.cc/technologies/digital-pathology-ai/)

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