PathomIQ

PathomIQ

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Private Company

Total funding raised: $2.8M

Overview

PathomIQ is pioneering an AI-driven, interpretable multiomics platform in the diagnostics sector, focusing on transforming precision oncology. Its core asset is a first-of-its-kind phenotype atlas trained on thousands of histopathology slides with corresponding genomic data, enabling the prediction of therapy response, metastasis risk, and gene mutations from routine tissue images. The company positions its solution as a faster, more cost-effective, and tissue-preserving alternative to standalone genomic assays, with demonstrated applications in prostate, triple-negative breast, and ER+/HER2- breast cancers. PathomIQ is a private, likely pre-revenue company seeking to establish its AI-powered predictive tests as a new standard in clinical decision support.

Oncology

Technology Platform

AI-powered interpretable multiomics platform that integrates digital pathology (morphology) with genomics. It uses a proprietary phenotype atlas trained on thousands of histopathology slides with genomic correlations to predict treatment response, outcomes, and gene mutations from standard H&E-stained tissue images.

Funding History

1
Total raised:$2.8M
Seed$2.8M

Opportunities

The growing adoption of digital pathology and AI in clinical diagnostics creates a significant market entry opportunity.
There is strong demand for cost-effective, rapid, and integrative predictive tools that can optimize the use of expensive targeted therapies and immunotherapies, particularly in community oncology settings where genomic testing access may be limited.

Risk Factors

Major risks include the failure to achieve robust clinical validation and regulatory clearance (FDA/SaMD) for its AI models.
Furthermore, market adoption faces hurdles from entrenched clinical workflows and the challenge of securing insurance reimbursement for a novel diagnostic approach in a competitive landscape.

Competitive Landscape

PathomIQ competes in the rapidly evolving AI-digital pathology space against companies like Paige, PathAI, and Ibex Medical Analytics, as well as established genomic test providers (e.g., Exact Sciences, Myriad). Its key competitive claim is the unique integration of interpretable morphology with genomics to predict therapy response, positioning it as a potential complement or alternative to standalone genomic assays.