PreciseDx

PreciseDx

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Private Company

Total funding raised: $13.5M

Overview

PreciseDx is a private, commercial-stage diagnostics company using artificial intelligence to transform cancer prognosis. Its core technology, the OncoIntelligence platform, analyzes digitized pathology slides to deliver a quantitative risk score for breast cancer recurrence in hours, addressing a critical bottleneck in current care pathways. The company targets the significant market of intermediate-grade breast cancer patients, offering a faster, more objective, and cost-effective alternative to traditional gene expression profiling. Founded in 2017 by renowned pathologist Dr. Carlos Cordon-Cardo, PreciseDx is positioned to improve clinical decision-making and patient anxiety by accelerating diagnostic clarity.

OncologyBreast Cancer

Technology Platform

OncoIntelligence™: A proprietary AI/ML platform that performs quantitative morphometric analysis on standard digital pathology slides (H&E) to generate objective diagnostic and prognostic scores for cancer.

Funding History

2
Total raised:$13.5M
Series A$10M
Seed$3.5M

Opportunities

The large, underserved population of breast cancer patients with intermediate-grade tumors represents a multi-billion dollar market for faster, cheaper risk stratification.
The adaptable OncoIntelligence platform can be expanded to other cancer types with subjective grading, creating a pipeline of new diagnostic products.

Risk Factors

Key risks include securing consistent insurance reimbursement, overcoming clinician reliance on established gene expression tests, and competing in the increasingly crowded AI-digital pathology landscape.
Clinical adoption requires robust, ongoing validation across diverse patient populations.

Competitive Landscape

PreciseDx competes directly with gene expression test providers like Exact Sciences (Oncotype DX) and Myriad Genetics. It also competes in the broader digital pathology AI space with companies like Paige.AI, PathAI, and the AI divisions of large medtech firms (Roche, Philips), all developing algorithms for cancer diagnosis and prognosis.