Cortechs.ai

Cortechs.ai

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Private Company

Total funding raised: $15M

Overview

Cortechs.ai is a commercial-stage AI diagnostics company specializing in quantitative medical imaging software for neurology and oncology. Founded in 2017, it commercializes technology with roots dating back to 1996, establishing its NeuroQuant® product as a clinical standard for brain MRI volumetry. The company has achieved significant commercial traction with over 1,400 hospitals and imaging centers as customers across 44 countries. Its strategy focuses on expanding its software suite, securing reimbursement via new CPT codes, and leveraging partnerships with major imaging equipment manufacturers.

NeurologyOncology

Technology Platform

AI/ML platform for automated medical image segmentation and volumetric analysis, featuring a normative database for comparison against age/sex-matched controls.

Funding History

2
Total raised:$15M
Series A$12M
Seed$3M

Opportunities

The establishment of new CPT codes (0865T, 0866T) for AI-assisted brain MRI analysis creates a clear pathway to reimbursement, a major growth driver.
Expansion into quantitative prostate MRI with OnQ™ Prostate allows the company to address the large and clinically important oncology imaging market, diversifying its revenue streams.

Risk Factors

Key risks include dependence on the successful transition of temporary CPT codes to permanent reimbursement, intense competition in the medical AI software space from both startups and large imaging OEMs, and the ongoing need to demonstrate improved patient outcomes to drive clinical adoption beyond early adopters.

Competitive Landscape

Cortechs.ai competes in the crowded medical imaging AI market. Direct competitors include other specialized neuro-AI companies (e.g., icometrix, Viz.ai for stroke) and broader platform AI vendors. Its main advantages are its long clinical heritage, FDA-cleared products, large normative database, and established integrations with major imaging OEMs. Competition also comes from hospitals developing in-house solutions and OEMs building native AI into their scanners.