Cerebriu develops AI-driven software designed to optimize MRI workflows by enabling real-time analysis during brain imaging. The company’s platform focuses on detecting critical findings such as infarcts, hemorrhages, and tumors while the scan is still in progress. By integrating directly into the imaging workflow, the system aims to improve efficiency and clinical responsiveness. Cerebriu positions its technology within hospital radiology and acute care settings.

The technology analyzes MRI data as it is acquired, applying machine learning models to identify pathological patterns in near real time. When relevant findings are detected, the system can adapt scanning protocols to gather additional information or adjust image acquisition parameters. This mid-scan intelligence supports faster identification of urgent cases and more targeted imaging. The approach emphasizes seamless integration with existing MRI systems and clinical workflows.

Cerebriu targets applications in acute neurological care, stroke assessment, and brain tumor imaging. The platform is intended to support radiologists and clinicians by improving prioritization and reducing time to diagnosis. Its focus on real-time imaging intelligence reflects broader efforts to embed AI directly into diagnostic workflows rather than post hoc analysis.