The company offers a cloud‑based platform that automatically processes brain MRI and CT DICOM files with deep‑learning segmentation and registration to generate quantitative biomarkers such as cortical thickness, white‑matter integrity, and lesion load. Results are delivered as standardized, PACS‑compatible reports via HL7/FHIR APIs, enabling radiologists and neurologists to incorporate objective metrics into diagnosis, monitoring, and research while reducing manual workload.
Funding
Funding not disclosed
Founders
Product
Problem
Brain MRI and CT scans are interpreted manually, yielding primarily qualitative assessments while the majority of quantitative data remains unused. This limits diagnostic precision, hampers early detection of neurodegenerative conditions, and strains an already overburdened radiology workforce as demand rises with an aging population.
Solution
The company provides a cloud‑based analytics platform that applies data‑science pipelines and algorithmic intelligence to existing neuroimaging datasets. Advanced machine‑learning models automatically extract quantitative biomarkers—such as regional volumes, tissue microstructure metrics, and lesion characteristics—from raw DICOM files. Processed results are delivered as standardized, searchable reports that can be integrated into PACS and EHR systems, enabling clinicians to incorporate objective metrics into diagnostic and treatment decisions. The platform also supports longitudinal tracking of biomarker trajectories, facilitating patient monitoring and therapeutic response assessment. By centralizing analytics, the solution reduces radiologist workload, improves consistency across sites, and creates a reusable data layer for research and drug development.
Target Audience
Primary users are radiologists, neurologists, and neuropsychiatrists who require quantitative imaging insights for patient care, as well as pharmaceutical and academic research teams developing brain‑targeted therapies.
Features
- Deep‑learning segmentation and registration pipelines optimized for brain MRI/CT modalities
- Automated extraction of validated quantitative biomarkers (e.g., cortical thickness, white‑matter integrity, lesion load)
- PACS‑compatible DICOM ingestion with HL7/FHIR APIs for seamless integration into radiology and EHR workflows
- Cloud‑hosted analytics engine with GPU acceleration for scalable batch and real‑time processing
- Standardized, exportable report templates that include visualizations, statistical summaries, and confidence intervals
- Cross‑site data harmonization tools that adjust for scanner variability and protocol differences
- Continuous model updating via federated learning while preserving patient privacy and HIPAA compliance
- Role‑based access controls and end‑to‑end encryption for secure handling of protected health information