Tensor Medical  

Transforming the clinical management of Multiple Sclerosis patients trough machine intelligence


Sergi Valverde (See Profile)




Development, market readiness, clinical trial



Copilot.ms improves in 30% the total productivity for the clinician, increasing available time for other tasks.

Copilot.ms does not require standardized MRI scanners and image protocols to be used widely in clinical settings.

Copilot.ms increases 87% the capability of the clinician detecting the failure treatment response in MRI of MS patients.

Copilot.ms can potentially help to predict up to two years earlier the treatment failure compared to standard of care.

The adoption of copilot.ms at scale may reduce payors’ costs in 32.5B € during the patients’ treatment years.


IP Type

Trade secret




Our current technology is based on three innovative AI private modules (normalization, continuous learning and lesion inference) and a visual interface module. The lesion inference module is licensed exclusively from the VHIR and UDG institutions. The normalization and continuous learning modules are property of Tensor Medical, and we plan to patent them in 2024-2025. The visual interface is the only module that is public and is accessible to users to validate the results.

This information is confidential, do not share or copy.

Under evaluation at least till: July 13th, 2022

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