Tensormedical

What Tensormedical does

Tensormedical, S.L. is a Spanish medical technology company founded in 2020 as a spin-off of the University of Girona (VICOROB research group) and the Vall d'Hebron Institute of Research (VHIR) in Barcelona, headquartered at Pic de Peguera 11, Girona. The company develops machine-learning software that automates the analysis of brain MRI scans, with an initial focus on improving clinical management of patients with Multiple Sclerosis (MS). Its stated mission is to address the documented limitations of manual visual MRI reading, where sensitivity for detecting new MS lesions has historically fallen below 50%, contributing to suboptimal treatment decisions and progressive patient disability. Its core product is copilot.ms, a cloud-based ML platform that helps neuroradiologists detect new appearing brain lesions with high sensitivity and specificity, and a related second product AH-1 is classified as Software as a Medical Device (SaMD) processing pseudonymised MRI scans to support clinical treatment decisions for neurodegenerative diseases.

The intended business model is subscription-based enterprise SaaS (SaMD) sold to hospitals and neuroradiology departments, currently structured as enterprise field sales validating the software at multiple European hospitals ahead of CE and FDA certification targeted before 2024. Go-to-market is concentrated on clinical validation rather than broad commercial activity, with regulatory certification positioned as the gating step to commercialization. The company operates as a small remote-first team of approximately 8 members, combining internationally awarded medical imaging researchers with clinical key opinion leaders (Prof. Xavier Lladó as CSO, Prof. Àlex Rovira as CMO, Prof. Xavier Montalban chairing the advisory board).

To date, Tensormedical has been funded exclusively through non-dilutive Spanish public grants — Torres Quevedo (2021, 2022), Doctorado Industrial (2022), and Neotec (2023) — with no disclosed venture capital rounds. It is supported by Microsoft for Startups and NVIDIA Inception, holds GDPR compliance and TLS-secured infrastructure, and is collaborating with academic and clinical institutions including VHIR, the University of Girona's VICOROB group, Cemcat, and Hospital Trueta (ICS Girona).

Name

Tensormedical

Legal name

TENSORMEDICAL, S.L.

Website

https://tensormedical.ai

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

1–10 employees

Short description

Tensormedical, founded in 2020 and headquartered in Girona, Spain, develops cloud-based machine-learning software (copilot.ms and AH-1) that automates brain MRI lesion detection to help hospitals and neuroradiologists improve diagnosis and treatment monitoring for Multiple Sclerosis patients.

Ownership category

akta.pro rank

Product category

Medical Imaging AI Software

NAICS

Computer Systems Design and Related Services (54151), Research and Development in the Physical, Engineering, and Life Sciences (54171)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Software as a Medical Device (SaMD) – Clinical Decision & Diagnostic Software (HLACANAD)

akta.pro secondary industries

Medical Imaging AI (HDAAAEAH), SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG), AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG)

Keywords

• Medical imaging software
• Multiple sclerosis diagnostics
• Brain MRI analysis
• AI radiology platform
• Software as Medical Device

Headquarters

HQ city

Girona

HQ country

Spain

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Medical Software SaaS (copilot.ms): Cloud-based medical device software platform for MS patient follow-up. Revenue model expected to be subscription-based as a Software as Medical Device (SaMD). The company is pursuing medical device regulation certification in Europe (CE) and United States (FDA) before 2024.

Go-to-market motion1 record

Distribution channels1 record

Core offering

Tensormedical develops copilot.ms, a cloud-based software platform powered by machine learning algorithms that helps neuroradiologists assess MRI activity in Multiple Sclerosis patients by detecting new appearing brain lesions with high sensitivity and specificity. The company also offers AH-1, a Software as a Medical Device (SaMD) that processes pseudonymised brain MRI scans to support clinical treatment decisions. Both products aim to reduce the diagnostic error associated with manual visual reading of magnetic resonance images and predict disease progression to optimize treatment decisions.

Product overview

Tensormedical is a medical technology company offering two related medical imaging software products: copilot.ms, a cloud-based platform for neuroradiologists to assess MRI activity in Multiple Sclerosis patients, and AH-1, a medical software device (SaMD) that processes brain MRI scans to support clinical treatment decisions. Both products leverage machine learning for brain lesion detection and disease progression analysis.

Differentiator

Problem solved

Functional benefit

Brands

• copilot.ms: Cloud-based software platform powered by cutting-edge machine learning algorithms that help neuroradiologists improve the assessment of MRI activity in MS patients.
• AH-1

Products and services

• copilot.ms A cloud-based software platform powered by machine learning algorithms that helps neuroradiologists improve the assessment of MRI activity in Multiple Sclerosis patients by detecting new appearing brain lesions with high sensitivity and specificity. The platform supports disease progression prediction and treatment optimization.
• AH-1 Medical software classified as Software as a Medical Device (SaMD) that processes brain MRI scans to support clinical treatment decisions for patients with neurodegenerative diseases. The software elaborates and analyzes pseudonymised MRI scans and validated results for brain lesion status.

Quantifiable outcome

• Neuroradiologists' sensitivity for lesion detection improved from below 50% to unprecedented levels with automated analysis

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature2 records

Partnerships

Four partnerships are on record, tiered core and supporting.

• University of Girona (UdG)coreStrategic or Co-development PartnerAcademic spin-off origin. TensorMedical is a spin-off company of the University of Girona, leveraging research expertise in medical imaging from the university's Vision and Robotics group (VICOROB) at the Institut d'Informàtica i Aplicacions.
• Vall d'Hebron Institute of Research (VHIR)coreStrategic or Co-development PartnerAcademic spin-off origin. TensorMedical is a spin-off company of VHIR in Barcelona, collaborating with medical experts including Prof. Àlex Rovira (CMO) who is a key opinion leader in neuroradiology.
• NVIDIAsupportingOthersNVIDIA startup supporter. Listed as supporter providing technical resources and platform support for AI/ML development.
• MicrosoftsupportingOthersMicrosoft startup supporter. Listed as supporter providing cloud platform and startup ecosystem resources.

Scale indicators3 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• icometrix: Belgium-based AI company that develops cloud software (icobrain) for quantitative brain MRI analysis, with a flagship MS module (icobrain ms) that detects and tracks lesions. It is the closest direct competitor to Tensormedical's copilot.ms in target indication, customer (neuroradiology/MS clinics), and SaMD business model.
• Qure.ai: AI medical imaging company with FDA-cleared, cloud-deployed algorithms that interpret CT/MRI scans and integrate into radiology workflows. Comparable to Tensormedical as a clinical decision-support SaMD play targeted at hospitals and built around deep-learning image analysis.
• Aidoc: Provider of AI-driven workflow and image-analysis software for radiologists, deployed in hundreds of hospitals. Comparable as a hospital-facing, SaMD-style imaging AI vendor pursuing regulatory clearance and enterprise sales.
• Viz.ai: Cloud-based AI platform for neurological imaging (notably stroke/LVO detection) routed to specialists via mobile workflow. Highly comparable business model and customer base to Tensormedical's MS MRI copilot, focused on neurology use cases.

Emerging players

• Subtle Medical: AI software that improves MRI image quality and accelerates acquisition, used by neuroradiology departments. Comparable because it is cloud-deployed, hospital-targeted AI for brain MRI workflows, though its value proposition sits upstream of lesion detection.
• Arterys: Cloud-native, FDA-cleared AI imaging platform with clinician-facing analytics for radiology. Comparable to Tensormedical in being a cloud-first medical imaging SaMD with hospital SaaS distribution.
• Blackford Analysis: Provides an AI orchestration platform and curated radiology algorithm marketplace deployed inside hospital PACS workflows. Comparable as a hospital imaging-AI infrastructure vendor adjacent to Tensormedical's clinical decision software.
• Quantib: Netherlands-based AI radiology company with brain MRI quantification products. Regionally and functionally comparable to Tensormedical: small European vendor with hospital-grade brain imaging AI pursuing SaMD positioning.

Broad incumbents

• Brainlab: Established vendor of neurosurgery and radiology imaging software with deep hospital relationships across Europe. Comparable as a larger incumbent in hospital brain imaging software, potentially a partner, channel, or competitive threat to Tensormedical.
• Siemens Healthineers (AI-Rad Companion): Large incumbent offering AI-augmented radiology and MRI post-processing suites (e.g., AI-Rad Companion, syngo.via). Comparable as a broad incumbent with imaging AI capabilities touching MS brain MRI workflows.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/tensormedical

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles14 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Tensormedical