BCN-MedTech

Name

BCN-MedTech

Legal name

Universitat Pompeu Fabra

Website

https://bcn-medtech.upf.edu

Company type

Private

Operating status

Operating

Headcount range

11–50 employees

Ownership category

akta.pro rank

Product category

Biomedical Engineering Research

NAICS

Scientific Research and Development Services (5417), Research and Development in the Physical, Engineering, and Life Sciences (54171)

SIC

Services-Health Services (8000), Surgical & Medical Instruments & Apparatus (3841)

akta.pro primary industry

SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG)

akta.pro secondary industry

Scientific Data Management & Data Platforms (SDMS/Data Lakehouse for R&D) (HLAGAJAC)

Keywords

• Biomedical engineering research
• Medical image analysis
• Computational physiology modeling
• Computer assisted surgery
• Biomedical signal processing

Headquarters

HQ city

Barcelona

HQ country

Spain

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Infrastructure, Operations

Revenue model

1. Research Funding and Grants: Funded through university research budgets, European research grants, and institutional funding for academic research in biomedical engineering
2. Technology Transfer: Knowledge transfer activities including research collaborations with industry and clinical institutions

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

Core offering

BCN-MedTech is an interdisciplinary biomedical engineering research center within Universitat Pompeu Fabra that develops computational tools for clinical decision-making. Its offerings span medical image analysis, surgical planning and navigation systems, patient-specific physiological modeling and simulation, biomedical signal processing (including EEG/epilepsy analysis), electroporation-based therapies, machine learning for personalized medicine, and biomedical data handling platforms. Outputs are delivered through research collaborations, technology transfer, and publications rather than commercial product sales.

Product overview

BCN-MedTech is a research consortium at UPF comprising 6 research groups (SIMBIOsys, PhySense, BERG, NTSA, NDG, TransCOR) and covering 9 research areas. It is not a commercial product company but rather an interdisciplinary biomedical engineering research center with approximately 70 researchers. The research areas include Computer Assisted Surgery, Medical Image Analysis, Biomechanics and Mechanobiology, Physiological Modelling, Biomedical Signal Processing, Biomedical Electronics, Bioelectricity, Machine Learning for Personalized Medicine, and Biomedical Data Handling.

Differentiator

Problem solved

Functional benefit

Products and services

• SIMBIOsys (Simulation of Biological Systems) Research group performing medical image analysis, biomedical data, computational biomechanics and systems mechanobiology, including electroporation therapies and electronic implants for neuroprosthetics. For clinical and academic partners seeking translational biomedical engineering research.
• PhySense Research group synthesizing engineering, physics, and mathematics with physiology and clinical medicine to foster interdisciplinary research in biomedical applications, including physiological modelling and biomedical signal processing.
• BERG (Biomedical Electronics Research Group) Research group concentrating on bioelectrical phenomena and innovating methods and devices for biomedical use, including electroporation-based therapies for tumor eradication and cardiac arrhythmia management, plus thin electronic implants for neuroprosthetics.
• NTSA (Nonlinear Time Series Analysis) Research group at the intersection of physics, applied mathematics, and neuroscience, pioneering nonlinear time series analysis methods for biomedical signal processing, including EEG analysis for epilepsy patients.
• NDG (Neuronal Dynamics Group) Research group within UPF's Department of Information and Communication Technologies focused on neuronal dynamics in biomedical applications.
• TransCOR Research and translation group that improves clinical decision-making, information pipelines, and research by developing and translating computational tools to clinical settings.
• Computer Assisted Surgery Tools Software and devices for surgical planning and intervention guidance, including simulations and navigation for cochlear implants, microwave-based catheters for colonoscopy, cardiac ablation planning, and assisted laparoscopic and fetal surgery. Aimed at clinical and surgical research partners.
• Medical Image Analysis Platform Tools for image segmentation, registration, and quantification to extract clinically useful information from multi-modality biomedical image data, aimed at clinicians and clinical researchers.
• Biomedical Data Handling Platform Health platform gathering biomedical information and delivering it to clinicians, providing a data repository, cloud algorithm execution, and an interpretation engine that analyzes biomedical data into comprehensive statistics. Aimed at clinicians and healthcare providers.

Named customers1 record

Segments1 record

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature6 records

Partnerships

Six partnerships are on record, tiered core and minor.

• Eutopia European University AlliancecoreStrategic or Co-development Partner · 1 January 2019BCN-MedTech, through UPF, coordinates the Eutopia alliance of 10 European universities. EUTOPIA is an inclusive, challenge-led alliance aiming to become an open, multicultural, confederated operation of connected campuses by 2030. The alliance has been awarded a €14.4m grant for the EUTOPIA More project to shape the future of higher education in Europe.
• The Guild of European Research-Intensive UniversitiesminorStrategic or Co-development PartnerUPF is a member of The Guild, a network of European research-intensive universities
• Alianza 4 Universidades (A4U)minorStrategic or Co-development PartnerAlliance of four Spanish universities for collaborative research and education
• Associació Catalana d'Universitats Públiques (ACUP)minorStrategic or Co-development PartnerCatalan public universities association for collaborative initiatives
• European University AssociationminorStrategic or Co-development PartnerEuropean university membership organization supporting higher education development
• EUTOPIA member universitiescoreStrategic or Co-development Partner10 European universities collaborating in the Eutopia alliance: 298,303 students, 91,518 master's students, 184,003 undergraduate students, 22,782 PhD students, 45,498 staff, 23,700 academic staff, 874 research groups, 139 faculties

Scale indicators3 records

Recent moves6 records

Expansion highlights4 records

Emerging players

• HeartFlow: HeartFlow is a US-based medical technology company commercializing patient-specific cardiac simulation using CT imaging to non-invasively assess coronary artery disease—directly comparable to BCN-MedTech's patient-specific cardiac simulation and physiological modeling work via the SIMBIOsys group.
• Brainlab: Brainlab is a Munich-based medical technology company specializing in surgical planning, image-guided surgery, and intraoperative navigation across multiple specialties—closely overlapping BCN-MedTech's Computer Assisted Surgery and Medical Image Analysis research areas.

Broad incumbents

• Siemens Healthineers: Siemens Healthineers is a global medical technology incumbent with broad offerings in medical imaging (CT, MRI), AI-augmented diagnostics, and digital health—sharing BCN-MedTech's focus on medical image analysis, ML-based diagnosis, and biomedical data platforms, though at much greater commercial scale.
• Philips Healthcare: Philips Healthcare is a global incumbent in medical imaging, image-guided therapy, patient monitoring, and clinical informatics—directly comparable to BCN-MedTech's work in medical image analysis, surgical navigation, and biomedical data handling, but as part of a much broader commercial portfolio.

Direct peers

• ETH Zurich Department of Biomedical Engineering: ETH Zurich's Department of Biomedical Engineering is a leading European university research department conducting interdisciplinary work in medical imaging, physiological modeling, bioelectronics, and computational medicine—directly comparable to BCN-MedTech's mandate of bridging engineering, physics, and clinical medicine through multiple specialized research groups.
• Karolinska Institutet Department of Medical Engineering: Karolinska Institutet's medical engineering research is a leading Nordic biomedical research environment with strong programs in medical imaging, signal processing, and clinical translation—sharing BCN-MedTech's structure as an academic center translating computational tools to clinical practice.
• Imperial College London Department of Bioengineering: Imperial College London's Department of Bioengineering is a UK-based interdisciplinary department combining bioengineering, imaging, and physiological modeling with clinical translation—sharing BCN-MedTech's structural model of multiple specialized groups delivering translational biomedical engineering research.
• King's College London School of Biomedical Engineering and Imaging Sciences: King's College London's School of Biomedical Engineering and Imaging Sciences is a top-tier European interdisciplinary research school covering medical imaging, computational modeling, surgical planning, and AI for clinical applications—closely overlapping BCN-MedTech's nine research areas and translational mission.
• Johns Hopkins Department of Biomedical Engineering: Johns Hopkins' Department of Biomedical Engineering is one of the largest US-based academic biomedical engineering research centers, with strong programs in medical imaging, computational medicine, surgical planning, and neural engineering—directly comparable to BCN-MedTech's research breadth and translational ambition.
• MIT Institute for Medical Engineering and Science: MIT's IMES is an interdisciplinary research institute at a leading US university that integrates engineering, physical sciences, and medicine across imaging, biomechanics, and computational medicine—sharing BCN-MedTech's profile of multiple research groups working on AI-driven clinical applications and biomedical signal analysis.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/bcnmedtech

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about BCN-MedTech