TensorCare

Our tecnology

When the decision is not obvious, subjective becomes risk.

In early and borderline cartilage degeneration, clinicians face decisions which carry the highest risk of error - yet qualitative MRI often cannot distinguish stability from progression.
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At this stage:

Continuing treatment too long risks progression

Stopping too early risks losing a viable window

Repair versus replacement becomes difficult to justify

TensorCare is designed specifically for this moment.

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Quantitative intelligence layer for optimized decisions

TensorCare adds precision cartilage morphology metrics to routine MRI to help clinicians:

Justify continuing vs. stopping orthobiologic treatments

Assess whether structural margin still exists

Document repair vs. replacement decisions in borderline patients

Precision PKR vs.TKR patient selection

Support decisions with reproducible, measurable data

This is decision documentation when judgment alone.

Pilot program

Structured paid pilot program

Evaluate decision-grade cartilage metrics in your own patients.

Processing of a defined number of retrospective or prospective MRI cases

Quantitative cartilage morphology reports per case

Interactive 3D visualization outputs

Pilot summary focused on reproducibility, feasibility, and decision support

Request paid pilot details

Institutional, clinical, and industry pilots available

the stats headline

Built on reproducibility, not interpretation

TensorCare is being evaluated through peer-reviewed research and institutional collaborations focused on consistency, reproducibility, and methodological rigor.

reproducibility in cartilage morphology

± 0.1mm reproducibility

Clinically validated Applications

10+

Active research programs

About

The people behind the evidence

TensorCare unites clinicians, engineers, and data scientists to build the evidence infrastructure for measurable medicine.

Javier Urzúa

CEO & Co-Founder

Boris Panes

Co-Founder & CTO

Sebastian Irarrazabal

Co-founder & CMO

Carlos Andrade

Co-Founder & Chief of Biomedical Engineering

Roberto Yañez

Medical board member

Casandra Lee

Medical board member

Álvaro Burdiles

Medical board member

Hernán González

Diagnostics and medical device advisor

Markus Schreyer

Life science management advisor

Franco Zapata

Legal counsellor

collaborate

TensorCare collaborates with hospitals, clinics, and research institutions to advance reproducible, quantitative joint imaging.

By joining out Scientific Program, you'll gain early access and elevate the technology within your environment - contributing to peer reviewed research and the gloabal evidence base for measurable joint health.

Join the Scientific Program

Access TensorCare's quantitative MRI analytics

Participate in reproducibility & validation studies

Co-author measurable imaging research

Collaborate with clinical and data-science teams

Involvement in early inclusion in multicenter publications

Contribute to the global dataset of measurable medicine

The evidence

Building the evidence for reproducible cartilage imaging

Clinical evidence shows measurable consistency in cartilage quantification using AI assisted MRI post-processing. The first clinical step towards standardized, data driven MSK imaging at point of care.