AI Imaging Biomarkers Marketplace
AI imaging biomarkers, governed at every timepoint.
Run 50+ validated imaging AI workflows and biomarker tools, bring your own models, or integrate third-party algorithms, all in one governed cloud environment. Every run is version-locked, audit-trailed, and reproducible, so the model applied at baseline is the same model applied at every later timepoint.
What the marketplace actually does.
Select a biomarker, run it, review the result. A few clicks.
Pick a tool from the marketplace, point it at a subject or a cohort, and run. Results land in the platform's zero-footprint browser viewer with the source images and outputs side by side, under role-based access and automated audit logging. Run several biomarkers on the same data simultaneously, or process large volumes in a single pass.
+No coding, no local install, no compute to manage
+Run multiple tools in parallel on the same subjects or cohorts
+Results reviewed in the browser viewer alongside source images
The model applied at baseline is the model applied at every later timepoint.
Every tool in the marketplace runs in a governed cloud environment. Each model is version-locked, audit-trailed, and reproducible, so longitudinal change is never the result of a software update. No black box, and no open question when a monitor or a regulator asks which version produced a number.
+Version-locked deployment for QMENTA, open-source, partner, and your own models
+Every run captured in the audit trail with the model version that produced it
+Reproducible on demand for a monitor, an auditor, or a regulator
Scanner variability standardized before it reaches the model.
Data acquired across GE HealthCare, Siemens Healthineers, Philips, Canon, United Imaging, and any DICOM system is standardized across manufacturers, field strengths, and protocols before a biomarker runs on it. The variation that silently degrades AI output is handled at the infrastructure level, with original files always preserved.
+Vendor-neutral across all major manufacturers and any DICOM system
+Field-strength and protocol differences standardized automatically before analysis
+Harmonized data queryable; source files never overwritten
Connect, train, and validate your own algorithms.
A semi-automatic workflow combines automated calculations with manual review, so you can check a biomarker's output against expert reads while you train it. The platform curates and harmonizes your multi-site data and gives you a governed place to run the model. It supports your validation study; it does not replace study design, reader studies, ground truth, or endpoints.
+Automated calculations paired with manual review steps
+Validate on your multi-site, multi-vendor data so results reflect real-world variability
+A path from development to a regulated validation study without a migration
Integrate existing algorithms without rebuilding them.
Bring your own or any existing AI imaging biomarker, image-processing tool, or ML model onto the platform through the QMENTA SDK, with documentation and support from a team that has been building this technology for more than ten years. Once integrated, your tool runs under the same version lock, audit trail, and harmonization as everything else in the marketplace.
+Python SDK, documentation, and support included
+Your model and your IP, running under QMENTA governance
+Same deployment path for proprietary, partner, and open-source tools
