Researchers already know what they want to test: a segmentation model on a cohort, a classifier against local data, or a generative model from a published paper. Too often, the real work starts only after that — CUDA issues, broken dependencies, missing GPUs, and weeks lost to setup instead of science. Nalvera.AI closes that gap by turning peer-reviewed medical imaging AI into a browser-based workflow researchers can actually use.
Our mission is simple: bring medical imaging AI to every researcher who needs it, at a price that makes sense. That means transparent pricing, clear data boundaries, and control that stays with the researcher.
Nalvera gives you hosted GPUs, containerised and versioned models, transparent per-job pricing before you submit, and refunds when a job fails through no fault of your own.
We prioritize EU-based providers (HQ) for compute, storage, and databases, and we keep pushing our stack in that direction as the European ecosystem grows.
Your scans and results stay under your control. We do not use them for training unless you explicitly opt in, and any research sharing is a deliberate per-job choice. Delete your data in one click
Beyond that: per-job audit logs, version-pinned containers, and clear receipts. If you're handling patient data and your DPO needs paperwork — DPAs, processing locations, retention — we have it ready.
Nalvera helps researchers turn peer-reviewed medical imaging models into usable tools for other teams. Publish through the platform, keep your rights, and make your model available alongside your own GitHub, lab site, or other channels.
For every completed job run through your model, you receive a per-job payout in EUR, with a partner interface that shows usage, citations, and earnings. And because trust matters, we only publish models that have already been validated in scientific literature.
Much of what makes Nalvera useful exists because researchers chose to make their work available to others. That choice takes time, invites scrutiny, and rarely comes with financial compensation.
To everyone who has open-sourced a model, published clearly, or helped others build on their work: thank you. Nalvera exists to amplify your contribution, not to replace your name on it.
Nalvera.AI was founded by Brent van der Heyden, its sole founder. He holds a PhD in medical physics and works as a researcher in medical device technology and applied AI for medical imaging and radiotherapy. He first used AI back in 2018, to auto-segment organs-at-risk in a (pre)clinical radiotherapy setting, and has not stopped since.