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Product Tour

A five-step walkthrough of the Nalvera platform — from submitting a scan to inspecting AI results in the browser. Peer-reviewed models, managed GPU inference, no setup.

Step 1 of 5

Submit Job screen — file picker, model selector, and credit estimate
1. Submit a scan. Drag in a NIfTI file or DICOM folder, pick one of the peer-reviewed AI models, and Nalvera shows the exact credit cost before you commit.
Job Queue screen — table of running jobs with live status
2. Watch the queue. Every running and pending job appears here in real time, with model, status, and elapsed time at a glance.
My Results screen — filterable table of completed jobs
3. Browse your results. Filter by model, date, filename, or status; download outputs individually or in bulk.
3-plane viewer — orthogonal slices with segmentation overlay
4. Inspect in the browser. The built-in three-plane viewer overlays the AI segmentation on your original scan and lets you correct it slice-by-slice.
Lab Console — shared credit budget and member management
5. Collaborate as a lab. Share a top-up budget across your team, set per-member spending caps, and audit every job from one console.
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