Getting started
Sign in
Open the workspace URL in your welcome email and sign in with the
owner credentials your account manager sent you. Invited
teammates receive an Accept Invite email that sets their
password and drops them straight into the workspace.
Set workspace defaults
Open Settings, General to set your workspace name and
timezone. The timezone controls how schedules and audit
timestamps render across the app.
Connect a data source
Open Settings, Integrations and connect at least one source
you plan to scan. The supported list lives on the
Integrations page.
Create a project, upload a dataset, scan it
Projects organise everything. From there, upload a dataset and
launch a scan from the dataset detail page. The
Quickstart walks the full first run.
Core concepts
| Concept | What it means |
|---|---|
| Project | Workspace container. Holds datasets, scan history, report templates, integration settings, schedules. |
| Dataset | The actual data being analyzed: image folder, NIfTI volume, text corpus, detection set. |
| Scan | A single run of one engine against one dataset version. Produces results, artifacts, and a severity. |
| Result | A per‑item finding produced by a scan (one image, one paragraph, one case). |
| Healing | The remediation phase. Produces a cured copy of the dataset with the bad samples fixed or removed. |
| Branch | A virtual version of a dataset, driven by a manifest CSV. Lets you compare and iterate without copying. |
| Report | A generated document (PDF / HTML / JSON) describing findings, optionally in a compliance format. |
| Severity | A four‑level rollup: HEALTHY, UNHEALTHY−, UNHEALTHY+, CRITICAL. |
The severity scale
Every engine rolls up to the same four‑level scale so dashboards, reports, and the audit trail stay consistent.| Label | When you’ll see it |
|---|---|
| HEALTHY | No issues found. Dataset is safe to use as is. |
| UNHEALTHY− | A small number of issues (typically < 15% of samples). Review before training. |
| UNHEALTHY+ | Significant problems (15–50%). Training on this data is risky. |
| CRITICAL | Majority of samples flagged (≥ 50%) or severe leakage / poisoning. Do not train. |
Where to next
Projects
Organize datasets, schedules, and report templates by team or
initiative.
Datasets
Upload, branch, version, and explore your data.
Running scans
Launch a scan, monitor progress, and triage results.
Engines
The seven scanning engines and what each one finds.