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CollabKare AI overview

CollabKare AI is the platform's workspace for machine-learning experiments on healthcare data — a place to manage datasets, run model experiments, and organize AI projects. The app is currently a preview: the screens are in place and you can explore them, but they display sample content rather than your organization's data, and actions such as launching experiments are not yet connected to a live modeling engine.

What you see today​

After signing in, the left menu offers four areas:

  • Dashboard — a metrics landing page with sample tiles and charts (budget, activity, and progress-style widgets used as placeholders).
  • Datasets — a table of datasets with name, date, size, rows, and columns, plus row actions and paging controls. The entries shown are examples.
  • Experiments — a list of model experiments with an experiment-setup screen (data split, expert settings, launch, and summary views) laid out for the full workflow.
  • Projects — cards for organizing related datasets and experiments, with a simple filter and an add-project form. Items added here are not saved between visits.

Who it is for​

CollabKare AI is aimed at analytics and data-science staff working under your organization's governance. Because the app is in preview, access is typically limited to administrator-level roles; ask your administrator whether it is enabled for your organization.

What to do now​

Feel free to explore the screens to understand the intended workflow — dataset intake, experiment setup, and project organization — but do not rely on anything shown as real data, and do not expect launched experiments to produce results yet. Task-by-task guides will be added to this section once the modeling backend is connected and the flows are live.