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The organisation's cockpit.

Ask

Ask in plain English.

See across every app

Because one layer already runs your operations, it already holds your unified, cross-app data. So you get analytics for free.

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Act I · build it

Five blocks. Any answer.

Ask in plain English. Drop the result onto a dashboard.

Act II · the blocks

What you can drop

  • Summary

    A plain-language rollup, written by an Analytics AI Agent.

  • Table

    The underlying rows.

  • KPI

    A single tracked number, with target and trend.

  • Chart

    The right visualization for the question.

  • Insight

    An AI Agent's answer to why the numbers moved.

Act III · the agents

Analytics AI Agents

They answer your questions and write the Summary and Insight blocks — an analyst's explanation, not just a chart.

Workers act; analytics agents explain.

Act IV · industry-aware

Industry-aware out of the box

Dashboards and KPIs come tuned to your industry as industry analytics packs, then AI tailors them to your actual connected data. Not a blank canvas.

Act V · org-wide

The operating cockpit of the company

Share dashboards org-wide, governed so each viewer sees only the data their role permits — block-level data-RBAC.

Act VI · close the loop

See, then act

Attach a workflow to a KPI or Insight — when it breaches, run the governed save-play. A dashboard that does something, not just reports.

end credits

Your first dashboard in minutes

No data team. No BI license.