Dashboards that carry their own quality state.

Charts, dashboards, embeds and alerts — built over governed measures, on the same substrate as ingestion. A published number arrives with the health of the data behind it, so a stakeholder sees whether it can be trusted, not just what it says.

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A builder over measures, not a chart wizard.

Pick an axis, apply a governed measure, generate. The builder reads the same catalog as everything else, so “net revenue” in your chart is the catalog's net revenue — with retention and conversion measures available where a plain aggregate isn't enough.

A line chart of weekly net revenue, built from the governed Net Revenue measure over the orders dataset — A LINE CHART OF WEEKLY NET REVENUE, BUILT FROM THE GOVERNED NET REVENUE MEASURE OVER THE ORDERS DATASET

The chart draws its own forecast.

Any chart can carry a trendline and an ML overlay — a forecast continuing the series, anomaly flags on outliers, a regression, or k-means grouping on a scatter — computed by the platform's own ML engine at render time, on the same governed data. In a BI tool this is an export to a notebook; here it is a toggle on the chart.

The daily revenue area chart across its green, amber and red goal bands, with a dashed trendline and a three-week ML forecast drawn beyond the series — THE DAILY REVENUE AREA CHART ACROSS ITS GREEN, AMBER AND RED GOAL BANDS, WITH A DASHED TRENDLINE AND A THREE-WEEK ML FORECAST DRAWN BEYOND THE SERIES

Anomaly overlay on the weekly churn-risk series: the drift-lifted recent weeks flagged as outliers — ANOMALY OVERLAY ON THE WEEKLY CHURN-RISK SERIES: THE DRIFT-LIFTED RECENT WEEKS FLAGGED AS OUTLIERS

K-means grouping overlay on an iris petal scatter, recovering the three species clusters — K-MEANS GROUPING OVERLAY ON AN IRIS PETAL SCATTER, RECOVERING THE THREE SPECIES CLUSTERS

Composed once, read everywhere.

Dashboards are compositions of saved charts — KPIs, trends, breakdowns and tables on one grid, refreshed on their own schedule. Because the substrate is shared, the dashboard a VP reads and the SQL an analyst runs cannot quietly disagree.

The Revenue Overview dashboard: four KPIs with week-over-week deltas, daily revenue across its goal bands with a forecast, revenue by region, orders, and revenue by product — THE REVENUE OVERVIEW DASHBOARD: FOUR KPIS WITH WEEK-OVER-WEEK DELTAS, DAILY REVENUE ACROSS ITS GOAL BANDS WITH A FORECAST, REVENUE BY REGION, ORDERS, AND REVENUE BY PRODUCT

White-label, outside your walls.

Any chart or dashboard becomes an embed: tokenised per viewer, row-scoped by the same permission model that governs the workspace, domain-locked, and stripped of product chrome. Your customers see their numbers and your brand — nothing else.

The Revenue Overview dashboard served as a white-label embed — no product chrome, just the numbers — THE REVENUE OVERVIEW DASHBOARD SERVED AS A WHITE-LABEL EMBED — NO PRODUCT CHROME, JUST THE NUMBERS

The dashboard tells you, not the other way round.

Put a threshold on any saved chart and get told — in the app, in Slack or by email — the moment the number crosses it. Checks run on their own schedule, record what they saw, and recover cleanly when the number comes back.

Four alert rules on saved charts, each with its condition, last value and an ok state — FOUR ALERT RULES ON SAVED CHARTS, EACH WITH ITS CONDITION, LAST VALUE AND AN OK STATE

Where this line interchanges.

From CSV to defensible dashboard, today.

Upload a file, build a chart on a governed measure, and share a dashboard whose numbers you can stand behind.

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