Automation & Insights · Analytics

Ask your data anything. Get answers, not dashboards.

Plain-English questions become SQL, charts, and recommendations. Clinical entity recognition understands ICD-10, SNOMED, LOINC, and RxNorm.

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Natural-language queries · clinical entities · recommendations

See it work

Ask in plain English. See the SQL.

An analytics view where a plain-English question returns a verified interpretation, the result, and the generated SQL.
Ask in plain English and read back the exact SQL it ran. Nothing is a black box.
A dashboard designer where widgets are dragged onto a grid and bound to a metric without code.
Then build the dashboard by dragging widgets and binding a metric, no code, so the people who ask the questions build it themselves.

What it does

Answers, in plain English.

The analytics layer that speaks clinical, not just SQL.

Natural language

Ask which patients missed their A1C and get the answer.

Clinical entities

Understands diabetic patients as the right codes automatically.

Recommendations

Not just charts, but what to do about them.

Part of Automation & Insights

It queries the record clinicians actually work in, so the cohort you find is a cohort you can act on. Nothing has to be exported to be useful.

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Get started

Answers, in plain English.

Ask it something you already know the answer to, and check the SQL it wrote.

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