Natural-Language Query

Natural-language query, explained

Natural-language query in Analytify: ask questions in plain English and get governed dashboards, SQL, and written answers on a trusted semantic layer.

Governed semantic layer Plain-English answers Embed & self-host
Overview

What natural-language query means for your team

Natural-language query is core to how Analytify works — an AI analyst on top of governed data your whole team can use.

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Ask in plain English

Type a business question; get the chart, the SQL, and a written explanation.

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Governed & trusted

Answers are grounded in a central semantic layer, not guesses.

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Embed anywhere

Put governed analytics inside your product, multi-tenant and white-labeled.

FAQ

Frequently asked questions

What is natural-language query?+
Natural-language query is an approach to analytics where AI turns plain-language questions into governed dashboards, SQL, and narratives, grounded in a trusted semantic layer.
How does Analytify do natural-language query?+
Analytify reads your governed semantic layer, generates the query and visualization, and shows the SQL so results are auditable.
Is it accurate?+
Accuracy depends on a well-defined semantic layer. When metrics and joins are governed centrally, Analytify grounds answers in those definitions and shows the SQL.
Can I embed or self-host it?+
Yes — embed governed analytics in your product, and self-host via the free Community Edition or run Analytify Cloud.

See natural-language query in action

Book a 15-minute walkthrough on your data, then talk architecture and pricing.

Natural-Language Query (NLQ) for analytics

By the Analytify BI team · Last updated August 2026

NLQ turns a plain-language question into a governed query, chart and answer, with no SQL or drag-and-drop required.

It opens data to everyone, but naive NLQ against raw tables is unreliable; grounding in defined metrics is what makes it trustworthy.

What to evaluate

  • A governed semantic layer behind the NLQ
  • Visible SQL for auditability
  • Handling of ambiguous questions
  • Access control on every query

How Analytify approaches it

Analytify GenieAIQ runs NLQ on a governed semantic layer and shows the SQL, so results are both accessible and auditable.

Because Analytify runs on a governed semantic layer and ships as both managed cloud and a free, self-hostable Community Edition, you get plain-English AI analysis, native white-label embedding with row-level security, and per-user pricing with unlimited embedded viewers, without giving up governance or control.

FAQ

What is NLQ?

Natural-language query, asking data questions in plain English and getting a governed answer back.

Why do some NLQ tools give wrong answers?

Because they guess at raw schemas. Grounding in a governed semantic layer fixes that.

How does Analytify handle it?

Analytify GenieAIQ runs NLQ on a governed semantic layer and shows the SQL, so results are both accessible and auditable.