Spotonix for Looker

LookML defined the metrics.
Spotonix makes them conversational.

Looker pioneered the semantic layer. But LookML is for analysts, not business users. Explores require training. Dashboards can't answer novel questions. Spotonix takes your LookML definitions and makes them accessible to anyone who can ask a question in English.

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The Looker Paradox

The best semantic layer in BI.
And still only 20% adoption.

Explores are for experts

Looker Explores are powerful — but they require understanding dimensions, measures, filters, and relationships. Business users abandon them and ask analysts instead.

Dashboards can't think

Looker dashboards answer anticipated questions beautifully. But the moment someone asks something the dashboard wasn't designed for, the system breaks down.

LookML doesn't compose

LookML defines individual metrics and dimensions. But it can't compose them into novel analyses at runtime, discover related definitions, or learn from how users actually ask questions.

The Upgrade Path

From semantic layer to context graph.

Looker gives you

Governed metric definitions (LookML)
Pre-built Explores for guided analysis
Dashboards for anticipated questions
Single source of truth for metrics

Spotonix adds

Natural language access — no Explore training needed
Runtime composition — novel analyses on the fly
Knowledge discovery — find related definitions automatically
Compounding — every question enriches the context graph

Spotonix doesn't replace Looker. It extends it — from a semantic dictionary into a living analytical language.

“

At Looker we built the semantic layer. Spotonix builds what should have come next — a layer that learns, composes, and compounds.

KR

Keenan Rice

Looker Founding Team

From semantic layer
to context graph.

See how Spotonix extends your Looker investment into a composable, learning system.

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