Auto-generated models aren’t all equal.
In controlled testing, Solid’s auto-generated semantic models delivered 2.5x more accurate results on real business questions - producing SQLs that reflect how your business actually defines and calculates metrics.

Solid feeds your existing semantic layers in different AI and BI tools - with consistent, live, business-aware models and documentation. So, your tools stay always up-to-date, and your answers are aligned.

When benchmarked on real customer models, Solid’s text-to-SQL engine outperformed competitors by 25%. Business questions translate into correct, executable queries more often - even across complex, multi-table logic.
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The real cost of semantic modeling isn’t creation - it’s evaluation and ongoing maintenance.
In large environments with tens of thousands of tables and hundreds of models, Solid’s automation dramatically reduces the time required to create, test, and maintain models year-round - saving substantial operational effort as you scale.





