Auto-generated models aren’t all equal.
In a side-by-side evaluation using the same data and business questions, Solid’s auto-generated models delivered 2.5x more accurate results than the competition - 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 semantic models and documentation. So, your tools stay always up-to-date, and your answers are aligned.

When benchmarked on real customer semantic 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 semantic models year-round - saving substantial operational effort as you scale.





