Solid helps enterprises use AI reliably on their own data. While organizations invest heavily in AI, most struggle to move beyond pilots because AI lacks a clear understanding of what enterprise data actually means. Business definitions and rules are fragmented across tools and teams, leading to inconsistent answers and fragile automation.

Solid closes this Data Understanding Gap by giving AI a trusted, continuously updated understanding of enterprise data. The platform automatically generates, tests, and maintains the semantic models AI systems need to safely interpret and use enterprise data — working alongside existing data platforms, BI tools, and AI systems rather than replacing them. As AI becomes more operational, Solid’s founders believe this shift creates a new enterprise role — the Semantic Engineer — building naturally on the work of today’s data analysts, focused on defining and evolving business meaning so AI stays aligned as the business changes.