Solid helps enterprises make AI reliable at scale by giving AI a trusted understanding of how their business data actually works.

As companies race to embed AI into decision-making, workflows, and automation, they hit a hard limit: AI can’t deliver value unless it understands the data behind it - what the numbers mean, which definitions to trust, and which rules apply.

In most enterprises, that understanding is fragmented across dashboards, SQL, documentation, and teams. Definitions drift. Metrics evolve. Business logic lives in too many places. The result? AI gives confident but inconsistent answers, workflows break, and data teams become the bottleneck.

Solid closes this Data Understanding Gap.

Our platform automatically generates, tests, and maintains the business logic AI depends on - creating a single, continuously updated source of truth that works across your existing data platforms, BI tools, and AI systems.

The impact is measurable:

• Accuracy: Without Solid, AI + data accuracy typically ranges from 20-30%. With Solid, accuracy improves to 85%+.
• Effort: Solid reduces the manual work required to maintain and test semantic models by 50-70%.
• Time to Value: Solid shortens AI + data initiatives by 4x - reducing timelines from 1-2 years to just 3-6 months.

With Solid, enterprises can enable trustworthy chat-with-your-data experiences, power AI-driven workflows that don’t break as logic changes, and support AI agents that can reason and act safely.

The result: AI that teams can actually trust - delivering consistent answers, scalable automation, and real business impact.

Learn more at getsolid.ai.

Solid (AI for Data)

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