Solid - Analytics Workflow Management

The company's core offering is a platform that automates the creation and maintenance of a semantic layer, or what Solid calls a "context graph." This addresses a common problem in large organizations where data definitions and business logic are fragmented across different systems and teams, leading to inconsistent reports and a lack of trust in AI-generated insights. Solid's platform connects to a company's existing data stack, including data warehouses like Snowflake, Databricks, and BigQuery, as well as BI tools and other applications, without requiring replacement of these systems. By analyzing metadata, queries, and usage history, the platform automatically discovers, documents, and builds business-aware semantic models. This creates a single source of truth for business meaning, ensuring that AI systems, dashboards, and reports are all based on consistent, validated definitions.

Solid's technology is designed to reduce the manual effort typically required to maintain data semantics, which often fail to scale as a business evolves. The platform automatically keeps the context graph updated as data and operations change, applying an engineering-driven approach to ensure definitions remain accurate. This increases the reliability of AI-driven workflows and insights, with the company stating it can improve AI and data accuracy from around 20-30% to over 85%. The platform is aimed at data analysts, data engineers, and business leaders, helping them to deploy AI initiatives more quickly and with greater confidence. The business model is based on a demo-first approach with customized pricing, and the company has worked with clients such as SurveyMonkey to help them scale their AI capabilities.