Solid Launches with $20M to Make Enterprise AI Reliable
A new enterprise software company, Solid, announced its public launch alongside $20 million in seed funding. The company aims to help organizations adopt and scale AI by automating the creation and maintenance of context graphs. Solid's platform is designed to make enterprise AI more reliable for large-scale deployment.
- The $20 million in seed funding was led by Team8 and SignalFire. Solid was established as part of Team8's venture creation model, which focuses on building companies to address identified problems. - Solid's co-founders, CEO Yoni Leitersdorf and CTO Tal Segalov, are alumni of the Israeli Defense Forces' elite signals intelligence Unit 8200 and began working together nearly two decades ago during their military service. Leitersdorf previously founded Indeni, which was acquired by BlueCat. - The company is addressing the "context crisis" in enterprise AI, where inconsistencies in how business metrics are defined across different teams and tools lead to a lack of trust in AI-generated results. - Solid's platform creates a semantic layer, or context graph, that helps AI understand the relationships and operational reality of an organization's data, moving beyond just the data itself. This is designed to improve AI data accuracy from a baseline of 20-30% to over 85%. - The platform integrates with modern data systems such as Snowflake, Databricks, and BigQuery. Software-as-a-service company SurveyMonkey is a publicly named early adopter of Solid's technology. - The company is currently in its sales phase, employing 20 people in Israel and five in the United States, with plans to use the new funding to expand its U.S. sales team and its R&D team in Israel. - The problem Solid aims to solve is a significant barrier to scaling AI in enterprises, often referred to as the "Data Understanding Gap." This gap leads to issues like AI hallucinations, lack of trust, and slower decision-making. - The concept of a context graph is foundational for enterprise AI, as it provides the necessary governance and operational context for AI agents to perform tasks accurately and reliably within complex business environments.