Solid Launches with $20M to Improve Enterprise AI Reliability
A new enterprise software company named Solid has launched with $20 million in seed funding. The company aims to make enterprise AI more reliable at scale by automating the creation and maintenance of 'context graphs'. The platform is designed to help organizations adopt and scale their AI initiatives.
- The company was co-founded by CEO Yoni Leitersdorf and CTO Tal Segalov, who both served in the Israeli Defense Forces' elite signals intelligence unit, Unit 8200. - Leitersdorf is a serial entrepreneur who previously founded Indeni, a network automation company that was acquired by BlueCat. - The $20 million seed funding round was led by Team8, an Israeli venture fund, and SignalFire, a US-based firm that utilizes an in-house AI platform for its investment decisions. - Solid's "context graph" approach evolves standard Retrieval-Augmented Generation (RAG) by creating a structured, relational understanding of data, which allows for more complex, multi-hop reasoning compared to retrieving isolated text chunks from vector databases. - The company is pioneering a discipline it calls "Semantic Engineering," which reframes the role of data analysts towards systematically defining and validating business logic for AI consumption. - Solid claims its platform can boost the accuracy of AI-generated answers from a baseline of 20-30% to over 85%, while cutting the manual effort for maintaining semantic models by up to 70%. - The technology is designed to integrate with existing enterprise data platforms like Snowflake, Databricks, and BigQuery, acting as a semantic layer before the AI or BI system. - An early adopter of Solid's platform is SurveyMonkey, whose VP of Data highlighted its ability to keep data definitions aligned as the business and its data evolve.
