Solid Launches With $20M to Make Enterprise AI Reliable
A new enterprise software company, Solid, has launched with $20 million in seed funding to improve the reliability of enterprise AI. The company's platform automates the creation and maintenance of context graphs, aiming to help large organizations adopt and scale AI applications more effectively.
- The company was founded in 2024 by CEO Yoni Leitersdorf, a repeat founder who sold his previous company Indeni to BlueCat, and CTO Tal Segalov; both are alumni of Unit 8200, the Israeli Defense Forces' elite signals intelligence unit. - The $20 million seed round was co-led by Israeli venture firm Team8, which helped create the company under its venture creation model, and U.S.-based SignalFire, which reportedly pushed to increase the size of the investment. - Solid claims its platform can increase the accuracy of AI responses on enterprise data from a baseline of 20-30% to over 85%, while reducing the manual effort for data teams to maintain semantic models by 50-70%. - The company's technology builds a "context graph," which enhances a traditional knowledge graph by adding operational metadata, governance rules, and lineage to capture how data flows and how decisions are made. - Solid is entering the AI and machine learning operationalization (MLOps) software market, which was valued at over $2.3 billion in 2024 for the solutions segment alone and is seeing rapid growth as enterprises struggle with model reliability. - The company's pricing model is based on data processing and the volume of questions asked, rather than the traditional SaaS per-seat model, aligning costs with AI usage. - Solid reports that its platform can shorten deployment timelines for new AI systems from one to two years down to six months or less and has publicly named SurveyMonkey as an early customer.
