Solid Launches With $20M to Improve Enterprise AI Reliability
A new enterprise software company, Solid, has launched with $20 million in seed funding to make AI more reliable and context-aware. The company aims to automate the creation and maintenance of context graphs, addressing a key challenge for businesses deploying AI applications at scale.
- The $20 million seed round was led by Team8, a venture group that builds companies to solve enterprise technology challenges, and SignalFire. The company was founded by CEO Yoni Leitersdorf and CTO Tal Segalov, both repeat entrepreneurs and alumni of the Israeli Defense Forces' elite intelligence Unit 8200. - Solid's platform claims to increase the accuracy of AI-generated answers from a baseline of 20-30% to over 85%. It also reports reducing the manual effort required by data teams to maintain and test business logic definitions by 50-70%. - The company is targeting large enterprises with complex and distributed data systems, naming SurveyMonkey as an early customer. Initial target sectors include data-heavy industries like finance and healthcare. - Solid is creating a new discipline it calls "Semantic Engineering," which treats the business meaning of data as a production software system rather than a manual documentation process. - The core problem Solid addresses is the "Data Understanding Gap," where AI models produce unreliable results because business metrics like "revenue" or "customer activity" are defined inconsistently across different teams, tools, and databases. - Instead of a traditional per-seat SaaS fee, Solid's pricing model is based on consumption, charging customers based on the number of questions the AI asks and the volume of data it processes. - The funding is earmarked for accelerating product development, growing its R&D team in Israel, and expanding its sales team in the United States.
