Israeli entrepreneurs launched an AI system to address the “context crisis” in AI enterprise adoption, designed to ensure that artificial intelligence models can reliably understand and operate on their data.
Solid, a new enterprise software company founded by Yoni Leitersdorf (CEO) and Tal Segalov (CTO), announced on Wednesday that it had raised $20 million in seed funding to solve one of the current limitations companies find when adapting their systems to an AI platform: data inconsistency.
“In most large organizations, key metrics such as revenue, customer activity, or performance are defined differently across teams and tools,” they explained and added, “These inconsistencies lead to conflicting reports, slow decision-making, and AI-generated answers that teams struggle to trust.”
According to Solid, AI systems today only store and read the data given to them, without analyzing its meaning. Because data consistency is highly manual, most large modern companies struggle to achieve it day-to-day.
The company developed an AI-powered data intelligence platform that automatically discovers, documents, and builds business-aware semantic models from your company’s existing data, queries, and tools.
Revolutionizing data engineering
According to Leitersdorf and Segalov, Solid is building the foundations of “Semantics Engineering,” which they call the future discipline of dedicated engineers focused on systematically defining, validating, and evolving business meaning.
“These Semantic Engineers will be responsible for teaching AI how to correctly interpret data as the business changes. Today’s data analysts are well-positioned to evolve into this role, as automation increasingly handles the manual aspects of analytics and frees teams to focus on higher-level business understanding,” they explained.
“Solid is creating the context graph that can be understood by data scientists, data engineers, and AI agents alike. With this shared context graph, enterprises will be able to harness Generative AI with their own internal data,” said Ryan Wexler, Principal at SignalFire, one of the two main seed investors of Solid alongside Team8.
“Solid is the missing piece that unlocks AI’s real potential inside the enterprise,” assured Aviad Harell, Managing Partner at Team8.
Currently, Solid’s solution can be implemented alongside modern data platforms, including Snowflake, Databricks, and BigQuery.
During a partnership with SurveyMonkey, a software-as-a-service company that provides online survey and forms tools, Meenal Iyer, VP of data at SurveyMonkey, said, “Solid has given us a strong foundation where definitions stay aligned as our data and business evolve, so AI can deliver answers and power workflows we can actually trust.”