Solid raises $20 million Seed to bridge the gap between enterprise data and AI
The Israeli startup aims to help large organizations make internal data usable, and trustworthy, for non-technical teams.
Software company Solid has raised $20 million in a Seed funding round. The company develops a platform designed to transform corporate data into an automated infrastructure for implementing artificial intelligence. Solid was founded under Team8’s Venture Creation model, and Team8 led the round alongside U.S.-based fund SignalFire.
The company was founded in 2024 by Yoni Leitersdorf (CEO), previously the founder of ideni, which was acquired, and Tal Segalov (CTO). The two began working together nearly two decades ago during their military service in Unit 8200.
In a conversation with Calcalist, Leitersdorf said that many organizations want to leverage AI using their internal data but face significant barriers.
“Today, many organizations want to use artificial intelligence with their organizational data,” he said. “In sectors like healthcare, companies have vast amounts of data stored in large, often disorganized databases. The people managing day-to-day operations are often not technical and don’t know how to extract insights. When they have a question, they turn to an analyst, and it can take time to get an answer.”
Solid aims to make organizational data directly accessible to non-technical users through AI tools, similar to the conversational interface popularized by ChatGPT. However, Leitersdorf said the central challenge is ensuring accuracy and reliability.
“The problem is the accuracy of the data you can trust,” he said. “We decided to build a mechanism that organizes the data first and validates how AI systems interact with it. We create a highly accurate semantic layer, and on top of that we make organizational data accessible. Delivering that level of accuracy while maintaining strong security is a major challenge.”
Solid focuses primarily on large, established enterprises with decades of accumulated data across multiple databases, including financial institutions. The company is currently in the sales phase. It employs 20 people in Kfar Saba and five in the United States.
“With the capital we raised, we plan to expand our sales team in the U.S., invest further in that market, and grow our R&D team in Israel,” Leitersdorf said. “We are being asked to provide a broad set of capabilities to help clients achieve meaningful results quickly.”
Despite heavy corporate investment in data infrastructure and AI systems, many organizations still struggle with a fundamental disconnect between business data and AI tools. The semantic or business-meaning layer of data often fails to keep pace with organizational changes, leading to inconsistencies in definitions, metrics, and processes across teams.
These gaps create operational barriers that slow AI adoption, erode trust in AI-driven outputs, and limit the ability to generate business value at scale. In practice, AI systems and autonomous agents often struggle to access and interpret enterprise data accurately and quickly, making it difficult to embed them into critical workflows without introducing additional risk.
