Solid, an enterprise software company focused on improving the reliability of artificial intelligence systems, announced its public launch alongside $20 million in seed funding. The round includes backing from Team8 and SignalFire and will be used to accelerate enterprise adoption of trustworthy AI by reducing the manual effort required to maintain consistent business meaning in data.
As organizations push to embed AI into decision-making, analytics, and automated workflows, many are confronting a core challenge: AI systems cannot generate reliable outputs unless they fully understand the business context behind the data they access. In large enterprises, key metrics such as revenue, customer activity, and performance are often defined differently across teams and platforms. These inconsistencies can result in conflicting reports, delayed decisions, and AI-generated insights that users struggle to trust.
Traditional data infrastructure platforms are designed to store, process, and query data, but they do not ensure that the meaning of the data, often referred to as semantics, remains aligned as companies evolve. Historically, enterprises have attempted to address this gap through manual documentation and upkeep of definitions. While manageable in limited cases, this approach does not scale with the speed and complexity of modern businesses. As organizations change, definitions drift, validation is limited, and the maintenance burden slows AI adoption.
Solid aims to address this scalability issue by creating a single source of truth for business meaning and automating its creation, testing, and maintenance over time. The platform builds and continuously updates what it calls a context graph, applying an engineering-driven approach to semantics so definitions remain accurate and validated as data and operations evolve. By providing a consistent foundation for AI systems, analytics tools, and internal teams, Solid seeks to reduce the operational overhead of supporting AI while improving the reliability of AI-driven insights and workflows.
The company was founded by Yoni Leitersdorf, CEO, and Tal Segalov, CTO, both second-time founders with experience building and scaling enterprise data platforms. They launched Solid after observing how misaligned data definitions erode trust in analytics and AI initiatives.
Solid’s founders argue that the rise of AI will create a new enterprise discipline they call Semantic Engineering. As AI systems become more capable of retrieving and analyzing data, organizations will increasingly need dedicated expertise to define, validate, and evolve business meaning systematically. These Semantic Engineers would focus on teaching AI systems how to correctly interpret data as business conditions change, with today’s data analysts well-positioned to transition into the role as automation reduces manual analytics work.
The company is already working with customers, including SurveyMonkey. The newly raised capital will support continued product development, team expansion, and growing enterprise demand.
KEY QUOTES:
“Enterprises are looking to adopt AI, but are struggling due to the lack of consistent business definitions. Historically these definitions have been manual, brittle, and impossible to maintain at scale. 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 GenAI with their own internal data.”
Ryan Wexler, Principal at SignalFire
“Every enterprise is racing to embed AI, but most are stuck. AI solutions don’t just work; they need to be enabled to perform, meaning delivering the right context at the right time. Solid tackles this challenge head-on with a bold, category-defining approach: a dynamic semantic layer built for AI. It’s the missing piece that unlocks AI’s real potential inside the enterprise. In a world where trust, speed, and autonomy are make-or-break for AI, Solid is years ahead.”
Aviad Harell, Managing Partner at Team8
“As we expand AI across SurveyMonkey, trust in our data is non-negotiable. AI moves fast, but without a shared and reliable understanding of business logic, it breaks just as quickly. 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.”
Meenal Iyer, VP of Data at SurveyMonkey
“Companies have tried to solve this problem manually for years, and it always breaks at scale. Solid automates the majority of the work required to define and maintain business meaning – expressed as a continuously updated context graph – and applies the same rigor you’d expect from production software. That’s what allows AI to operate reliably as businesses change.”
Yoni Leitersdorf, CEO and Co-Founder of Solid
