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Solid Launches with $20 Million Seed Funding to Ensure Reliable AI for Enterprises

Solid, an innovative enterprise software company, has made headlines by officially launching alongside a robust $20 million in seed funding. This strategic investment is aimed at helping organizations navigate the complexities of artificial intelligence (AI) so that it can reliably interpret and act upon their data. The funding, which includes contributions from notable investors Team8 and SignalFire, is set to help enterprises eliminate the manual efforts required to maintain clarity and consistency in data interpretation.

As businesses increasingly integrate AI into their core decision-making processes, such as analytics and automated workflows, they often hit a wall: the inability of AI to deliver reliable insights without a clear understanding of the business context behind the data it analyzes. In many large organizations, crucial metrics like revenue, customer engagement, and overall performance can be defined inconsistently across various departments and tools. These discrepancies can lead to inconsistent reporting, slowed decision-making, and AI-generated insights that teams find difficult to trust.

Traditional data infrastructure solutions fall short of catering to the evolving needs of enterprises in today’s AI-driven landscape. While such solutions are designed to store and process data, they do not ensure that the semantics—or the meanings associated with the data—remain consistent as organizations change. Historically, companies have attempted to tackle these issues through labor-intensive manual processes, attempting to document and keep definitions up-to-date. While this approach may work in limited circumstances, it is not scalable to match the complexities of modern enterprises.

To address this scalability issue, Solid’s platform is designed to create a single source of truth for business definitions and automate their creation, testing, and maintenance over time. By avoiding the constant manual upkeep usually involved in maintaining data semantics, Solid’s approach provides enterprises with accurate, validated, and continuously updated definitions in alignment with changing data and operations. This not only promises to ease the workload for teams but significantly enhances the reliability of AI-driven insights and workflows.

The founders of Solid see the development of what they term a new discipline within enterprises: Semantic Engineering. As AI grows increasingly capable of analyzing and pulling data, organizations will require specialized expertise dedicated to systematically defining, validating, and progressing business meanings. Semantic Engineers will play a crucial role in teaching AI how to interpret data correctly as businesses continue to evolve.

Solid was co-founded by Yoni Leitersdorf, the company’s CEO, and Tal Segalov, its CTO. Both founders bring a wealth of experience from their previous ventures. They recognized the damaging effects of misaligned data definitions on trust in analytics and AI, prompting the creation of a foundational tool that helps organizations leverage AI without sacrificing alignment.

Ryan Wexler, Principal at SignalFire, emphasized the pressing challenge that Solid is addressing: “Enterprises are eager to adopt AI, yet face hurdles due to inconsistent business definitions. Solid is constructing a context graph that is understandable for data scientists, engineers, and AI agents. This unified context is what enables organizations to leverage generative AI with their internal data effectively.”

According to Aviad Harell, Managing Partner at Team8, “Every enterprise is rushing to implement AI solutions, but many are stalled by the need for contextual reliability when using data. Solid is addressing this critical need with a groundbreaking approach—a dynamic semantic layer built specifically for AI. This is the missing component that reveals AI’s actual potential in an enterprise setting.”

One company that has already recognized the importance of such solutions is SurveyMonkey. Meenal Iyer, VP of Data, shared insights: “As we broaden our use of AI at SurveyMonkey, our trust in data is imperative. AI needs to be enabled to perform effectively, which means having a reliable understanding of business logic. Solid has provided us with a robust foundation, ensuring that definitions remain aligned even as our business and data evolve.”

Yoni Leitersdorf highlighted the ongoing challenges companies face: “Organizations have grappled with this problem manually for years, often leading to breakdowns at scale. With Solid, we automate the majority of the process required to define and maintain business meanings, expressed as a continuously evolving context graph. Our approach upholds the consistency and rigor expected from production software, enabling AI to function reliably as businesses grow.”

The funding Solid has secured positions the company to expedite product development, widen its team, and support its rapidly expanding clientele. Solid’s mission is clear: empower organizations to scale their AI capabilities without compromising reliability, consistency, or alignment as their operations and data continue to evolve.

For additional insights into Solid’s collaboration with SurveyMonkey, you can access the detailed case study available on their website.

About Solid

Solid provides enterprises with the tools to make their AI and analytics processes dependable by ensuring a single shared understanding of their data. As organizations expand, inconsistencies in definitions, diverging reports, and fragmented business logic can undermine trust in metrics. Solid addresses this challenge by automating the capture of a company’s data usage and understanding while keeping this information up to date as businesses evolve. This enables seamless access to reliable AI systems and analytics across the organization. Solid integrates seamlessly with contemporary data platforms such as Snowflake, Databricks, and BigQuery.

Learn more at getsolid.ai.