Solid Raises $20M To Fix Enterprise AI's Reliability Problem

February 20, 2026

Solid Raises $20M To Fix Enterprise AI's Reliability Problem

Published: February 20, 2026 at 12:56 AM

Updated: February 20, 2026 at 12:56 AM

100-word summary

New York startup Solid just landed $20 million from Team8 and SignalFire to tackle a major enterprise headache: unreliable AI. The company automates context graphs, essentially creating a single source of truth for what business data actually means. Think of it as a universal translator ensuring AI systems understand your company's language consistently. Founded by repeat entrepreneurs Yoni Leitersdorf and Tal Segalov, Solid integrates with platforms like Snowflake and Databricks, with SurveyMonkey already on board. As enterprises race to deploy AI, having reliable semantic understanding could become the difference between useful tools and expensive failures in production environments.

What happened

New York startup Solid just landed $20 million from Team8 and SignalFire to tackle a major enterprise headache: unreliable AI. The company automates context graphs, essentially creating a single source of truth for what business data actually means. Think of it as a universal translator ensuring AI systems understand your company's language consistently. Founded by repeat entrepreneurs Yoni Leitersdorf and Tal Segalov, Solid integrates with platforms like Snowflake and Databricks, with SurveyMonkey already on board.

Why it matters

As enterprises race to deploy AI, having reliable semantic understanding could become the difference between useful tools and expensive failures in production environments.

Sources