'Semantic Engineering' Firm Solid Opens with $20m Seed

Solid, a firm helping AI agents to understand business context, has publicly launched after two years in stealth mode, with $20 million in seed funding. The money will be used to accelerate product development, expand the team, and support a fast-growing customer base.

Solid says progress in embedding AI into decision-making, analytics and automated workflows is being held up - and confidence in the technology sapped - by the difficulty of providing it with a clear and up-to-date understanding of the business context behind the data it uses. For example, in most large organizations key metrics such as revenue, customer activity and performance are defined differently by different teams and systems, leading to inconsistencies and inaccuracies in AI outputs. Solid's software provides a continually updated semantic layer, aligned with the evolving company, tested and validated, thus removing the need for staff to document and maintain definitions by hand.

Founders Yoni Leitersdorf, CEO (pictured), and Tal Segalov, CTO, predict the growth of a new breed of 'semantic engineers', who will 'define, validate and evolve business meaning in a systematic way,' and be responsible for teaching AI how to correctly interpret data as the business changes.

The funding includes backing from Team8 and SignalFire. Solid works with data platforms including Snowflake, Databricks and BigQuery, and is a partner of SurveyMonkey, whose VP of Data Meenal Iyer states: '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.'

Web site: www.getsolid.ai .