Solid

Solid starts from a simple premise: enterprise AI is only as strong as the data context behind it.

In the conversation, Yani describes the challenge facing large legacy organizations that want to adopt AI quickly but are working with decades of scattered and highly complex data. Standard models may be powerful, but without the right interpretation layer they can still produce unreliable outputs.

That is the problem Solid is addressing. The company’s platform is built to interpret enterprise data and translate it into a format AI models can understand more accurately. From there, the discussion moves into what it takes to scale adoption, not just by launching one agent, but by helping organizations build and manage growing fleets of agents that can collaborate with one another.

The episode also offers a practical way to think about AI maturity inside the enterprise, through three stages: semantics, context, and memory.