View From the Top by Suresh Srinivas CEO
There’s an underlying crisis undermining enterprise AI adoption—but it has nothing to do with AI models and everything to do with meaning.
AI agents have no inherent understanding of what your data means. “Revenue,” “active customer,” “regional sales”—these terms mean something specific inside your company, and something different at other companies. Without that context baked in, agents guess. And they guess wrong in ways that are hard to catch until the damage is done.
The data isn’t the problem. Enterprises have plenty of it. What’s missing is shared meaning—a context layer that tells agents not just where data lives, but what it actually refers to. That gap is what makes enterprise AI so brittle in practice.
That’s what Collate is built to fix. Collate models business concepts, relationships, metadata, and policies in a unified semantic graph, so agents and people are working from the same definitions. Built on OpenMetadata—the open-source AI context layer used by thousands of enterprises—it gives
agents the context they need to act accurately without constant human supervision. On that foundation, Collate also deploys AI agents that provide chat-based analytics and handle data quality, governance, classification, and observability at scale, without adding headcount.
The model isn’t the bottleneck. The meaning layer is. Fix that first.
Collate Inc.
https://www.getcollate.io