Agentic platform with modular AI tools and a governed semantic layer for any data stack
Every company, when evaluating new tools, technologies, or infrastructure, eventually runs into the same question: “Should we build this ourselves or buy a ready-made solution?” The default answer is often: “We can do it ourselves.” And technically, that’s true. But the real question isn’t …
There are several ways to connect an AI agent to your data. Each approach solves a different problem and comes with its own trade-offs, what you’re really choosing between is speed and reliability. In this post, we’ll explore how to balance the two to get the best results for your team and use case.…
Last week, in the first part of this series, we explained why two analysts can produce two different answers from the same data, and why that problem gets worse with AI agents. Without a shared semantic layer defining metrics and business logic, AI will generate answers faster, but not more reliably…
Picture a typical workday. You’re in a meeting. Someone asks the typical question: “So, how was revenue last month?” You pull up your dashboard and respond, “Looks like we’re up 5%.” The CFO then opens his laptop, checks his numbers, and says, “Well, from what I’m seeing, we’re down 2%.” …
