Infrasights

  Overview For thirty years the enterprise data platform has been a place you go to look things up . The Agentic Data Cloud reframes it as a place where work actually gets done — autonomously, in real time, by software agents acting on your behalf. In April 2026, Andi Gutmans (VP/GM, Data Cloud at Google Cloud) published a piece arguing that the arrival of capable AI agents breaks a foundational assumption of every data warehouse, lake, and lakehouse built to date: that a human sits at the end of the query, reads the answer, and decides what to do. This post is an architectural read of that thesis — what the Agentic Data Cloud is, why legacy stacks structurally fail at agent scale, and how the four-layer design closes the gap between thinking and doing. The framing matters because it is not a feature announcement. It is a claim that the shape of the platform has to change. We will treat it the way we treat any architecture on this blog: diagram the moving parts, interrogate the ...

Overview Meridian Lite is a purpose-built demonstration of multi-agentic AI capabilities, deployed in the context of UK mergers and acquisitions intelligence. It coordinates a hierarchy of six AI specialists — each with distinct tools and domain expertise — to evaluate acquisition targets, assess market dynamics, and synthesise deal recommendations from private in-house and live public data. The Lite designation is deliberate. This build strips away third-party data overhead and SaaS complexity, isolating the core agentic patterns — specialist  agent orchestration  routing, function tool-calling, session state sharing ,  and resilient failover — in a form that is legible, testable, and safe to demonstrate. The underlying infrastructure is production-grade:  hardened access control , security, token budgeting, and session persistence. The data coverage is intentionally constrained. Objectives - Multi-agent orchestration with intelligent specialist routing:   a ro...