Microsoft IQ and Rayfin target the AI silo problem at Build 2026

Microsoft is trying to fix a problem that every enterprise AI team is bumping into: agents keep showing up with amnesia, then leaving behind another pile of disconnected data. At Build 2026, the company said it is addressing both the context problem and the application sprawl problem with Microsoft IQ and Rayfin. The timing matters because, according to VentureBeat's VB Pulse Q1 2026 RAG Infrastructure Market Tracker, hybrid retrieval intent among organizations with 100-plus employees tripled from 10.3% in January to 33.3% in March. In plain English, enterprises are no longer just asking how to expand retrieval augmented generation coverage. They are now asking what architecture sits underneath it, who governs it, and how it avoids becoming a mess of isolated systems.

That is the business problem Microsoft is targeting. Shared context is what retrieval alone does not solve. If an agent can find a document but does not understand the company, the rules, the data relationships, or the live state of the business, it is still operating blind. Microsoft is expanding Fabric IQ, its existing business data context layer, into Microsoft IQ, a broader unified system that adds three additional context sources covering how the organization works, what it knows, and real-time global signals from the web. The pitch is that a developer should be able to connect a new agent to all four sources in a single integration step, instead of stitching together a patchwork of tools every time a team wants to stand up something new.

The four layers matter because they map to the way enterprises actually run. Work IQ captures day-to-day operating reality using email, documents, meetings, and schedules so agents can understand people, teams, and workflows. Foundry IQ curates and indexes knowledge bases so agents understand the organization’s rules and procedures. Fabric IQ models the live operational state of the business through data, defining entities, relationships, and business rules grounded in real-time signals from Fabric Real-Time Intelligence. Microsoft said ontologies, the layer that captures that operational context, are expected to reach general availability in the coming months. Web IQ adds current global context from the web, giving agents a view of what is happening outside the company alongside internal data. Amir Netz, CTO of Microsoft Fabric, framed the point sharply: "Our job in the world of data is creating reality for agents based on data," he told VentureBeat. He also said, "The agents are going to become highly informed virtual employees. That's where the world is heading."

Rayfin tackles the second half of the mess: what happens when agents start building apps faster than humans can govern them. Every new application still needs a backend, and if agentic coding tools spin up apps on their own, each one can become a fresh silo outside the data layer. Rayfin is Microsoft’s answer to that. It is a new open-source SDK and CLI that deploys agent-built applications directly to Fabric as a governed production backend. That means application data lands in Microsoft OneLake by default and feeds back into the Microsoft IQ context layer instead of drifting off into its own isolated stack. Microsoft is positioning Rayfin against Supabase and Neon, the Postgres-compatible backends that agentic coding tools typically default to. The differentiator, as Microsoft tells it, is governance. Instead of letting an app fleet fan out into disconnected databases and compliance headaches, Rayfin routes it through Fabric’s unified data and compliance layer.

Netz described the setup as bidirectional, which is the most interesting part of the architecture story. The agent building a Rayfin application draws from the organization’s ontology, meaning it learns from the shared business context already in the system. Then the data that application generates enriches that ontology for the next agent. That loop is the kind of thing enterprise software vendors love to describe because it sounds elegant, and in this case it is also strategically important. If it works, Microsoft is not just selling a retrieval layer or a database or an app backend. It is trying to become the operating context for a whole class of agents and the production destination for the apps they create.

Microsoft is not alone in this race, which is a useful warning sign for anyone pretending this is settled. Snowflake announced its own context capabilities this week with semantic capabilities. Pinecone has Nexus, which expands the vector database into a knowledge engine. Redis has developed Iris, its context and memory platform. That is a signal the market has moved beyond whether models are available or whether RAG exists at all. The question now is whether the platform can actually make enterprise AI trustworthy, governable, and scalable without adding yet another layer of complexity. Robert Kramer, managing partner at KramerERP, put it this way: "Fabric IQ and Rayfin are important because the enterprise AI challenge is no longer just about the model availability," he told VentureBeat. "The real question is whether Microsoft simplifies execution and strengthens trust or adds another layer to an already complex environment."

For executives, that is the whole game. If your organization is deploying more agents, more AI-generated apps, or more retrieval systems, the risk is no longer just bad answers. It is a growing stack of hidden dependencies, duplicated logic, and data that never quite makes it back into the company’s governed systems. Microsoft is betting that enterprises want one context layer, one governed backend path, and one place for those systems to learn from each other. Competitors are clearly chasing the same prize. The open question is whether any platform can become the default spine for agentic software before the silos multiply faster than the controls can catch up.