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The page explains how the AI context layer provides governed context for AI agents, differs from a semantic layer, and connects to agents over MCP.

Cube's semantic layer supports work with billion-row datasets and subsecond responses while orchestrating caching upstream of data apps.

It’s been a wild year for the semantic layer. Years from now when folks reflect on 2023, I’m convinced that it will be dubbed as the year it all began.

The page describes how embedded analytics can affect internal decision-making, productivity, and ROI.

Examine the different ways to create seamless embedded experiences that cater to different business and technical requirements

Engineering and product writing from the team building Cube, the agentic analytics platform built on a semantic layer.

Cube Cloud is a managed hosting solution for the Cube universal semantic layer, with plans for hosting on a cloud of the customer's choice.

Alternatives to the dbt Semantic Layer in 2026 — Cube Core, AtScale, LookML, and warehouse-native layers — with a capability matrix and how to choose.

The page compares six Looker alternatives using a semantic-layer test of whether AI agents can query governed metrics, with verdicts, a scorecard, and a 2026 pilot plan.

Power BI alternatives for 2026, scored on the semantic-layer test: one governed model for BI, embedded analytics, and AI agents. Scorecard included.

The best Tableau alternative in 2026 is Cube. Six alternatives scored on the governed-metrics test, with a scorecard, tradeoffs, and a pilot plan.

Cube is an agentic analytics platform built on a semantic layer. The page introduces the team, technology partners, and investors behind Cube Core and Cube Cloud.

Cube offers an agentic analytics platform built on a semantic layer, with AI-native business intelligence and embedded analytics.