Cube Dev

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

Cube's API layer connects data modeling, caching, and access controls to applications. Its data APIs connect to various data sources.

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 transform internal decision-making, enhance productivity, and boost 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 fully managed hosting solution for the Cube universal semantic layer, with plans for hosting on the 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. It includes verdicts, a scorecard, and a pilot plan for 2026.

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

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 is an agentic analytics platform built on a semantic layer, offering AI-native business intelligence and embedded analytics.

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