Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses AI to automate data analytics tasks. With D3, Cube says, it can scale up the productivity of business workers and enable them to explore data independently, without needing to seek help from data professionals first. The platform introduces the concept of “AI data co-workers” that can automate and enhance analytics tasks, with support for natural language queries, full explainability for every insight, and comprehensive governance. With Cube’s platform, developers can perform calculations on many different datasets in real time, without any of those hassles. It also provides an in-memory cache that saves the results of frequent calculations, so users don’t have to perform them constantly, meaning lower computing costs. Now, Cube is adding AI agents into the mix. At launch, Cube D3 features two different AI agents. The first is an AI Data Analyst, which is able to provide self-serve, natural language-driven analytics for any user. Users ask about their data in plain language, and the agent will generate a semantic Structured Query Language query that digs up the insights they need, presenting them in easily digestible, interactive visualizations. In addition, it can also perform tasks such as refining existing reports. The biggest advantage of building AI agents on top of a semantic layer is they gain more context, allowing them to perform tasks for users more effectively. There’s also an AI Data Engineer for more advanced users that’s able to automate the development of semantic AI models that can quickly leverage disparate data sources, enabling higher velocity and flexibility for the semantic data layer.