Looker Embedded analytics are at the heart of many next-generation data products, enabling monetization with live metrics and customizable user experiences. In the AI era, users expect apps to be highly interactive and conversational, and for data to be contextual, accessible and intuitive. Today, we are delivering conversational analytics in Looker Embedded environments with the Conversational Analytics API, now generally available, extending the natural language experience users have grown to expect from Looker to more surfaces, limited only by customers’ imagination.
Leading the shift to composable and agentic BI
Organizations are building integrated data experiences that meet users where they work. This is happening alongside the rise of agentic IDEs, where developers use AI agents to plan, code, and execute complex engineering tasks. Leveraging Looker’s embedded architecture within these environments incurs many benefits:
- Differentiated agent experiences: Build high demand, unique conversational experiences that set your products apart.
- Accelerated data monetization and developer extensibility: Turn raw data into sophisticated embedded products, transforming data assets into high-margin revenue streams.
- AI-readiness in the IDE: Build with agentic IDEs with confidence, using Looker’s semantic layer to reduce hallucinations and maximize speed-to-market.
Conversational Analytics generally available for embedded users
Building on Looker’s existing embedded framework and governed semantic layer, you can now integrate Gemini-powered natural language querying and AI recommendations via a low-code iframe implementation or our extensible SDKs. This makes it easier to ship production-ready, conversational AI within any application.
With native support for querying multiple Looker Explores, a built-in code interpreter, and customizable theming, you can now provide a private-labeled, high-reasoning agent experience alongside your core features, bridging the gap between complex data models and intuitive user discovery.
