Reactor Data announced the production launch and immediate availability of Electron AI – the embedded conversational AI assistant designed to help data teams and analysts create powerful data mappings, transformations and pipelines. Electron acts as an intelligent co-pilot, enabling data analysts and teams to generate precise, context-aware mapping logic across source systems, semantic models, and destination schemas – all through simple conversational interactions. Electron acts as a natural-language assistant familiar with all aspects of a company’s data pipelines including sources, source schemas, multi-step transformations including complex data combinations, output configurations and destination tables. Whether a business is normalizing product titles, mapping transactional IDs, or aligning common fields across disparate sources, Electron helps brands go from request to result faster, with less friction and fewer mistakes. Key Capabilities of Reactor Data’s Electron AI: Conversational and Multilanguage Coding: Ask Electron to write complex data transformations, and it returns both Python code and simple natural language expressions. Pipeline and Context-Aware: Electron is tightly integrated with Reactor’s modular pipeline tools for source, semantic, and destination processing. Electron understands source and destination schemas and rules to offer precise, pre-validated mappings. Iterative Authoring: Electron translates natural language into mapping expressions with null handling, coalescing, formatting, and refinement based on feedback.