News•Feb 24, 2026
From Days to Minutes: How Omnisend Embedded AI Into the Data Lifecycle
Omnisend embedded large language models into its DataOps pipeline, using the Cursor AI editor to auto‑generate SQL, YAML and documentation, shrinking model‑building cycles from hours to minutes. A second LLM, Gemini Code Assist, acts as an automated reviewer, cutting review cycles by 30‑40% and reducing logical errors. The company also added a Chainlit chatbot that indexes Superset metadata, slashing "where is X?" queries by up to 40%. Finally, LLM‑driven scripts transformed 76 hours of video transcripts into structured insights, democratizing qualitative analysis.
