OpenAI’s Kepler lets employees query 600 PB of data with natural‑language agents
OpenAI’s internal agent Kepler taps GPT‑5 to turn natural‑language questions into data queries across 70 000 datasets and 600 PB of daily data. It automatically extracts schema, lineage and freshness, then executes the right SQL, letting analysts get answers in Slack or an IDE without manual data‑wrangling. The system also records scoped memories to improve future queries.