AI analytics tools hallucinate because they query raw tables without understanding your business logic. Cube fixes this: AI agents build your semantic layer automatically, then use it to answer questions and generate reports with no hallucinations. Connect your data, get accurate results in seconds. Built on Cube's open-source semantic layer (19K+ GitHub stars). Free tier available.
I've been in the data/AI space for a decade and the biggest problem I kept seeing: AI gives wrong answers because it has no understanding of what your data actually means. Cube solved this at the infrastructure level with their semantic layer, and now puts AI agents on top of it. This is the Cursor moment for data analytics.
Hey PH! Artyom here, co-founder of Cube. We started as an open-source semantic layer in 2018 (19K+ GitHub stars). We realized this foundation was exactly what AI needed to stop hallucinating — so we built agents on top of it. Already running in 200+ companies. Would love your feedback!
I've been in the data/AI space for a decade and the biggest problem I kept seeing: AI gives wrong answers because it has no understanding of what your data actually means. Cube solved this at the infrastructure level with their semantic layer, and now puts AI agents on top of it. This is the Cursor moment for data analytics.