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Julius AI
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A ready Julius account with a paid subscription: sign in, upload a table or connect a database and start asking questions right away. Establish whose email the account uses first — if it is the seller's, access can technically return to them, and with it your uploaded files and database connections. Ask separately whether anyone else's data sources and analysis history are still in the account; those are best removed before you bring real working data in.
An analyst's workbench where data arrives as a file or a live database connection and questions are asked in plain language. Julius writes its own Python and R, runs the statistics, draws the charts and explains the result with citations back to the source rather than handing over a bare table. It connects straight into warehouses — Postgres, BigQuery, Snowflake, MySQL, SQL Server — and builds a semantic layer over the schema so it does not have to sift through thousands of tables per question. Findings export as a presentation, report or dashboard, recurring analyses run on a schedule, and you can feed in your own context through a data dictionary and custom agents trained on your tables. Under the hood are frontier models: OpenAI's GPT-5.6, Anthropic's Claude Sonnet 5 and Claude Fable 5, alongside Julius's own models.