Julius AI

Julius AI is a lightning-fast, code-flexible data analyst that lets anyone upload massive files, ask plain-English questions, and receive publication-ready charts, Python or SQL scripts, and full reports in seconds. SOC 2 Type II secure and loved by 2 M+ users, it slashes analysis time, removes skill barriers, and turns raw data into strategic decisions on demand.

One-Click Data Ingestion

Julius accepts CSV, Excel, JSON, Parquet, and direct database connections (PostgreSQL, Snowflake, BigQuery) without file-size caps. A parallel ingestion pipeline shards large files across GPU workers, enabling terabyte-scale uploads without browser timeouts.

Conversational Analysis

Users type plain English requests—e.g., “Segment churn by cohort and predict next quarter’s revenue impact.” Julius translates the query into an internal DAG of statistical tasks, runs the appropriate models, and returns interactive charts plus a concise narrative summary.

Instant Visualizations

The visualization engine natively supports ggplot, seaborn, and D3 grammars. Users can switch chart types by voice or text (“Make this a violin plot”), and Julius re-renders within 300 milliseconds using server-side GPU rasterization.

Code Flexibility

Power users can pop open an in-browser IDE panel, inspect the auto-generated script, and tweak parameters. Changes sync bidirectionally: manual code edits update the conversation context, and conversational commands update the script in real time.