TOLMA: private ChatGPT for analytics

GPT4 accuracy in analytics is 50%. A typical data engineer/analyst achieves around 93% on the same benchmark. This shows that current LLMs are far from being used in production for analytics.

We are building TOLMA to make analytics accessible to everyone with a high quality SQL and Python generation module.

  • Text-to-SQL

    TOLMA is designed to use SQL as the primary tool for interacting with data.

  • Data-to-Chart

    TOLMA uses Python and Plotly.js to produce interactive charts.

  • Context and Report

    TOLMA narrates a textual report supporting its tables and charts.

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