§ Recipe

Enterprise data analysis.

Consumer AI analysis tools are fine for a founder with a CSV. At enterprise scale, you need tools that respect permissions, document their reasoning, and plug into the data warehouse. These do.

TeamSerious scale
  1. Exploratory analysis

    01

    Conversational data analysis for the analyst who wants to skip the syntax wrestling. Upload, ask, get charts and tested statistical interpretations.

  2. Enterprise search

    02
    G

    Unlisted · Enterprise search

    glean

    This tool isn't in the directory yet.

    Before you analyze the data, you have to find it. Glean is permission-aware search across all internal tools — the substrate for any serious enterprise AI work.

  3. Reports + briefings

    03

    Dump your analysis, raw data, and a brief. NotebookLM writes the executive summary with citations back to your source data. Saves the analyst four hours of slide-building.

  4. Statistical sanity check

    04

    Before a number goes to the CEO, paste the analysis into Claude and ask what could be wrong with it. It's the cheapest peer review you'll ever get.

  5. External benchmarking

    05

    Internal data without external context is half the picture. Perplexity pulls industry benchmarks with citations so your insights land in the right frame.

  6. Executive deck

    06

    The best analysis dies in a bad slide. Gamma turns a doc into a deck in minutes — the 10% of production work that determines whether the insight actually moves anything.