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Julius AI

免费增值

AI data analyst that chats with your spreadsheets and databases

Julius AI 是什么?

Julius AI is a data-analysis workspace built around a chat box. Upload a spreadsheet, document or data file — or connect a live database — and ask questions in plain language; Julius runs the analysis itself and answers with charts, tables and written explanations, adding citations when it researches. It connects natively to Snowflake, BigQuery, MySQL, PostgreSQL and SQL Server, and pulls files from Google Drive, OneDrive and SharePoint. For warehouses with thousands of tables, it first builds a semantic layer of the schema so queries only touch relevant tables.

Analysis is only part of the workspace. Every plan also creates presentations, reports and dashboards, websites you can publish on a custom Julius domain, and images and video; paid tiers mainly raise the credit allowance and unlock frontier models such as GPT-6.1 Sol and Claude Opus 5.5. Julius states it is SOC 2 Type II compliant. It is aimed at founders, operators, marketers and analysts who live in spreadsheets but do not want to write SQL or Python for every question, and at small teams that need database reporting without a data hire.

核心功能

  • Chat-based analysis of uploaded spreadsheets, documents and data files
  • Native connectors for Snowflake, BigQuery, MySQL, PostgreSQL and SQL Server
  • File access through Google Drive, OneDrive and SharePoint
  • Charts, reports and dashboards generated from your data
  • Browser and parallel agents for research, with cited answers
  • Presentations, websites, images and video created in the same workspace
  • Semantic layer that maps large warehouse schemas before querying

如何使用 Julius AI

  1. 1

    Add your data

    Upload a spreadsheet, document or data file, or connect a database such as Snowflake, BigQuery or Postgres, or a Drive, OneDrive or SharePoint folder.

  2. 2

    Ask in plain language

    Type a question about the data. Julius writes and runs the analysis itself, building a semantic layer of the schema first when the database is large.

  3. 3

    Read and refine the answer

    Answers come back as charts, tables and written explanations. Ask follow-ups to slice the data differently or dig into an anomaly.

  4. 4

    Turn it into an output

    Convert the analysis into a presentation, a report or dashboard, or a website published on your custom Julius domain, and export or share it.

Julius AI 价格

套餐价格周期
Free$0per monthDaily credit allowance; analysis, presentations, websites, images and video are available on every plan, including Free
Plus$20per month2,000 credits a month plus 100 daily refresh credits, frontier models, file analysis with charts and presentations, 16 GB RAM and 7-day file storage; $16 per month billed annually
Pro$45per month5,000 credits a month, 32 GB RAM, unlimited parallel agents and priority email support; $37 per month billed annually
Business$450per month60,000 credits a month, up to 50 team members, Postgres, BigQuery and Snowflake connectors with no table limit in data connections; $375 per month billed annually
EnterpriseCustom—For multiple internal teams, adding SSO, audit logging and fine-grained RBAC on top of Business

Julius AI 适合谁?

  • Founders and operators reporting on business data
  • Marketers analysing campaign and survey spreadsheets
  • Analysts who want answers without SQL or Python boilerplate
  • Small teams that need warehouse reporting without a data hire

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