Back to previous page
mmarmos logo

marmos

marmos is a conversational data-analysis platform created by Tencent's Lighthouse team, bringing data connection, analysis, chart creation, and dashboard assembly into one environment.

ProductivityAI assistantsProductivityChat assistantsVideo generationSee official site
Official website

Pricing information

Official product verified

No verified public pricing is available yet.

Official sources

Verified: September 8, 2026

DevPrice organizes public information and does not sell marmos subscriptions. Prices and availability are determined by marmos.

What is marmos?

marmos is a conversational data-analysis platform created by Tencent's Lighthouse team, bringing data connection, analysis, chart creation, and dashboard assembly into one environment. A user states an analytical objective in natural language, and the system works with connected data to organize a response. It is aimed at business professionals and data teams handling operational reviews, recurring reporting, or exploratory analysis without building every query and visualization manually.

The platform can work across spreadsheets, online documents, and databases, including analysis that relates information held in different sources. Generated charts and interactive dashboards remain editable, while attribution analysis and monitoring rules support continued investigation after the first result. Meaningful output requires an uploaded file or an authorized data connection, and automatically produced findings still require review against the underlying records and relevant business context.

Key features of marmos

  • Natural-language analysis

    It turns a business question into analysis over connected data, then organizes the result as a report and visual charts for recurring metric checks or focused reviews.

  • Cross-source data analysis

    It accepts spreadsheet, online-document, and database sources and can relate their data within one analysis, covering queries that would otherwise require manual consolidation.

  • Editable data dashboards

    It arranges analytical results in an interactive dashboard whose cards can still be revised, added, or removed as the underlying question and presentation needs evolve.

  • Attribution and metric monitoring

    It breaks down potential drivers behind metric changes and watches selected indicators under configured rules, supporting operational data that needs continued follow-up.