marmos
Product information, use cases, and access for marmos.
Pricing information
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What is marmos?
marmos, also known as Omega, is an AI-native data analysis platform introduced by Tencent’s Lighthouse team. It is designed for office users and teams that need to bring data together, examine business information, and turn findings into readable visual outputs. The main interaction is conversational: users describe what they want to understand, and the platform can assist with data connection, analysis, chart creation, and interactive dashboard building.
The product is intended for work with spreadsheets, online documents, and databases, with support for analysis across multiple connected sources. Its workflow can take a natural-language request through to a visual result, making it a fit for recurring business analysis, reporting preparation, and dashboard work. Users who prefer to begin with a question instead of a complex analytics interface can use the conversation as the starting point for exploring their data.
Key features of marmos
Natural-language data analysis
Users can describe an analysis request in natural language, and marmos organizes the data work around that question to produce an analytical result. This is useful for turning a clearly stated business question into a report or visualization draft.
Multi-source data connections
The platform can connect sources such as Excel, CSV, Tencent Docs, MySQL, and ClickHouse. This allows users to bring material from spreadsheets, online documents, and databases into a shared analysis workflow.
Charts and analysis reports
marmos can generate data analysis reports and visual charts from the user’s stated objective, organizing processed information into a more readable output. It is suited to business overviews, metric interpretation, and analytical material that benefits from visual presentation.
Interactive dashboard building
The platform can organize analytical results into interactive dashboards, and the generated cards can be modified, added, or removed. This format suits teams that need to refine what is displayed and revisit their data from different analytical perspectives.