Rose AI (Productivity)
Screenshot of Rose AI

Rose AI

Discover what Rose AI is — a data research platform that lets you find, clean, visualize, and transform data using plain-language questions.

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What is Rose AI?

Rose.AI is a data research platform designed to simplify how you find, clean, visualize, and transform data — all in one place. It uses open-source Language Model Models (LLMs) and natural language processing, so you can ask questions in plain English and the platform parses the information you need. It is particularly aimed at data analysts in finance.

Key capabilities include:

  • Natural language queries: Ask questions in plain language to locate and analyze relevant data.
  • Data provider integration: Connects with leading data providers so data flows into your workflows.
  • Visualization: Tools for building tailored data visualizations.
  • Permissions control: Customize who can see what, helping protect sensitive information.
  • Data sharing: Share datasets with internal teams or external collaborators.
  • Marketplace: Preview, buy, and sell datasets directly on the platform.
  • Auditable framework: Trace how output logic connects back to raw data inputs, supporting transparency and accountability.

Who created Rose AI?

Rose.AI was founded by Daniel Saedi, who is connected with Minerva Data. The platform launched on February 12, 2022, with a focus on simplifying the entire data research process — from finding and cleaning data to visualizing and transforming it. Its use of open-source LLMs and natural language processing makes it a useful tool for analysts, particularly in financial institutions.

How to use Rose AI?

  1. Sign up or log in on the Rose.AI website to access the platform.
  2. Query data in plain language — the natural language processing helps you locate relevant data sources without complex queries.
  3. Clean, visualize, and transform your data within the platform to simplify complex analysis tasks.
  4. Manage permissions to control who can view sensitive information when sharing.
  5. Share datasets with internal teams or external partners to support collaboration.
  6. Use the marketplace to preview, buy, and sell datasets.
  7. Rely on the auditable framework to trace outputs back to their raw data inputs.

If you need help, Rose.AI offers detailed documentation and email customer support.

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