Rose AI streamlines the data research process from finding and cleaning data to analyzing, visualizing, and sharing it. Users pose questions in natural language, and the platform uses NLP and open-source LLMs to locate relevant data sources and generate precise results. It integrates with top data providers, offers over 100 built-in transformations, and provides an auditable framework to trace outputs back to raw inputs. A data marketplace allows previewing, buying, and selling datasets with customizable sharing permissions.
Users connect their datasets or import external data into Rose AI. The system indexes and interprets data structures, after which users can type natural language questions (e.g., “Show sales by region last quarter”) to get visualizations, tables, or summaries.
Streamlines data research process
Uses open-source LLMs and NLP for natural language prompts
Provides auditable framework for transparency
Enables frictionless data sharing with permissions
Functions as a data marketplace
Limited to data research workflows without broader AI applications
Relies on integrations with specific data providers
Customer support limited to email
