Leveraging large language models to provide an intuitive, conversational interface for users to access their data.

Leveraging large language models to provide an intuitive, conversational interface for users to access their data.

The brief.

Data Butler is a cutting-edge AI prototype developed by Ascendum that leverages large language models to provide an intuitive, conversational interface for users to interact with their data. This innovative solution allows users to query their databases and receive real-time insights, visualizations, and charts, making data analysis more accessible and efficient.

Our approach.

We focused on harnessing advanced AI to create a platform that revolutionizes data interaction, emphasizing real-time insights and user-friendly features.


AI-powered data interaction

Enabled natural language queries through large language models (LLMs), allowing intuitive conversations with data and delivers real-time insights and dynamic charts, empowering users with immediate, actionable visualizations.


Key features

A customizable interface tailored to specific user needs.It integrates database connections seamlessly with minimal setup for easy access to existing data sources.


Scalability and flexibility

Designed to scale with growing user bases and data volumes. Adaptable across various data types and industries, ensuring versatility and broad applicability.

Data Butler transforms data interaction by enabling real-time conversations. It allows users to ask questions and get immediate insights without needing to know the complexities of the underlying data.

Chris Ransdell

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The outcome.

The transformation of Data Butler into a scalable software platform empowers users to take control of their
data interactions, resulting in significant benefits across various applications:



Enhanced user autonomy

Users can securely manage their accounts and customize Data Butler according to their unique needs.



Improved efficiency

The ability to tailor Data Butler to specific workflows increases efficiencies in data analysis and decision-
making processes.

Scalability

The platform supports a growing number of users
and larger datasets, making it suitable for organizations
of all sizes.

Flexibility

Data Butler’s configurability allows it to adapt to a wide range of use cases and industries, ensuring it meets the specific requirements of diverse user groups.

Leveraging large language models to provide an intuitive, conversational interface for users to access their data.