A Natural Language Interface to Query Data Sources

Empower Your Teams With Easy Data Access

Nowadays, organizations collect vast amounts of data about their operations, offering valuable insights to make informed decisions.

However, the data sources that store this information can vary greatly, including relational databases, NoSQL databases, and third-party APIs to enterprise systems of record. Business teams increasingly need to traverse these diverse data sources to gain insights and develop competitive products and offers. Data lakes and warehouses help democratize access, but inevitably business users often rely on bottlenecked teams of analysts, data engineers and data scientists.

How can we remove the friction for users who lack knowledge of specific query languages like SQL or how to call the operations exposed on the API? How can we improve productivity and remove the barriers to entry?

Our tool uses natural language processing to turn your questions into data queries, making it easy to get the information you need. This technology provides a mechanism for efficient and effective information retrieval, hiding the complexity behind powerful capabilities.

As users interact with the tool, they will provide feedback to refine its responses. This feedback will be used to enhance the response mechanism and identify successful interactions to model future performance. By leveraging user interactions, the tool continuously improves, becoming more effective and efficient in meeting user needs.

Discover how easy data access can be. Request a call with us now!

Benefits

Empower Users to Access Data Seamlessly

Enable users to interact with data sources without requiring technical expertise or knowledge of specialized query languages.

User Interfaces More Accessible

The use of natural language permits the introduction of speech-to-text technology, a new dimension of accessibility to interfaces that will transform how users interact with systems.

Statistical Insights

Allow users to obtain actionable information from the combined data pool with automated statistical analysis triggered by natural language.

Features

Access Different Data Sources Through a Single Interface

This integrated approach enhances productivity and facilitates better decision-making by providing a comprehensive view of data across various source.

Integrate New Data Sources Easily

The proposed solution facilitates the adoption of additional data sources without requiring users to familiarize themselves with new structured query languages. Rather, they can continue to leverage natural language to extract information.

Secure Access to Data Based on Assigned Role

The solution limits data retrieval, ensuring only authorized individuals can retrieve specific information. This approach guarantees the integrity of the data and the confidentiality of sensitive information.

Leverage additional models

What if another model performs better than the ones provided by Amazon Bedrock?

The AI community is constantly pushing the limits of innovation by developing advanced models that offer new functionalities and improved performance. Companies can benefit significantly from these cutting-edge AI models as they could align more closely with their specific needs and objective.

Amazon SageMaker is a service provided by Amazon Web Services that enables data scientists and developers to efficiently create, train, and deploy machine learning models through a wide range of tools and frameworks. This service increases the variety of machine learning models that AWS users can access for their AI solutions.

Learn More

If you'd like to learn more about making data accessible without the need to write technical queries, please get in touch with us by filling out this form. One of our product specialists will get in touch.

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Natural Language Interface to Query Diverse Data Sources