While Quickpath has always been a low-code platform for developing AI enabled solutions, we have recently been adopting AI in the platform to reduce the time and skills it takes to develop those data products.

Today, we're announcing a major step forward in our capabilities to develop complex data, analytics and application integrations utilizing a set of AI tools and capabilities built right into the platform to assist developers. These tools give you powerful natural language SQL generation, code generation using Python, JavaScript, JSON, optimizations that are aware of your data, integrations and analytics, explanation, and a conversational help interface to help you build even more complex integrations.

With Quickpath AI Natural Language SQL Generation, your team can quickly prototype and generate optimized SQL.

We use the metadata about all your relational, NoSQL, analytic or unstructured data sources along with the context of your inputs and outputs defined in additional steps to intelligently determine the correct SQL and allow you to validate it in real-time.

You can correct or optimize manually written SQL and ensure you follow the standards set by your organization.

With Quickpath AI Co-Pilot you can use all metadata about your data sources and information about your corporate standards and SQL Optimization to help you generate the correct and/or optimized SQL. You can see the suggested edits, accept, or reject the changes and validate the SQL against your data source in just a few easy steps.

A critical part of building AI solutions is understanding the operations you're working with, even when those have been written by another developer.

With Quickpath AI Co-Pilot, use the power of generative AI to get a robust explanation of your operations that help you understand their purpose, inputs, outputs, required and optional parameters, where that operation is used and how to access the results.

Why build operations manually when you can use natural language to build, connect and integrate new operations.

The Quickpath AI Co-Pilot is contextually aware of the data, connections, inputs, and outputs you have defined and can build your next operation or step. Additionally, you can select from a list of relative examples and have the AI Co-Pilot guide you through the remaining configuration steps. As with all operations, you can then validate the operation and see sample results. Useful operations are stored in the prompt history for other users.