Airy Co-pilot: Democratizing stream processing capabilities for the enterprise

Airy Co-pilot offers a practical approach to data management, enabling real-time streaming and natural language interaction. It aims to simplify data analysis and visualization, helping teams make informed decisions in today's data-driven landscape.

Airy Co-pilot: Democratizing stream processing capabilities for the enterprise

The Stream becomes the Source of Truth

The LLM knows about the streaming infrastructure & can translate the prompt to stream processing tasks and enable the (disposable) deployment of apps running Kafka Streams or Apache Flink® jobs through Airy.

In an era where businesses are inundated with a diverse array of data and increasingly reliant on AI, the challenge of effectively managing, analyzing, and extracting insights from structured, semi-structured, and unstructured data has never been greater.

This is where Airy comes in as an open-source app framework to empower developers and data engineering teams to build customizable co-pilot applications for their relevant organizations on their own data with Airy Co-pilot. Thereby, they enable business users and technical stakeholders alike to interact with streaming data in the most simple way: via natural language.

Technical Requirements and LLM Integration

The development of Airy Co-pilot is grounded in several essential technical components:

  1. Developing a Frontend Application: Our objective is to craft a user-friendly frontend application under "frontend/co-pilot" that supports real-time data streaming, offering a robust and intuitive interface.
  2. Vector Database and CI Integration: We're focused on ensuring a smooth interaction between the frontend, LLM and vector database endpoints, complemented by a reliable continuous integration pipeline.
  3. LLM Integration for Enhanced Data Interaction: Integrating LLM technology is a strategic move to boost the application’s capabilities in data analysis and streaming, providing a more dynamic and responsive user experience.

The Solution: Airy Co-pilot

Key Features

  • Conversational Data Interaction: The application features a conversational interface, allowing users to engage with data in a more natural and intuitive manner.
  • Actionable Insights and Real-Time Data Access: Providing immediate access to data and insights, this feature is designed to support prompt and informed decision-making.
  • Data Visualization: With data visualization capabilities, Airy Co-pilot transforms complex data sets into clear and comprehensible visuals, aiding in the interpretation and presentation of data insights.

Benefits for Companies

  • Simplified Data Access and Streaming: Airy Co-pilot simplifies data access and streaming, notably with its translation capabilities from natural language into FlinkSQL and Kafka Streams powered applications, making it a valuable asset for businesses.
  • Efficient Decision-Making: The application is crafted to streamline access to insights, facilitating efficient and effective decision-making processes.
  • Increased Productivity: By easing data streaming and translation tasks, Airy Co-pilot is geared towards boosting productivity and saving valuable time and resources.
  • Improved Data Literacy: The application aims to make data analysis more approachable and user-friendly, contributing to enhanced data literacy especially among business users, removing the need to rely on data engineers for simple stream processing tasks.


Airy Co-pilot is a thoughtful response to the complexities of data management and streaming. It's designed to offer businesses a reliable way to navigate their data efficiently. Our commitment is to its ongoing development, focusing on enabling teams to build streaming applications that genuinely enhance their interaction with data.