Airy is an open-source data platform combining real-time stream processing (built on Apache Flink and Atlas) with AI agents that run continuously to detect complex patterns across event data and trigger automated actions. It adds natural-language AI assistants letting business users query datasets directly, data schema/lineage/governance tooling, and pre-built connectors for data sources, foundation models and vector databases.
AI agents monitoring live data streams continuously, rather than running scheduled batch analysis, is what enables genuinely real-time automated response to operational events – a pattern detected and acted on as it happens is a fundamentally different capability than one discovered in a report the next morning. Being built on Apache Flink, an established, proven open-source stream-processing engine, and having been acquired by Confluent (a major, established data-streaming company) also signals real technical maturity and backing rather than an unproven early-stage platform.
This is infrastructure for data engineering teams building real-time systems, not a plug-and-play business tool – realizing its value requires genuine data engineering investment in schemas, connectors and pipeline design. Pricing isn’t disclosed; expect a sales conversation.
