Keboola functions as a data orchestration layer within the AI agent ecosystem, focusing on the preparation and movement of governed data required to fuel autonomous workflows. The platform manages the end-to-end data lifecycle—from ingestion and transformation to delivery—positioning it as an infrastructure foundation that provides agents with structured context. By integrating with a library of native connectors and supporting real-time data streams, the platform enables builders to connect agents to fragmented enterprise data sources without manually managing individual pipelines.
In the agent stack, Keboola operates at the data and integration layer, facilitating both the feeding of context into agentic frameworks and the execution of downstream actions through reverse-ETL. For developers, the platform’s relevance lies in its ability to enforce governance and auditing across the pipelines that inform agent decisions. By consolidating disjointed ETL and orchestration tools into a single environment, the company promotes a streamlined approach to AI automation where the reliability of agent outputs is tied directly to the quality and consistency of the underlying data pipeline.
A unified data platform designed for AI pipelines and automation.
Keboola is hiring