AI & Data orchestration platform for end-to-end workflow automation
Keboola operates an orchestration platform for data workflows and AI automation built on a multi-cloud foundation (GCP, AWS, Azure) with deep integration to modern data warehouses (Snowflake, BigQuery, Redshift, Databricks). Project momentum centers on product-market fit definition, new logo acquisition, and shift-left security—while internal pain signals reveal go-to-market rebuilding and data governance friction, suggesting the company is in transition between product consolidation and scaled growth.
Keboola is a Prague-based data orchestration platform founded in 2008, operating as a privately held company with 51–200 employees. The platform enables organizations to build end-to-end data workflows, automate repetitive tasks, and deploy data applications across a unified interface. The product integrates natively with major cloud providers and data warehouses. Go-to-market activity is focused on new customer acquisition, while internal engineering priorities center on security hardening and workflow automation maturity.
Keboola runs on GCP, AWS, and Azure, with native connectors to Snowflake, BigQuery, Redshift, and Databricks for data warehouse integration.
Current priorities include defining product-market fit, new customer acquisition, shift-left security implementation, CI/CD automation, and AI-driven workflow capabilities.
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