Fleak AI Workflows

Fleak AI Workflows is an intelligent data pipeline platform that automates the complex process of ingesting, transforming, and normalizing data from various sources. It specializes in handling challenging data integration scenarios like cybersecurity logs, industrial data, and proprietary formats, converting them into clean, AI-ready output that can be deployed to any destination. The tool eliminates the manual work typically required for data mapping and schema alignment, making it possible to onboard new data sources in hours rather than months.

What sets Fleak AI Workflows apart is its AI-native approach to configuration generation. Instead of manual coding, the system analyzes documentation and sample data to create full, executable transformation logic automatically. It continuously monitors for schema drift and can generate corrected configurations when data structures change, ensuring pipelines remain functional without constant engineering intervention. The platform is designed to be engine-agnostic, working with popular data processing tools like Apache Spark and Flink, or its own open-source Zephflow engine.

This tool is particularly valuable for data engineering teams in cybersecurity, enterprise IT, and industrial sectors who need to integrate complex, constantly evolving data sources. Real-world use cases include helping cybersecurity platforms automate customer data onboarding to achieve 4x revenue growth, and enabling airlines to standardize ground operations data streams. Fleak AI Workflows frees up engineering teams from maintenance tasks, allowing them to focus on building new AI products and detection models instead of sustaining existing infrastructure.