Fleak is an AI-powered data transformation platform that ingests, transforms, and normalizes complex data in minutes, automatically handling schema drift to deliver consistent, AI-ready output to any destination. It eliminates brittle data pipelines by acting as an intelligence layer over existing infrastructure, accelerating data source onboarding and reducing engineering overhead.
Key Features
- AI-Native Config Generation: instantly creates executable transformation logic from documentation and sample data.
- Automatic Schema Drift Correction: detects changes, generates corrected configurations, and pushes human-reviewed fixes to pipelines.
- Engine-Agnostic Deployment: generates configurations deployable on Apache Spark, Flink, Vector, or its open-source Zephflow engine, avoiding vendor lock-in.
- Flexible Deployment: supports on-prem, VPC, or air-gapped environments for strict compliance and data lake consolidation.
Use Cases
- Cybersecurity: A leading platform used Fleak’s OCSF schema intelligence to cut integration time from quarters to one week, delivering a 4x revenue lift.
- IT Operations: A major airline automated complex ground ops data integration with Fleak as an in-motion orchestrator, achieving zero-friction system integration.
- Enterprise Data Silos: Breaks down silos by transforming and moving data across systems, enabling faster AI insights and reduced integration overhead.
Who It’s For
Data teams and engineers in security, IT operations, and AI-driven organizations who need to standardize, enrich, and route streaming data reliably without months of manual pipeline work.
Key Benefits
- Rapid data source onboarding in hours instead of months
- Frees up 90%+ engineering time by automating pipeline maintenance
- Achieves 90%+ field accuracy on complex data models and schemas
- AI-native config generation accelerates transformation logic creation
