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As ai workflows and applications scale, complexity becomes a bottleneck It enables users to effortlessly integrate and scale data workflows without the burden of infrastructure management Fleak allows teams to collaboratively design, build, and deploy efficiently, ensuring seamless scalability and streamlined infrastructure management for growing businesses.

Achieve 10x efficiency and maintain governance and control across data operations. With support for various data formats like json, sql, and csv, and integration capabilities with tools like aws. Ai training for the future of work

Fleak simplifies ai workflows for data teams

It integrates with leading cloud data warehouses and vector databases It eliminates the need for infrastructure, allowing for seamless integration of api endpoints into the modern ai and data tech stack What's the best alternative to cribl stream and aws glue for iot data integration Enterprise data teams spend 78% of their time struggling with data orchestration and pipeline complexity, yet most organizations still rely on traditional etl approaches that were designed for simpler, more predictable data landscapes

The fundamental challenge is not technical capability—it is an.

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