Fleak AI Workflows is a low-code serverless API builder designed for data teams. It integrates with existing AI and Data tech stacks and allows for the immediate embedding of API endpoints.

Designed to alleviate the burdens brought by complex legacy systems, Fleak enables easy integration of structured and unstructured data. This tool promotes seamless integration of data components to create a unified API that scales effortlessly, encouraging data teams to derive insights from their data rather than managing data operations.

Fleak’s serverless infrastructure ensures that applications can be built and run without the necessity of managing servers, which leads to cost-efficient AI workflows and innovation stimulation.

Furthermore, Fleak possesses an AI Orchestration feature that coordinates multiple LLMs to optimize AI workflow performance, enhancing AI model efficiency with an emphasis on low latency.

Universal storage compatibility means Fleak can integrate with any storage environment such as cloud data warehouses or lakehouses, offering flexibility in adapting to diverse data workflows.

Fleak is production-ready, providing high-standard reliability, scalability, and security with its HTTP API Endpoints for real-world deployment. It effectively empowers data scientists, data analysts, and software engineers through its user-friendly platform that enables designing, building, and deployment that combats the bottleneck brought by AI application scaling complexity.