Yichen Jin and Bo Lei met through a shared passion for simplifying complex data workflows. Yichen, with a strong background in machine learning and venture capital, had spent years detecting fraud and then leading a team of data scientists. There, she realized the challenges data scientists face with infrastructure demands, turning innovation into tedious chores. Meanwhile, Bo, an experienced software engineer who had worked at Nvidia, Splunk, and Netflix, encountered similar frustrations. At Netflix, he drove the development of their real-time data pipeline platform, which highlighted the broader need for a managed data pipeline tool.

Their combined experiences and expertise in data science and infrastructure led to the creation of Fleak, a platform designed to give data scientists back their time. Fleak eliminates the need for extensive infrastructure management, enabling data teams to focus on innovation. By providing a serverless solution that simplifies the creation, integration, and scaling of data workflows, Fleak transforms complex processes into straightforward, scalable solutions. For data scientists, analysts, and engineers, Fleak means more time for impactful work and less time managing infrastructure.