Case Study: Floryn makes faster data-driven decisions with Deepnote

Floryn accelerates loan decisions to within 24 hours with Deepnote

Floryn, a technology-driven B2B lending company, faced challenges in maintaining the speed and precision of its machine learning models for loan approvals while adhering to strict financial industry security compliance. Their data teams needed a more efficient and collaborative platform for the entire model lifecycle, from exploration to production. They also needed to shorten lengthy feedback loops with stakeholders who relied on BI tools like Looker for analytics.

Deepnote provided a secure, collaborative platform that streamlined Floryn's machine learning and data analytics workflows. The solution enabled real-time collaboration and involved stakeholders directly in the data exploration process. As a result, Floryn's teams significantly improved efficiency, met demanding timelines, and empowered the entire organization to make faster, data-driven decisions.

Floryn