Feyn

Feyn is a machine learning platform designed for teams that want to develop specialized models rather than rely on generic third-party systems. It enables organizations to train custom models using their proprietary data, then deploy these models into production where they continue to improve over time as new data flows through the system. The platform guides users through four stages: defining success metrics for their use case, optimizing existing infrastructure, developing a task-specific model, and establishing continuous learning loops in production. Rather than treating data as hints to external systems, Feyn positions custom model ownership as central to building software that learns from organizational knowledge. Pricing details are not publicly listed on the site.