Case Study: Viator cuts ML pipeline development time from 2 weeks to half a day with Valohai

Viator reduces ML pipeline development time from 2 weeks to half a day with Valohai

Viator, a Tripadvisor company and leading travel experiences marketplace, sought to refine its machine learning workflow to improve collaboration and accelerate deployment. Their team faced significant challenges with their previous ML platforms, including a slow, open-source solution that hampered their ability to iterate quickly and manage models effectively. They turned to the Valohai MLOps platform to transform their entire ML operations.

By implementing Valohai, Viator's team drastically reduced ML pipeline development time from two weeks to just half a day. With tailored support, they migrated all key projects in under two months. The platform's reproducibility-first design and smart orchestration enabled faster iteration, easier debugging, and the ability to run multiple experiments in parallel. This has allowed Viator to improve model accuracy and significantly amplify its impact on business growth.

Viator