Case Study: Lifebit cuts model deployment time from weeks to one day with Valohai

Facilitating access to medical data for drug development

Lifebit is a genomics and bioinformatics company that uses machine learning to make sensitive medical data more findable and usable for researchers and data consumers. Its team was struggling with slow, manual model deployment processes, including manual data transfers and versioning, which made it hard to scale beyond a few models in production. To solve this, Lifebit turned to Valohai, an MLOps platform for deployment, experimentation, and training.

With Valohai, Lifebit automated its deployment workflow and made it possible for any team member to deploy models independently. The result was a dramatic reduction in deployment time from two to three weeks to just one day, while also reducing the need to hire additional developers and easing onboarding for new team members.

Lifebit

Rishabh Shukla

Lead ML Engineer