Case Study: Artera accelerates cancer treatment model development with Outerbounds

Accelerating Cancer Treatment with Scalable Machine Learning at Artera

Artera, a cutting-edge digital pathology company, faced significant challenges scaling its machine learning operations to analyze high-resolution cancer pathology images. Its infrastructure was chaotic and inefficient, leading to frequent blockers that delayed critical projects. The company needed a robust, scalable solution that could handle massive computational workloads while meeting strict healthcare data privacy standards. They turned to Outerbounds and its platform to resolve these issues.

By implementing the Outerbounds platform, Artera eliminated its infrastructure blockers entirely, reducing their frequency from 1-2 per quarter to zero. The solution drastically accelerated processing times, allowing tasks that took days to be completed in hours. Additionally, onboarding time for new machine learning engineers was reduced from weeks to just one week. Outerbounds provided the scalable and stable infrastructure that allows Artera to focus on developing models that improve cancer treatment decisions.

Artera

Akinori Mitani

AI Platform Manager