Case Study: MSAid achieves 10x faster proteomics pipelines with Outerbounds

Msaid speeds proteomics pipelines 10x with Outerbounds

Msaid, a proteomics company, faced significant challenges scaling its complex machine learning data pipelines for protein analysis. Their custom scripts were unwieldy, processing a single dataset took up to 10 days, and one engineer was spending 50% of their time managing Kubernetes infrastructure. They turned to Outerbounds for a managed platform to handle this complexity and free up engineering resources.

By implementing Outerbounds, Msaid achieved a 10x reduction in data processing time, cutting it from 10 days to just one day. The Outerbounds platform eliminated the need for infrastructure management, freeing up an entire engineer to focus on higher-value work. Additionally, the company reduced pipeline onboarding time for new team members from weeks to just one or two days, dramatically improving overall productivity.

Msaid