Case Study: Magellan AI scales podcast ad processing with Beam

Magellan AI Analyzes Podcasts and Scales to 600K Ads in 1 Year With Beam

Magellan AI, a platform for podcast advertising intelligence, faced significant stability issues and scaling difficulties with their previous cloud providers. These operational challenges, including time-consuming infrastructure management tasks like deploying ML models and configuring SSL certificates, were slowing down their product roadmap. This led them to search for a new solution, ultimately turning to the vendor Beam.

By implementing Beam's platform, Magellan AI gained the ease-of-use and scalability they needed. The solution enabled them to quickly deploy new machine learning models and effortlessly handle large bursts in traffic thanks to Beam's autoscaling capabilities. As a result, Magellan AI achieved a 50% increase in throughput, 99.9% uptime, and saved hundreds of hours previously spent managing infrastructure, allowing the team to focus on their core mission.

Magellan AI

Ryan Kerr

Senior Engineer