Case Study: Capella Space accelerates satellite data experimentation with Weights & Biases

How Capella Space Produces World Class Satellite Data with the Help of Weights & Biases

Capella Space, an aerospace and satellite imaging company, specializes in collecting synthetic aperture radar (SAR) data to see through clouds and darkness. Their data science team needed a more efficient way to track their machine learning experiments for creating world-class satellite imagery, as their existing tools were clunky and slowed down their productivity. They turned to the vendor Weights & Biases for a solution.

By implementing Weights & Biases, the team at Capella Space rapidly accelerated its workflow. The platform was easy to integrate with simple log calls, allowing the team to quickly validate experiments and focus on core model development instead of manual tracking. Weights & Biases Reports also improved collaboration, enabling the team to easily share findings across their entire organization. This efficient experimentation directly contributed to their success, helping them produce a paper for a major industry symposium and maintain their status as a leading commercial SAR provider.

Capella Space

Ganesh Yalla

Data Science Lead