After seeing the benefits we were delivering, we asked the question, how are other companies solving this problem?
We found that very large companies with sophisticated ML capabilities had done what we had done - build a bespoke internal solution for ML Engineering.
What about everyone else?
As we started talking with more and more companies that were ramping up their use of ML, we found they were struggling with the same problem.
For them, the impact was significant: An inability to quickly take ideas, build ML models, and run them as part of their product in any reasonable time frame.