Image Credits:<\/strong> Union.ai<\/p>\n<\/div>\n

So he set out with a small team to build out the infrastructure tooling to make it easier for these teams to build their models and put them into production. But there was always friction between the software engineers and machine learning specialists. \u201cThe reason was that \u2014 at least in the way I have distilled it \u2014 I think software and machine learning systems or AI products are inherently different beasts,\u201d Umare argued. In his view, software typically matures over time while AI models tend to deteriorate. These models, he noted, also often change based on external factors that users have little control over. \u201cSo you cannot use the same infrastructure that you use for [software deployments],\u201d he said.<\/p>\n

At that point, the team decided to open source its work in the form of Flyte and work with others to build out a more machine-learning-native platform.<\/p>\n

As is so often the case, Umare and four other members of the original Flyte team then decided to build a startup around these core ideas and the Flyte open source project, with Union AI launching in late 2020.<\/p>\n