Labelbox builds artificial intelligence training data labeling software. When someone builds software, typically those involved is take for granted the existence of collaborative tools to write and debug code. In fact, to date, the machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. In that contex, the founders and management of Labelbox are directly addressing enabling their firm to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. It should be noted that Labelbox is not the standard SBIR-involved firm but rather entered the arena through the very different AFWERX vehicle.