We're working on https://iko.ai https://iko.ai, our internal machine learning platform. Not really prime time SOC 2 Type II enterprise ready kung fu yet, but it

We're working on https://iko.ai https://iko.ai, our internal machine learning platform. Not really prime time SOC 2 Type II enterprise ready kung fu yet, but it has: - No-setup Jupyter environments with the most popular libraries pre-installed - Real-time collaboration on notebooks - Multiple versions of your notebooks - Long-running notebook scheduling with GPU support against Docker images, and output that survives closed tabs and network disruptions displayed into a page so you can watch from multiple devices. - Automatic experiment tracking: automatically detects your models, parameters, and metrics and saves them without you remembering to do so or polluting your notebook with tracking code - Easily deploy your model and get a "REST endpoint" so data scientists don't tap on anyone's shoulder to deploy their model, and developers don't need to worry about ML dependencies to use the models - Build Docker images for your model and push it to a registry to user it wherever you want - Monitor your models' performance on a live dashboard - Publish notebooks as AppBooks: automatically parametrize a notebook to enable clients to interact with it without exporting PDFs or having to build an application or mutate the notebook. This is very useful when you want to expose some parameters that are very domain specific to a domain expert. I think we'll always see it as half-baked.