INSUBCONTINENT EXCLUSIVE:
founders were students at Berkeley when they observed that one of the problems around creating machine learning models was finding a way to
While there was a lot of open-source tooling available, data scientists are not experts in infrastructure.CEO Omer Spillinger says that
provide a way to deploy models more easily
scientist starts by uploading an exported model file to S3 cloud storage
We stream logs and expose [the model] to the web
long-term goal is to support all of the major cloud platforms
SageMaker, of course, only works on the Amazon cloud, while Cortex will eventually work on any cloud
He says that and support for Microsoft Azure are on the road map.The Cortex founders have been keeping their head above water while they
wait for a commercial product with the help of an $888,888 seed round from Engineering Capital in 2018
arrived at to make the valuation work, he said.For now, the company is offering the open-source tools, and building a community of
developers and data scientists
