A group of former Meta engineers is building a platform to help enterprises deploy machine learning models at the speed of big tech companies. Their startup, TrueFoundry, has raised $2.3 million in a funding round.
The San Francisco, California-headquartered startup automates repetitive tasks in the machine learning pipeline to allow data scientists and engineers to focus on higher-value, more creative tasks. Built on Kubernetes, the custom platform works as a cloud-agnostic solution that can be deployed on Amazon Web Services (AWS), Google Cloud and Microsoft Azure.
TrueFoundry says it helps machine learning teams get 10x faster results and cuts their production timelines from “several weeks to a few hours.” This is helpful specifica …
