A team of former Meta engineers is developing a platform to assist businesses in deploying machine learning models as quickly as major tech firms. Their startup, TrueFoundry, has secured a funding round worth USD 2.3 million.
The startup, which has its headquarters in San Francisco, California, automates routine tasks in the machine learning pipeline so that data scientists and engineers can concentrate on higher-value, more imaginative tasks. The custom platform, which is based on Kubernetes, can be used to deploy applications on Google Cloud, Amazon Web Services (AWS), and Microsoft Azure.
According to TrueFoundry, it shortens production timelines for machine learning teams from “several weeks to a few hours,” enabling them to achieve results 10x faster. Particularly for companies without sizable machine learning teams, this is beneficial.