In order to help businesses, deploy machine learning models as quickly as major tech firms, a group of former Meta engineers created the platform TrueFoundry. The startup has raised $2.3 million in a funding round.
The startup’s automation of routine tasks in the machine learning pipeline allows data scientists and engineers to focus on more worthwhile, creative tasks. It has its headquarters in California’s San Francisco.
“Our goal from day zero is to provide a supreme developer experience. The curve of learning to get started on our system is not more than one hour,” said Nikunj Bajaj, Co-founder, and CEO of TrueFoundry.
According to TrueFoundry, it helps machine learning teams achieve 10x faster results and reduces production timelines from “several weeks to a few hours.”
The custom platform, built on Kubernetes, is a cloud-agnostic solution that can be deployed on Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.
