Baseten Gives Data Science And Machine Learning Teams The Superpowers They Need To Build Production-Grade Machine Learning-Powered Apps, Raises $20 Million In Funding Led By Greylock

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The trio founded Baseten so that data scientists don’t have to learn to become full-stack engineers in order to build web applications for their machine learning models. With Baseten, data science and machine learning teams can easily serve their models, build backends and frontends and ship applications that solve critical business problems including operations optimization, content moderation, fraud detection and lead scoring. Customers on Baseten: “Baseten provides an easy way for us to host our models, iterate on them and experiment without worrying about any of the DevOps involved,” said Faaez Ul Haq, head of data science at Pipe By accelerating the time to translate models into apps, Baseten has the opportunity to unlock the value of machine learning for the enterprise and to allow companies that have to fully realize the competitive advantages created by machine learning. Baseten is using the funding to expand its engineering and go-to-market teams. Baseten is remote-first and backed by Greylock.