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Rasgo offers a \"feature store;;\" or a single place that holds the raw data;; data layers;; and services that data scientists and engineers use to run and share code among machine learning models. \"We think of the feature store as having three dimensions: The first is enabling users to transform raw data into features at 10x velocity;;\" Parker said. \"Secondarily is sharing features across data scientists and models;; and the third is continuously serving features to models in production to produce financial value.\" George Mathew;; a managing director at Insight Partners who led the round;; told Insider that what made Rasgo stand out from other startups in the feature store category;; such as Tecton;; is its integration with cloud data warehouse giant Snowflake. \"One of the things that we just kept noticing was that a lot of the existing capability in that market;; you were kind of setting up all these separate systems and separate capabilities;;\" Mathew said. \"Having it built natively on top of a cloud native data warehouse is a much more scalable approach for most enterprises.\" Indeed;; machine learning operations or MLOps is a rapidly expanding market that coincides with the popularity of cloud data warehouses like Snowflake;; Databricks;; as well as Google's BigQuery and Amazon's RedShift. 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