Striveworks, an MLOps start-up, has secured $33m in its first-ever round of funding. Centana Growth Partners provided the funding for Striveworks, which is based in Austin, Texas, to be used for hiring and product and business development. Striveworks aims to take on MLOps’ day-one problem of creating appropriate machine learning models to fit one’s objectives before it tackles the more complex problem of ensuring these models perform as expected. The start-up’s flagship platform, Chariot, enables teams to collaborate using low-code format when preparing data, building models and running those models in production. Striveworks has partnerships with AWS and Azure and has a range of customers from different verticals, including highly-regulated and national security applications. The firm’s ARR has grown by 300% annually over the past two years.
Striveworks Raises $33M to Develop Machine Learning Operations Tools
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