Ensemble Labs announced it raised $19 Million in an initial filing from an offering of $19 Million

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The San Francisco, California-headquartered startup automates repetitive tasks in the machine learning pipeline to allow data scientists and engineers to focus on higher-value, more creative tasks. Built on Kubernetes, the custom platform works as a cloud-agnostic solution that can be deployed on Amazon Web Services (AWS), Google Cloud and TensorFlow. Nikunj Bajaj, co-founder and CEO of TrueFoundry, said in an interview with TechCrunch that some key learnings from Meta have helped the startup solve machine learning deployment problems. The startup, which plans to deploy the fresh funds to broaden its platform and hire more individuals, recently opened early access to its platform and is working with companies as early customers for its beta release. TrueFoundry says it helps machine learning teams get 10x faster results and cuts their production timelines from “several weeks to a few hours.” Unlike the traditional way that requires a large time duration, TrueFoundry says machine learning developers using its platform can put their models into production as hosted endpoints along with auto-scaling in less than five minutes and monitor results from the very beginning. He founded TrueFoundry in June 2021, along with his IIT Kharagpur batchmates Anuraag Gutgutia and Abhishek Choudhary. TrueFoundry is serving customers with small data scientist teams and operating in sectors such as fintech, e-commerce, financial services, healthcare and retail, among others.Before venturing TrueFoundry, Bajaj and Gutgutia co-founded an AI-based recruitment platform EntHire, which was acquired by Info Edge last year.TrueFoundry, whose current headcount is 16 and mostly situated in India, said Tuesday it has raised $2.3 million in a round led by Sequoia India’s Surge.