Pachyderm Secures $16 Million Investment Led by M12 – Microsoft’s Venture Fund
Company raises Series B round on back of Fortune 500 enterprise adoption
Pachyderm, an enterprise-grade, open source platform that enables explainable, repeatable, and scalable data science, announced it has raised $16 million in Series B financing led by M12, Microsoft’s venture fund. Jon Sakoda of Decibel Ventures, an independent venture firm backed by Cisco, also joined the round alongside returning investors including Benchmark and YCombinator, among others. M12’s investment was led by Microsoft Corporate Vice President and the fund’s Global Head Nagraj Kashyap, who will join Benchmark’s Chetan Puttagunta on Pachyderm’s board of directors.
“M12 and Decibel will prove essential to our expansion,” said Joey Zwicker, Co-founder of Pachyderm, “With their experience supporting the growth of B2B startups and their direct access to Microsoft’s and Cisco’s strength, expansive enterprise network and diversity of investments, we see them as essential partners for our next stage of growth.”
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Since launching in 2014, Pachyderm’s data science platform has become a critical tool within the machine learning software stack by providing AI development teams with a reliable, single source of truth for their machine learning pipelines. Over the past year, Pachyderm has attracted enterprise customers including Shell, LogMeIn, Battelle Ecology and AgBiome, as well as multiple government agencies, pharmaceutical and bioinformatics companies, two major North American banks, and others within the Fortune 500. Pachyderm allows these companies to quickly comply with emerging AI legal standards and ensures that Machine Learning Operations (MLOps) teams can always recreate data science experiments perfectly every time.
“Value from AI is not just about the first great insight. It’s ensuring that every insight only gets more accurate with time,” said Vaibhav Kumar, Software Engineering Fullstack Development Manager at Shell. “Pachyderm’s ability to deliver data lineage to data scientists is a great leap towards explainable AI.”
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