What is Pachyderm?
Founded in 2014 and headquartered in San Francisco, Pachyderm provides an enterprise-grade, open-source platform designed to solve the complexities of data science workflows. By integrating version control for data with robust tools for building scalable, end-to-end machine learning and artificial intelligence pipelines, the company enables organizations to achieve explainable and repeatable model development. The platform is framework-agnostic, allowing data scientists to utilize their preferred languages and tools while maintaining rigorous data lineage and reproducibility, which is essential for modern enterprise-level AI deployments.
How much funding has Pachyderm raised?
Pachyderm has raised a total of $28M across 3 funding rounds:
Angel/Seed
$2M
Series A
$10M
Series B
$16M
Angel/Seed (2015): $2M with participation from Caffeinated Capital, Susa Ventures, Data Collective, Foundation Capital, Soma Capital, Blumberg Capital, and Ace & Company
Series A (2018): $10M led by Y Combinator, Foundation Capital, Blumberg Capital, Benchmark, Susa Ventures, Tuesday Capital, Data Collective, and Ace & Co.
Series B (2020): $16M supported by M12, YCombinator, Benchmark, and Decibel Ventures
Key Investors in Pachyderm
Y Combinator
Established in 2005 and located in Mountain View, California, Y Combinator provides seed funding for startup businesses and to gauge investors for businesses.
Foundation Capital
Foundation Capital is a venture capital firm that partners with bold founders building category-defining technology companies, supporting entrepreneurs from the earliest stages through long-term growth with deep operational and strategic expertise.
M12
M12, Microsoft's Venture Fund, invests in enterprise software companies primarily in the Series A through C funding stages with a focus on applied AI, business applications, infrastructure, security, and vanguard technologies.
What's next for Pachyderm?
With the support of major institutional backers, Pachyderm is positioned to further solidify its standing as a foundational layer for enterprise AI. The recent capital infusion is expected to accelerate product development, specifically focusing on enhancing the platform's scalability and interoperability within complex cloud-native environments. As organizations increasingly prioritize the governance and auditability of their machine learning models, Pachyderm's focus on data versioning and pipeline automation places it at the forefront of the MLOps movement, likely driving further adoption among large-scale, data-intensive enterprises.
See full Pachyderm company page
