Pachyderm is an enterprise-grade, open source data science platform that enables explainable, repeatable, and scalable machine learning and AI pipelines. The platform combines data version control with tools to build scalable end-to-end ML/AI pipelines and lets users work in any language, framework, or tool. Since launching in 2014, Pachyderm has attracted enterprise customers including Shell, LogMeIn, Battelle Ecology, AgBiome, multiple government agencies, pharmaceutical and bioinformatics companies, and two major North American banks. The company has launched the general availability of Pachyderm Hub, a fully-managed on-demand Pachyderm cluster service that was in public beta since November. Pachyderm positions Hub as a way to remove operational burden for teams, deliver data lineage for explainable AI, and help enterprises comply with emerging AI legal standards. It will use recent funding to accelerate hiring, continue building Pachyderm Hub, and expand its vision for explainable, repeatable data processing at scale. The company is headquartered in San Francisco. Pachyderm builds big-data processing infrastructure optimized for the Docker era. The company positions its platform to power big-data processing for containerized and Docker-based workflows. As noted in the YC Digest, Pachyderm is a Y Combinator W15 alum. The article reports that Pachyderm has raised $2 million to advance its work. That funding is presented as intended to support the company’s Docker-oriented big-data platform development and scaling. The article does not provide revenue, user, or other operating metrics.

Total raised

$18M

Funding rounds

2

Latest round

Series B

Latest activity

Aug 2020