Pachyderm

Automates machine learning processes and data pipelines

San Francisco, California, United States

About Pachyderm

Pachyderm provides a platform designed for data science and machine learning that automates various processes and integrates with Kubernetes. The platform is tailored for data scientists and machine learning engineers, offering features like version control for data, scalable data processing, and compatibility with tools such as JupyterHub. Users can choose between a free open-source community edition and a paid enterprise version that includes additional features and support. Pachyderm stands out from competitors by offering a comprehensive solution that simplifies the deployment and management of machine learning models, which helps users enhance productivity and reduce operational complexity. The company's goal is to facilitate data-driven decision-making across industries like finance, healthcare, and technology.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$56.5MTotal Funding
LATE_VCCompany Stage
Data & Analytics, AI & Machine LearningIndustries
51-200Employees

Benefits

Medical, dental, & vision coverage
401k
Equity
Flexible PTO
Remote friendly
Tech & office stipends
Education & donation stipends
Parental leave

Risks

Emerging open-source platforms may offer similar features at lower costs.
Rapid AI evolution may outpace Pachyderm's current capabilities.
Integration challenges with new Kubernetes versions could affect user experience.

Differentiation

Pachyderm offers version control for data, enhancing data governance and compliance.
The platform integrates seamlessly with Kubernetes, supporting hybrid cloud environments.
Pachyderm's open-source model democratizes AI, making it accessible to non-experts.

Upsides

Integration with LLMs enhances Pachyderm's data processing capabilities.
The rise of MLOps aligns with Pachyderm's automated ML workflow management.
Growing hybrid cloud adoption benefits Pachyderm's Kubernetes integration.