The Fastest Way to Deploy
Data Science Pipelines

You define model pipelines with a Python SDK
‍
We deploy it on fully managed, global infrastructure

Example usage of the Seaplane Python SDK

Why use Seaplane?

Data science and machine learning teams struggle to get their model pipelines off the ground and into production, but it doesn’t have to be this way!
Seaplane’s Python SDK helps you get your applications to Production, today.

"A straightforward platform for data science deployments without getting caught up in configuration tasks.
A data scientist's dream 🤩"

Kjeld Oostra

AI Engineer @ Entropical

"Using Seaplane will shorten the time to value for projects"

Lars Svendsen

Partner @ Ondoou

Create production ready pipelines in seconds

Deploy production ready pipelines in seconds. Accessible through common interfaces. Seaplane’s Python SDK helps you get your applications to Production, today.

API based pipeline
Streams based pipeline
Cron Jobs & batch-based pipeline

Powerful production ready building blocks for rapid prototyping

Define and deploy re-usable building blocks and connect them inside a pipeline. Enable your team to build rapid prototypes that are production ready.

Compute based co-processor with auto-scale
Add SQL, VectorDB, and PubSub services in seconds
Specialized optimized hardware for ML workflows

Backed by

Quickly prototype data science pipelines

Seaplane enables teams to move faster, build velocity, and easily deploy pipelines. Don't waste time managing cloud infrastructure when you could be generating valuable insights.

No infrastructure knowledge required

Dream it. Deploy it. Done.
Seaplane deployments scale with your business needs and objectives. Meet the demands of your global user base, while maintaining shipping velocity.

Python SDK for Operational Efficiency

Seaplane makes shipping a first class concern. Deliver high-quality insights as soon as they are found. Build workflows to empower your teams.