Code Ocean makes it easy for computational scientists and bioinformaticians to perform analysis, build pipelines, and reproduce their results in a secure cloud-based environment.

Get computational teams up and running faster in the cloud, less dependent on IT and engineering resources, and using standardized computing environments across your organization.

Code Ocean creates an immutable scientific system of record. Prove what you discovered, when you discovered it, and how—without any additional work or platform lock-in.

Code Ocean makes it easier for bench scientists to work directly with computational colleagues. Spend less time waiting for analysis and more time moving research forward.

Get started and up to speed with minimal IT support to make powerful, reproducible bioinformatics tools available and accessible to the whole team

Computational collaboration at scale across the entire research organization. FAIR, reproducible, traceable, and exportable across any time horizon with no lock-in.

Accelerate onboarding for new team members, work collaboratively across different teams, and make your research more accessible and interoperable.

Use cloud computing without spending any time on system administration. Keep costs low and help new researchers get set up with new environments and resources in minutes, not weeks.

Develop and manage financial machine learning models at scale for risk management, algo trading, fraud detection, customer segmentation and portfolio management, while adhering to strict compliance. 

Use ready-made template Compute Capsules to analyze data, or develop your own analysis workflow in your preferred language and IDE.

Code Ocean uses custom metadata and controlled vocabularies to ensure consistency and improve searchability.

Build pipelines using a modular, visual builder, or import from nf-core in 1-click. Runs on AWS Batch.

Install GPU-ready environments and provision GPU resources in a few clicks. MLflow built-in.

Process and integrate multiomics data with clear provenance and reproducibility, and no-code visualization apps built-in.

Automate and parallelize multi-step image processing workflows with easy-to-assemble image processing pipelines and data asset tracking.

Easily provision the compute you need. Spot instances, idleness detection, and automated shutdown help reduce cloud costs.

Keep track of all how all result data was generated with automated result provenance through the generation of the Lineage Graph.