Flywheel automates data capture from PACS systems, instruments and file systems with the option to de-identify data before it leaves the local network. Resulting data is routed directly to your project saving you time

Flywheel can handle any file-based data including imaging, EEG, pathology, genomics, or any other file types. Users may add new data type support with metadata capture and viewers via gears and viewer plug-ins

All metadata in Flywheel is automatically indexed and immediately available for search. This includes image headers as well as any external data, such as from REDCap, that you sync into Flywheel

Flywheel supports extensible, user-defined metadata on any object in the system including projects, subjects, sessions, acquisitions, analyses, and files so you can customize any project to meet your needs

Flywheel projects enable you to manage collaboration in compliance with IRB and consent constraints. Include only the data allowed. Invite only the approved collaborators.
Manage privileges with secure access controls.

Flywheel automates scaling of large computational workloads by dynamically allocating and deallocating compute resources based on demand so you can run as much work as possible in parallel to save time.

Use Flywheel's gear rules and session templates to automate quality assurance, preprocessing, and pipelines. Users may create their own application plug-ins (gears) using standard Docker container-based applications.

Flywheel helps you manage data privacy and regulatory compliance with integrated de-identification - Remove & replace tags, offset dates, remove PHI in Images via Plug-ins, and manage Master Subject Codes for HIPAA and GDPR compliance.