Flywheel - 2026 Pricing, Features, Reviews & Alternatives

Flywheel improves the management of medical imaging data in life sciences, clinical, and academic institutions worldwide. It streamlines the entire research workflow by simplifying data capture, curation, computation, and secure collaboration. With cloud scalability and automated workflows, Flywheel empowers organizations to scale research data and analysis, enhance scientific collaboration, and expedite discoveries. The platform provides end-to-end solutions, integrating data ingest from various sources, standardizing curation, automating processing and machine learning pipelines, and facilitating secure collaboration in life sciences, clinical, academic, and AI organizations.

Key Features and Solutions:

Cross-platform data and algorithm interoperability

Secure and compliant data discovery across a global network of collaborators

Cloud-scalable and on-premise computational workflows for research and clinical applications

Who is Flywheel for?

Life Sciences: Enables data-driven research and development, improving R&D efficiency and accelerating discoveries through comprehensive research data management solutions.

Clinical Research: Unleashes the value of clinical data, enabling improved quality of care and outcomes across organizations.

Imaging Research: Sets the new standard for imaging research, driving productivity, collaboration, and scientific reproducibility while reducing costs.

AI Developers: Streamlines data management and accelerates medical AI product development.

COVID-19 Research: Provides a data management solution for organizing imaging data and facilitating secure collaboration.

For leading scientists and researchers looking to enhance productivity and accelerate healthcare innovation, Flywheel offers a revolutionary research data management platform that streamlines the aggregation and curation of massive datasets, enabling unprecedented collaboration and connectedness.