Flywheel is a medical imaging data management and analysis software company focused on helping organizations organize, standardize and activate imaging and related biomedical data. Its platform supports ingestion, search, curation, computation and collaboration so teams can turn fragmented datasets into analysis-ready assets for research, AI development and regulated programs.
Flywheel serves life sciences companies, healthcare providers and academic institutions that need to manage imaging at scale across studies, sites and stakeholders. Its portfolio spans a core research platform, validated capabilities for 21 CFR Part 11 workflows, reader study support and scientific services. The company’s positioning centers on reducing manual data handling, automating repeatable workflows and making imaging data easier to reuse across clinical research, clinical trials, medical device development and multimodal research initiatives.
Offerings, Capabilities, and Integrations
Flywheel combines data ingestion, metadata indexing, cohort discovery, curation, processing automation and collaboration in one environment. The platform is built to manage imaging, video and associated research data from multiple sources while supporting configurable de-identification, provenance, access controls and auditability for teams that need both flexibility and governance.
Its platform is designed to fit into existing research and clinical ecosystems. Flywheel supports intake from modalities, PACS, RIS, raw data and file-based sources, and it exposes open APIs plus SDKs for Python, R and MATLAB to support custom workflows. The company also extends customer environments with integration and workflow support around areas such as BIDS, REDCap, HPC and custom pipeline development.
Products and Services
- Flywheel Core: Flywheel’s core medical imaging data management platform for ingesting, organizing, curating, computing on and securely collaborating around imaging and associated biomedical data.
- Flywheel Validated: A validated version of the platform for regulated and near-regulated workflows, offering 21 CFR Part 11 compliant imaging data management with support for multicenter studies, imaging reads, quality control, audit trails and data locking.
- Data Discovery: A discovery layer for ingesting, indexing and searching imaging and video data so users can find relevant records, build cohorts and support downstream analysis.
- Data Curation: A curation capability for organizing, labeling and annotating imaging data to create consistent, analysis-ready datasets for research and AI development.
- Flywheel Gears: Containerized plug-in applications that automate routine tasks such as metadata extraction, classification, quality assurance, format conversion and analytic pipelines.
- Reader Studies Module: An extension for managing image review and annotation workflows at scale, including task assignment, adjudication, reader forms, standardized tagging and downstream exports.
- Scientific Support & Solutions: Professional services delivered by Scientific Solutions Engineers to help customers with training, workflow design, custom Gears, integrations and ongoing research support.
- Data Exchange: A catalog-based capability that lets users browse and import pre-curated, publicly licensed datasets into a Flywheel environment for research and development use cases.
Target Customers
Flywheel targets organizations that rely heavily on imaging data but need more scalable ways to aggregate, standardize and analyze it. Core customer groups include pharmaceutical and biotech researchers, hospitals, health systems, academic medical centers and clinical research organizations.
It also addresses medical device developers and clinical trial stakeholders that need secure data access, workflow automation and compliance support across distributed studies. Sponsors, CROs, reading centers, academic collaborators and AI development teams are all aligned with the company’s focus on imaging-intensive research, development and operational workflows.
Cloud Integrations and Marketplace
- AWS Marketplace: Flywheel has an AWS Marketplace listing for Flywheel Enterprise, providing AWS customers with a marketplace channel to access and deploy the platform for medical imaging data management and AI workflows.
- Microsoft Azure Marketplace: Flywheel is listed in Microsoft Azure Marketplace, where Flywheel Core is offered for imaging research data management. Flywheel also describes its Azure-based SaaS offering as integrating with Azure Machine Learning and NVIDIA MONAI for AI development workflows.
Key People
- Hooman Hakami: Chief Executive Officer
- Colby Moosman: Chief Financial Officer
- Dmitri Daveynis: Chief Technology Officer
- Shelby Wyatt, Ph.D.: Chief Product Officer
- Luigi Gentile: Chief Commercial Officer
- Sarah Fazio: Chief People Officer
Key Facts
- Headquarters: Minneapolis, Minnesota, United States
- Employees: Approximately 115
- Annual Revenue: $25M-$50M
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: Privately held
