Flywheel

Flywheel is a medical imaging data management and analysis platform designed to help leading researchers and healthcare organizations maximize the value of their imaging data. By automating time-consuming data processes, Flywheel enables scientists and researchers to focus on making discoveries rather than spending the majority of their time finding, curating, and organizing data. The platform is scalable and extensible by design, supporting secure discovery, management, curation, and computation of large imaging datasets both within organizations and across global collaborators.

Flywheel serves a broad range of users including pharmaceutical and biotech researchers, clinical researchers, and medical device developers. Whether the goal is accelerating drug development, managing multisite clinical research, or meeting regulatory submission requirements, Flywheel provides a unified, cloud-based solution for ingesting data from multiple sources and unlocking it for research, AI development, and device development.

Core Platform Capabilities

• Imaging data aggregation from multiple sources into a centralized, secure platform
• Dataset curation tools to prepare analysis-ready datasets for research and AI development
• Cohort discovery to identify and organize relevant patient and study populations
• Project validation workflows to ensure data integrity before analysis
• Complex analysis support for large-scale imaging studies
• Algorithm exchange and model training capabilities to support AI and machine learning development
• Automated research workflows that reduce manual, time-consuming processes

Who Flywheel Is Designed For

• Pharmaceutical and Biotech Researchers: Supports data-driven R&D strategies by aggregating imaging data, streamlining workflows, enabling efficient collaboration, and developing analysis-ready datasets
• Clinical Researchers: Functions as a scalable medical image management system and research workflow solution, enabling secure access, processing, analysis, and collaboration on imaging data
• Medical Device Developers: Provides a scalable, cloud-based platform for ingesting data from multiple sources to support device development and accelerate regulatory submissions

Real-World Applications and Success Stories

• Stanford Psychiatry and Behavioral Sciences: Flywheel powers automated workflows in Stanford's Brain Stimulation Lab, supporting Stanford Neuromodulation Therapy for treatment-resistant depression by processing large volumes of patient data and developing automated tools for identifying personalized brain stimulation targets
• University of California, San Francisco: A ten-year, 19-site traumatic brain injury (TBI) study uses Flywheel to aggregate and securely share medical imaging and related data across institutions, overcoming the challenges of sharing large image files in multisite research
• Octave Bioscience: A data scientist leveraged Flywheel's openness and extensibility to accelerate AI development for multiple sclerosis care management, including custom viewers, third-party integrations, and partner collaborations

Expert Support and Guidance

• Flywheel's Scientific Solutions Engineers bring real-world research experience to every customer engagement
• Teams receive consulting and training to optimize their research workflows on the platform
• Customers are supported throughout onboarding and ongoing use, ensuring they are not navigating the platform alone

Flywheel has evolved from a core lab research technology platform into an enterprise imaging management solution supporting clinical trials, medical device development, and AI innovation at scale. The company recently closed a $27.5 million equity round and reported record growth, reflecting its expanding role across the pharmaceutical, clinical research, and medical device markets.