Flywheel
Contact for pricing
Documentation ProvidedRegulatory Status Disclosed
Overview
Flywheel provides a comprehensive biomedical research data platform designed to streamline the entire lifecycle of medical imaging and related data. It empowers physicians, researchers, and life science organizations to capture, curate, manage, and analyze complex datasets efficiently and securely.
The platform is built to facilitate the development and deployment of AI/ML workflows, offering robust APIs and SDKs that enable researchers to build and integrate custom algorithms. It addresses critical challenges in clinical research by de-siloing data, standardizing diverse datasets, and accelerating multicenter collaborations, which are crucial for large-scale studies and biomarker discovery.
For healthcare systems, Flywheel supports enterprise imaging initiatives by centralizing imaging data, enabling expert annotation, and validating imaging workflows. This ensures that data is AI-ready, compliant with FAIR principles (Findable, Accessible, Interoperable, Reusable), and optimized for advanced analytics and machine learning applications across various therapeutic areas.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Biomedical data capture & ingestion
- Data curation & standardization
- Secure data management
- AI/ML workflow development
- APIs & SDKs for custom integrations
- Multicenter collaboration tools
- Enterprise imaging management
- FAIR data principles support
- Automated tasks with Flywheel Gears
- Expert annotation management
Use Cases
- Life sciences R&D
- Clinical research acceleration
- AI/ML model development & validation
- Imaging biomarker discovery
- Multi-site study management
- Enterprise imaging data centralization
What Physicians Need to Know
Healthcare API Support (FHIR/HL7)
Flywheel supports healthcare data standards including DICOM, FHIR/HL7, and OMOP, wherever possible.
HIPAA-Compliant Infrastructure
The platform is HIPAA and GDPR compliant, with secure, access-controlled projects and a role-based permissions model. Data is encrypted in transit using SSL certificates and can be encrypted at rest. Flywheel also maintains SOC 2 and SOC 3 certifications.
Clinical NLP Capabilities
Flywheel has partnered with Inference Analytics to integrate AI NLP technology, enabling the conversion of unstructured radiology reports into discrete clinical terms and concepts for enhanced cohort discovery.
De-Identification Tools
Flywheel provides configurable medical imaging de-identification (MIDI) through all its data capture tools, including Edge Connectors, Bulk Import, and Web Uploader. Administrators can set custom rules for removing PHI from imaging data and EMR, with options like Keeplists, Removelists, Hashing, Replacing, Date offsetting, Optical Character Recognition, and De-facing. De-identification can occur at the edge (pre-upload) or post-upload via a De-Identification Gear, supporting various file types including DICOM, JPG, PNG, TIFF, XML, JSON, Text, CSV, and TSV.
Medical Terminology Support
The platform supports standardized data vocabularies and ontologies, including DICOM, FHIR/HL7, and OMOP. Its extensible metadata framework also supports domain-specific standards like the Brain Imaging Data Structure (BIDS). The integrated NLP capabilities help in extracting discrete clinical terms from radiology reports.
Sandbox/Testing Environment
Flywheel integrates seamlessly with Jupyter Notebooks, allowing users to create and launch ML workspaces directly from their projects for model development. It also features a 'Gears' architecture for running custom or pre-built containerized algorithms.
SDK Languages
Flywheel offers a full REST API and SDKs for Python and R. While a dedicated MATLAB SDK was available, it is now deprecated, with users advised to call the Python SDK from MATLAB instead. The Developer Toolkit includes open-source Python packages for API communication, file handling, and gear development.
Rate Limits & Pricing
Pricing information for Flywheel's enterprise and healthcare AI solutions is not publicly detailed and requires direct consultation. However, general pricing plans include overage fees for exceeding monthly limits on visits ($2 per 1,000 extra visitors) and storage ($1 per GB over limit).
Certification Program
Flywheel offers 'Flywheel Validated,' a solution that provides full 21 CFR Part 11 compliance, including project locking, e-signatures, and audit trails, crucial for regulated clinical trials. The platform also adheres to HIPAA, SOC 2, SOC 3, and GDPR compliance standards.
Physician Tip
Physicians can leverage Flywheel's radiology-grade viewer for efficient image review, annotation, and tumor segmentation, which supports 3D rendering and PET fusion. The platform's ability to index and search radiology reports, combined with NLP capabilities, streamlines patient cohort discovery. Blind reader workflows and customizable de-identification tools ensure data quality and patient privacy for research while facilitating multi-site collaborations.
Flywheel offers extensive integration capabilities through its open APIs and SDKs, allowing for custom tools and connections with other systems like PACS. It integrates with Jupyter Notebooks for machine learning workflows and provides 'Gears' (containerized applications) for automating tasks. Partnerships with companies like Inference Analytics enhance its NLP features, and its cloud-native architecture supports major cloud vendors.
Details
| Category | Developer Tools & APIs, Drug Discovery & Research, Radiology & Imaging AI |
| Pricing | Contact for pricing — Contact for pricing |
| Free Trial | No |
| Deployment | Cloud |
| Mobile App | No |
| API Available | Yes |
| Data Export | Yes |
| Languages | Python, MATLAB, R |
| Training | Yes |
| Target Size | research institutions, pharmaceutical companies, medical device manufacturers, academic medical centers |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
No AI-estimated Supports 21 CFR Part 11 compliance for clinical trials, including comprehensive change logging, digital signatures, approval workflows, and secure submission of data to the FDA. |
| SOC 2 | Yes AI-estimated |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology Ai, Oncology Ai, Ophthalmology Ai, Pediatric Research |
Social Proof
| Customers | unknown |
| Notable | 10 of the top 20 global pharmaceutical companies10 of the top 20 academic medical centers (AMCs) |
Support & Reliability
| Training Provided | Yes |
Ratings & Reviews
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Press & Coverage
PR Newswire
Flywheel Announces Integration with AWS HealthImaging to Activate Imaging Data for Clinical Trials and AI Development
Flywheel announced an integration with AWS HealthImaging to help biopharma, medical device, and academic medical centers transform imaging and video data into an Enterprise Golden Data Lake for clinical development, research, and AI innovation. This integration allows customers to operationalize imaging data across exploratory research and regulated clinical workflows.
2026-05
PR Newswire
Flywheel reports record growth, launches products to support clinical trial and medical device markets, and closes $27.5M equity round
Flywheel announced key milestones achieved in 2025, including record growth, new product launches for clinical trial and medical device markets, and the closing of an oversubscribed $27.5 million financing round. The company has evolved into an enterprise imaging management platform supporting clinical trials, medical device development, and AI innovation.
2026-01
PR Newswire
Flywheel Launches Validated Imaging Solution to Accelerate Decision-Making Across the Clinical Trial Ecosystem
Flywheel launched 'Flywheel Validated,' a solution designed to streamline compliant imaging workflows and improve data access for clinical trial stakeholders. This solution is compliant with 21 CFR Part 11, aiming to accelerate time-to-decision and time-to-market for regulated trials and AI model development.
2025-12
Flywheel News
Flywheel Releases Enhanced Multimodal Functionality with Video Capabilities to Expand Research Innovation for Life Sciences
Flywheel announced the launch of a video viewing and annotation tool, enhancing its multimodal functionality to expand research innovation for life sciences. This aims to manage and analyze diverse data types more effectively.
2025-04
QMENTA
QMENTA vs. Flywheel: A Strategic Comparison of Medical Imaging Platforms
This article compares QMENTA and Flywheel, highlighting their approaches to regulatory compliance and their focus within the medical imaging platform market. QMENTA emphasizes FDA 510(k) clearance and ISO 13485 certification for clinical use, while Flywheel focuses on data integrity for large-scale pharmaceutical R&D through its Validated environment.
2026-05
Flywheel News
Flywheel Collaborates with Microsoft and NVIDIA to Propel End-to-End AI Development Platform on Microsoft Azure
Flywheel announced a collaboration with Microsoft and NVIDIA to advance its end-to-end AI development platform on Microsoft Azure. This partnership aims to enhance AI capabilities within medical imaging research.
2023-11
Flywheel News
Revolutionizing Medical AI Development: Flywheel Announces $54 Million in Series D Funding led by Novalis LifeSciences and NVentures
Flywheel secured $54 million in Series D funding, led by Novalis LifeSciences and NVentures, to further its mission of revolutionizing medical AI development. This investment will support the expansion of its medical imaging data management and analysis platform.
2023-06
Videos
Product demos, reviews, and walkthroughs for Flywheel.
"The Power In These Flywheels Scares The Pants Off Me" | Savage Builds
Frequently Asked Questions
Flywheel offers robust APIs and SDKs (e.g., Python, MATLAB) that allow developers to programmatically access and manage data, automate workflows, and integrate with external analysis tools like imaging software or machine learning platforms. This enables seamless data flow for custom scripts and applications, streamlining your research pipeline.
Flywheel is designed with HIPAA compliance in mind, offering features like access controls, audit trails, and data encryption to protect sensitive patient information. When utilizing developer tools, it is crucial for your team to follow secure coding practices and adhere to data handling protocols to maintain compliance within your custom integrations.
Alternatives include building custom solutions on cloud platforms (AWS, Azure, GCP), utilizing open-source tools like XNAT, or other commercial platforms. Flywheel's advantage often lies in its specialized focus on scientific data, built-in metadata management, and robust APIs, which can accelerate development compared to starting from scratch or integrating disparate systems.
Flywheel's pricing usually involves tiered subscriptions based on factors like data storage, user count, and specific features required. While API usage itself might not incur direct per-call costs, the overall platform subscription covers the infrastructure and support necessary for leveraging these powerful developer tools effectively.
While Flywheel's APIs are robust, users might encounter rate limits for excessive calls, necessitating careful design of integrations to optimize performance. It primarily supports Python and MATLAB SDKs, and while scalable, very large-scale custom processing might require careful optimization of external compute resources integrated with Flywheel.
Flywheel provides authentication mechanisms like API keys and OAuth2 for secure access. Developers must implement secure coding practices, manage credentials carefully, and ensure all custom applications adhere to the same stringent security and privacy standards as the Flywheel platform itself to protect patient data.
Flywheel typically offers comprehensive technical documentation, API references, and a dedicated support team to assist with integration challenges. For more complex custom development or specific project needs, professional services might also be available to provide in-depth guidance and hands-on assistance.
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| Last Verified: 2026-05-12 | First Added: 2026-05-12
Investors who backed Flywheel
Funded through the company that built this tool.
