Flywheel

Minneapolis, MN, United States All United States companies → — Founded 2015

Developer Platform / API Imaging AI Specialist

Series D

Website Claim this company

Products

Flywheel

Developer Tools & APIs

Flywheel is a biomedical research data platform that streamlines medical imaging data capture, curation, and management for AI/ML development and clinical research.

Contact for pricing

See all 1 product →

About Flywheel

Flywheel is a pioneering medical imaging AI platform designed to power healthcare innovation through streamlined data management, curation, and analysis. It enables healthcare professionals, researchers, and innovators to manage imaging data at scale and transform complex imaging data into analysis-ready datasets for accelerated research and AI development.

The platform offers comprehensive solutions for biopharmaceutical companies, medical device manufacturers, and academic medical centers. It helps these organizations maximize the value from their imaging assets by informing clinical trials, automating research workflows, and accelerating AI development. Flywheel focuses on compliance, governance, and workflow automation across the entire image management continuum, from data aggregation and harmonization to analysis and sharing, ultimately helping teams move faster from discovery to decision.

Focus Areas

Medical imaging data management AI development biomedical research clinical trials oncology research neuroimaging ophthalmology multimodal data data curation workflow automation secure collaboration regulatory compliance (HIPAA 21 CFR Part 11)

Business Intelligence

Technology

Cloud-native, AI operating system, extensible compute engine based on containerization technology, open architecture, 'Gears' (plug-in applications), integrates with Microsoft Azure Machine Learning and NVIDIA MONAI, HIPAA and 21 CFR Part 11 compliant solutions

What Physicians Need to Know

Medical Imaging Data Management

Flywheel provides an end-to-end platform for aggregating, curating, and managing diverse medical imaging and related data, including MRI, CT, PET, digital pathology, genomics, and clinical video. It offers tools for organizing, labeling, annotating, and de-identifying data to create analysis-ready datasets for research and AI development.

AI Development & Machine Learning

The platform serves as a robust engine for building and iterating on proprietary machine learning models. It automates machine learning pipelines, supports the deployment of models for translational testing, and utilizes a 'Gears' architecture for running containerized algorithms at scale.

Biomedical & Oncology Research

Flywheel streamlines biomedical research workflows, enabling secure collaboration and providing high-quality, analysis-ready datasets. For oncology, it offers specialized features within its viewer, such as 3D rendering, segmentations, PET fusion, and total metabolic tumor volume calculations.

Clinical Trials & Regulatory Compliance

The platform is designed to streamline data collection, processing, and sharing for clinical trials. It ensures regulatory compliance with HIPAA, 21 CFR Part 11, and GDPR through configurable de-identification capabilities, audit trails, and SOP-defined image workflows, supporting secure multi-center collaboration.

Multimodal Data & Curation

Flywheel is built for multi-modality biomedical research data management, handling a wide array of data types beyond traditional imaging. It automates data curation through a structured metadata model, strong support for the Brain Imaging Data Structure (BIDS) standard, and automated curation templates, significantly reducing manual data wrangling.

Workflow Automation & Collaboration

It automates time-consuming processes like data ingest, pre-processing, quality control, labeling, and analysis pipelines. The platform facilitates secure, access-controlled projects for data and algorithm sharing with internal and external collaborators, supported by multi-site security and federated identity services.

Physician Tip

For physicians, Flywheel stands out by transforming complex medical imaging data into actionable insights with minimal effort. Leverage its automated data curation and de-identification to prepare data for research or AI model training, freeing up valuable time from manual tasks. Utilize the radiology-grade viewer for advanced analysis and annotation, especially in specialties like oncology, neuroimaging, and ophthalmology. The secure collaboration features are ideal for multi-site studies or sharing de-identified data with research partners, while robust regulatory compliance ensures data integrity and privacy. This allows physicians to focus more on patient care and high-value research, accelerating the translation of discoveries into clinical practice.

Flywheel offers an open architecture with comprehensive REST APIs and SDKs (including Python, MATLAB, and R support). This enables extensive integration with existing data pipelines, external research platforms, custom applications, and other software tools, ensuring flexibility and seamless connectivity within diverse research and clinical environments.

At a glance

Founded 2015

HQ Minneapolis, MN, United States · United States

CEO Matthew A. Michela

Funding Series D

Products 1

Visit site

Products by Flywheel

1 product in the directory

Flywheel

Developer Tools & APIs

Flywheel is a biomedical research data platform that streamlines medical imaging data capture, curation, and management for AI/ML development and clinical research.

Contact for pricing

What the Web Says

Flywheel appears to be a company with a few distinct offerings, primarily focusing on medical imaging AI platforms and WordPress hosting. Reviews for their medical imaging platform are limited but positive, highlighting ease of implementation and data management capabilities. For their WordPress hosting, users praise its ease of use, excellent support, and speed. As an employer, Flywheel (including Flywheel Digital) generally receives positive feedback regarding its culture, work-life balance, and benefits, though some express concerns about advancement opportunities and internal silos.

Overall: Positive

Strengths

Easy implementation and data management for medical imaging platform.
User-friendly interface and excellent customer support for WordPress hosting.
Fast and secure managed WordPress hosting.
Good work-life balance and positive company culture (Flywheel Digital).
Competitive benefits and pay for employees.
Streamlined medical imaging data management, curation, and analysis.

Limitations

Limited reviews available for the medical imaging AI platform.
A learning curve associated with the medical imaging platform.
WordPress hosting pricing can be higher compared to competitors.
Flywheel (WordPress hosting) consumes more memory compared to other software and uses Nginx instead of Apache, limiting .htaccess file configurations.
Lack of direct integration or continuous synchronization with some ERP systems (Flywheel for Business).
Some employees note limited upward mobility and internal silos (Flywheel Digital).

Based on reviews from: G2, Capterra, Reddit, Indeed.com, Comparably, Flywheel Health Partners

Last updated: 2026-08-12

Videos

News, demos, and interviews about Flywheel.

Loading videos...

Videos load interactively. If none appear, search YouTube for Flywheel →

View all on YouTube

Press & Coverage

Flywheel.io / 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 aims to operationalize imaging data across exploratory research and regulated clinical workflows.

2026-05

Flywheel.io / PR Newswire

Flywheel reports record growth, launches products to support clinical trial and medical device markets, and closes $27.5M equity round

Flywheel announced significant milestones in 2025, including record growth, new product launches for clinical trials and medical devices, and the closing of an oversubscribed $27.5 million equity financing round. The new capital will accelerate product innovation, especially in image management for clinical trials and AI model development.

2026-01

The SaaS News

Flywheel Secures $25 Million in Equity Round

Flywheel, a Minneapolis-based company providing a cloud-based solution for medical imaging data, secured a $25 million financing round led by Novalis LifeSciences and 8VC. The funds will be used for product development and continued growth in imaging management for clinical trials and AI model development.

2026-01

Flywheel.io

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.io

Flywheel and Mint Medical Announce Collaboration to Expedite Research and Clinical Trial Workflows with Enhanced Oncology Imaging Solution

Flywheel and Mint Medical announced a collaboration to expedite research and clinical trial workflows with an enhanced oncology imaging solution. This partnership aims to improve the efficiency of oncology imaging data management and analysis.

2024-07

Flywheel.io

Revolutionizing Medical AI Development: Flywheel Announces $54 Million in Series D Funding led by Novalis LifeSciences and NVentures

Flywheel raised $54 million in Series D funding, co-led by Novalis LifeSciences LLC and NVentures (NVIDIA's venture capital arm), with participation from Microsoft and other investors. This funding will fuel Flywheel's growth in public sector healthcare and pharmaceutical markets, and accelerate expansion into other markets.

2023-06

Flywheel.io

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 an end-to-end AI development platform on Microsoft Azure. This partnership aims to enhance the capabilities for medical imaging AI development.

2023-11

Flywheel.io

How Trustworthy AI Can Fuel Innovation in Medicine

This article discusses the importance of trustworthy AI in medical imaging research, highlighting how AI can automate tasks, increase accuracy in diagnoses, and accelerate drug discovery. It emphasizes that researchers spend a significant amount of time on data curation, which AI can help reduce.

unknown

Frequently Asked Questions

What is Flywheel and how does it help manage medical imaging data for research and clinical trials?

Flywheel is a cloud-native medical imaging data and AI platform that streamlines the aggregation, curation, and management of diverse imaging and associated data for research and clinical trials. It automates time-consuming processes, enabling researchers to create analysis-ready datasets for AI development and accelerate discoveries.

How does Flywheel support AI development and advanced analytics in healthcare, particularly for multimodal data?

Flywheel provides an end-to-end platform for AI development by enabling the management, curation, and analysis of multimodal data, including imaging, video, and EMR. It offers tools for automating machine learning pipelines, streamlining labeling and annotation, and deploying models for translational testing across various domains like neuroimaging, oncology, and ophthalmology.

What regulatory compliance standards does Flywheel meet, such as HIPAA and 21 CFR Part 11, for secure collaboration and data privacy?

Flywheel is designed to be HIPAA-compliant and offers solutions for 21 CFR Part 11 compliant medical research data management. The platform includes configurable de-identification profiles, audit trails, digital signatures, and approval workflows to ensure secure collaboration and adherence to stringent data protection standards.

Can Flywheel integrate with existing clinical workflows and systems, and how does it facilitate secure collaboration across institutions?

Flywheel streamlines research workflows by offering tools for automated data capture from various sources, including PACS/VNA, and provides custom 'Gears' for encapsulating local algorithms. It enables secure multi-institutional collaboration through managed projects, allowing researchers to share data, algorithms, and expertise while maintaining compliance.

What are Flywheel's key products or solutions relevant to academic medical centers and pharmaceutical companies?

Flywheel offers a comprehensive platform for life sciences, pharmaceutical, biotech, academic, and clinical research, including Flywheel Core and Flywheel Validated. These solutions support enterprise imaging management, accelerate drug discovery, facilitate clinical trials, and enable AI innovation through at-scale data aggregation, curation, and analysis.

What is the pricing structure for Flywheel's platform, and what kind of support does the company offer?

Flywheel's pricing is based on the duration and terms of the contract with the vendor, with additional AWS infrastructure costs potentially applying. The company provides support through Scientific Solutions Engineers who have real-world research experience, and some academic centers offer Flywheel as an institutional resource with informatics team assistance.

What is the company's stability and who are its key partners in the healthcare industry?

Flywheel recently secured a $25 million financing round and reported significant growth in 2025, demonstrating strong company stability. They have established key partnerships with industry leaders such as Roche, Genentech, and Siemens Healthineers to accelerate healthcare research and personalized medicine solutions.