OneMedNet Accelerates Growth with AI-Powered Real-World Data Platform and Expanding Industry Partnerships
OneMedNet grew its network to 121M clinical exams and partnered with five major data marketplaces in 2024. Its AI-driven platform advances anonymized real-world data for healthcare and beyond.

OneMedNet Corporation Shareholder Update
OneMedNet is entering 2025 with clear momentum, building on a year of solid progress. Significant achievements include onboarding five major data marketplaces, growing our network to over 121 million clinical exams, and advancing an AI-driven toolset for anonymizing and de-identifying data across multiple sectors.
2024 Key Achievements
AI-Powered Platform: Our federated iRWD™ platform uses cost-effective AI to efficiently search, de-identify, and curate precise datasets. This technology supports healthcare and extends to industries such as finance, telecom, and retail by applying advanced anonymization methods.
Expanded Market Reach: Partnerships now include five leading data marketplaces—Amazon Data Exchange (AWS), Protege AI, Bayer Data Marketplace, Datavant, and HealthVerity. These collaborations cover various healthcare data segments, from real-world evidence and clinical trial optimization to payer-provider data exchange and AI model training. Each partner adds unique strengths, from AWS’s enterprise infrastructure to Datavant’s leadership in health data anonymization.
Network Growth: Our network spans over 1,400 hospitals and healthcare providers, contributing to a medical imaging-rich real-world data (RWD) repository exceeding 121 million clinical exams. This collection expands organically by around 5% annually through routine patient care.
Brand Presence: Increased industry engagement through trade shows and targeted campaigns has generated over 130 qualified leads—a threefold increase from previous years. Imaging’s role in longitudinal patient records emerges as a key differentiator, with many customers returning repeatedly due to their positive experience with our platform and data quality.
Diverse Customer Base: Leading life sciences organizations license our regulatory-grade datasets for clinical trials, regulatory filings, and AI model development, validating our market position.
Regulatory Compliance: Our datasets meet FDA and international standards, supporting real-world evidence applications such as submissions, post-market surveillance, and research.
AI Innovation: We supply foundational data to train and validate AI models in medical imaging and diagnostics, helping drive advances in precision medicine.
What Differentiates OneMedNet
- AI-assisted de-identification and anonymization applicable across healthcare, finance, telecom, and retail sectors.
- Premium, purpose-built real-world data rather than raw datasets.
- Curated, regulatory-grade data designed for compliance and research needs.
- Longitudinal tracking across multiple patient care events.
- An imaging-focused iRWD™ platform enhanced with AI-driven cohort matching and refinement.
- Consistently high customer satisfaction leading to repeat business from top life sciences firms.
The Market Opportunity
The demand for real-world data continues to grow. Traditional clinical trials are costly and lengthy, prompting regulators like the FDA and EMA to increasingly support real-world evidence (RWE) in approval processes. According to McKinsey, generative AI combined with RWD could generate $60 billion to $110 billion annually in value within pharmaceuticals and medical devices. Healthcare data is expected to grow at a 36% CAGR through 2030, outpacing other sectors.
OneMedNet’s scalable platform, extensive provider network, and AI capabilities position us to capture a significant share of this expanding market.
Subscription-Based Pricing Model
We introduced a subscription-based Data License Agreement (DLA) to boost Annual Recurring Revenue (ARR). Our platform now supports near real-time data updates, offering flexible access to curated, regulatory-grade datasets through recurring licenses. This model enhances scalability, reinforces network effects, and aligns with ongoing demand for high-quality RWD. Partner hospitals and clinics share revenue, incentivizing network growth and deeper data collection.
Looking Ahead
Our strategy centers on three pillars: Platform, Partners, and People. The proven AI de-identification and anonymization technology, combined with our iRWD™ platform and growing healthcare provider network, creates a strong foundation. Our leadership team brings expertise in AI, cloud solutions, regulatory compliance, and mergers and acquisitions, all focused on execution.
Investor engagement is increasing to communicate our progress and long-term vision. While stock prices may fluctuate, the fundamental value we build through data quality, scalability, and relevance to healthcare’s future remains strong.