
Scan.com Secures $220M Funding to Expand US Medical Imaging Network
The medical diagnostics platform closed a massive Series C round to scale its artificial intelligence scheduling tools and build a unified national infrastructure.
Umar Abubakar | 2 Sept. 2026 · 3 min read

Scan.com recently closed a massive financial round, securing $220M to expand its diagnostic network across the United States. The United Kingdom based startup split the capital injection into two distinct parts. Noteus Partners led a $90M equity investment with participation from Aviva, Concord Health Partners, YZR Capital, and Oxford Capital. VerisFi Capital and Atempo Growth supplied the remaining $130M through debt facilities. This aggressive capital accumulation arrives right after the brand doubled its revenue, surpassing a $165M annualized run rate.
Fixing a Fragmented Medical System
The diagnostic sector in the United States generates over $100B annually, yet the underlying technology remains surprisingly outdated. Hospital administrators still book roughly 85 percent of all scans using fax machines or traditional phone calls. This lack of modern communication causes massive delays. People waiting for an MRI or CT scan often wait weeks just to secure an appointment time. At the exact same time, diagnostic machines at independent clinics a few miles away might sit completely empty.
Pricing transparency creates another major hurdle. The exact same MRI procedure can cost a few hundred dollars at one location and several thousand dollars at a nearby hospital. Scan.com built a single application programming interface that connects independent imaging centers directly to health applications and employers. The software lets people see the exact price of their scan before they schedule the appointment. Modern software startups are securing massive capital to fix these exact types of physical world problems, similar to how Instinct AI recently secured $350M in funding to modernize its own sector.
Artificial Intelligence Routing and Scheduling
To fix the scheduling delays, the startup relies heavily on automated sorting algorithms. The software reads a doctor referral and instantly matches the patient with an available machine. The system factors in the price, the location, and the exact subspecialty required for the scan. Once the patient completes the appointment, the software routes the final images to the correct radiologist for review. The platform usually returns completed diagnostic reports to the patient within 48 hours.
Human care guides stay connected with the patient throughout the entire process. The software handles the administrative paperwork, leaving the actual human communication to real workers. So far, more than 900,000 individuals have used the network to book their medical appointments globally. Major publications like TechCrunch regularly cover how automation replaces administrative bloat in the medical field without replacing doctors.
Building National Infrastructure
Chief Executive Officer Charlie Bullock noted that the United States runs around 600 million medical scans every single year without any centralized digital infrastructure. While laboratory blood testing consolidated decades ago, diagnostic imaging remained entirely localized. The startup wants to become the default connecting layer for the entire country. Digital health applications can integrate the code and immediately offer their users access to thousands of vetted imaging centers.
The heavy debt facility portion of the funding round will support immediate mergers and acquisitions. The leadership team plans to acquire smaller regional networks and plug them directly into the main software platform. Investors are showing intense interest in companies building this type of connecting technology. We recently observed a similar massive cash injection when Socure achieved a massive valuation following its own recent acquisition.
What Happens Next
The startup officially entered the United States market in 2023 and spent the last year proving its business model could operate at a national scale. With the new capital secured, the engineering team will focus heavily on improving the matching algorithms and expanding the network of connected diagnostic centers. The leadership team is reportedly taking meetings with stock exchanges to prepare for a potential initial public offering in the coming years, though no official timeline exists yet.
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Umar Abubakar
Umar Abubakar
Expertise:Editorial Leadership, Product Design (UI/UX), Digital Media Strategy, Technology Systems, Product Architecture
Award:TechRobust Visionary Leader of the Year 2025
Umar serves as Editor-In-Chief and CEO of TechRobust, combining editorial vision with senior product design expertise to shape how modern technology stories are built, packaged, and told. Overseeing all editorial verticals, he directs coverage across global and regional tech landscapes while applying deep design thinking to publication strategy and reader experience.