Scan.com, a search-and-booking platform for medical imaging, has raised $220 million to build what it calls the largest imaging network in the United States. Announced on August 31, 2026, the package combines a $90 million Series C equity round led by Noteus Partners with $130 million in debt facilities earmarked for acquisitions and working capital. The company, headquartered in both London and Atlanta, says it doubled revenue over the past year and now exceeds a $165 million annualized run rate.
Who backed the round and where the money goes
Aviva, Concord Health Partners, YZR Capital and Oxford Capital joined Noteus on the equity side. VerisFi Capital and Atempo Growth provided the debt. Scan.com says the proceeds will go toward expanding its network of US imaging providers and building out the infrastructure that routes patients, schedules scans and returns results, including its API and what it describes as agentic AI.
The investment thesis rests on a few striking figures. According to the company, the US performs roughly 600 million imaging scans a year in a market valued at more than $100 billion, yet 85% of those scans are still booked by fax or phone. “Labs got that decades ago with Quest Diagnostics and Labcorp. Imaging never did, and that is what we have built,” said Charlie Bullock, co-founder and CEO of Scan.com, in the announcement.
Idle scanners, not a shortage of machines
Scan.com argues the American bottleneck is not equipment. Its own data show the same MRI can cost a few hundred dollars at one center and several thousand at another a few miles away, with price a poor guide to quality. Some centers are booked out for weeks while others have scanners sitting idle. As the company puts it, the problem “is not a shortage of machines” but that “nothing connects the patient to the right one at the right time.”
That framing lands in the middle of an ongoing debate. Recent work suggests MRI efficiency gains could lift revenue per scanner by up to 60%, and AI-driven scheduling has cut MRI wait times by more than half in some departments. Scan.com is betting the constraint sits one step upstream: in discovering the open slot and connecting the ordering party with the facility that can fill it.
What an imaging network is, and why it is not a PACS
The platform bundles three functions that usually live in separate systems: search across centers by availability, price and subspecialty; scheduling with live, two-way integration into independent centers’ booking systems and electronic health records; and results delivery, typically within 48 hours according to the company. Digital health providers, employer benefit platforms, third-party administrators, health plans and workers’ compensation systems connect through a single API “with a few lines of code and no separate integrations required.”
It helps to separate this from tools radiologists already run. A RIS manages scheduling and workflow inside one institution; a PACS stores and distributes images; the EHR holds the clinical record. An imaging network operates one layer above, aggregating capacity from centers that share neither software nor ownership. Technically that leans on standards such as HL7 FHIR, whose Schedule, Slot and Appointment resources describe open capacity and bookings in machine-readable form, and, on the results end, on IHE profiles like XDS-I and image access through DICOMweb. Epic is attacking a related problem by letting hospitals exchange images without CDs; Scan.com aims the same idea at patients and payers rather than hospital-to-hospital transfers.
Scan.com’s scale so far
Scan.com says more than 900,000 patients have accessed imaging through its network worldwide. In the UK, where it started, it describes itself as the country’s largest medical imaging network. It entered the US in 2023 with a pilot across more than 50 imaging centers around Atlanta and now reports operations live nationwide.
“We look forward to supporting the Scan.com team as they continue to expand their technology-enabled network and improve how imaging is accessed and delivered across the United States,” said James Olsen, managing partner at Concord Health Partners, in the announcement. Noteus, which led the round, pointed to accumulated provider connectivity and proprietary data as an advantage it expects to compound with scale.
What it says about the economics of radiology
The raise arrives as private capital moves aggressively into US radiology. Days earlier, Radiology Partners agreed to buy Everlight for $715 million, and the specialty is wrestling with report turnaround times that have grown 177% in a decade against a documented shortage of radiologists and technologists. Scan.com does not add readers; it proposes redistributing demand toward centers with open machines and staff, which, if it works, will squeeze high-price, low-occupancy sites.
There are risks. Marketplaces need liquidity on both sides: enough centers to offer slots and enough payers to generate volume. Two-way integration with heterogeneous scheduling systems is famously brittle, and “a few lines of code” tends to hide data-mapping work somebody still has to do. It also remains unclear how the platform handles protocol and quality variation between sites beyond the quality check the company applies itself.
A global read
Outside the US, the same fragmentation shows up in different clothing. The UK’s NHS publishes diagnostic waiting-time statistics precisely because access to CT and MRI is a recurring political issue, and that is the gap Scan.com first grew into. In many European and Latin American systems, public and private imaging capacity sit side by side with little visibility between them, and teleradiology networks have expanded to move reads, not patients. Worklist orchestration platforms such as the one NewVue is opening to 2,500 radiologists tackle the reading side; Scan.com’s bet is on the front door.
For imaging center managers anywhere, the lesson is about exposure rather than about one vendor. A facility that publishes availability, price and turnaround in a standardized way, through FHIR or a proprietary API, becomes discoverable by whoever holds demand. One that runs on fax, phone queues and CDs stays invisible to that layer.
Source: Radiology Business
