A medical scan can take less than an hour. Reaching the scanner can take weeks.
That gap is what Scan.com has spent nearly a decade trying to remove.
The company began in the UK in 2017, after clinicians Dr Khalid Latief and Jasper Nissim saw how slow and opaque diagnostic imaging could be for their own patients. They later teamed up with Charlie Bullock, Oliver Knight and Joe Daniels, first connecting patients with unused imaging-center capacity and eventually building what Scan.com describes as the UK’s largest marketplace for self-pay scans.
The business has now moved far beyond marketplace logic.
Scan.com has secured $220 million in combined equity and debt financing after doubling revenue over the past year to more than a $165 million annualized run rate. The financing includes a $90 million Series C equity round led by Noteus Partners, with Aviva, Concord Health Partners, YZR Capital, Oxford Capital and others participating, plus $130 million in debt facilities from VerisFi Capital and Atempo Growth for M&A and working capital.
The money is being raised around a simple observation: the US does not necessarily have a scanner shortage everywhere. It has a coordination problem.
Scan.com says the American medical-imaging market is worth more than $100 billion, with roughly 600 million scans performed every year, yet around 85% of scans are still booked by phone or fax. One center can be booked for weeks while another nearby has capacity. The same scan can also cost several times more depending on where it is performed.
That contradiction is the core of Scan.com’s thesis:
“Price transparency exists. Intelligent routing does not.”
The company is trying to solve that routing layer before the patient gets lost inside it.
Instead of showing a list of imaging centers and leaving the patient to call them, Scan.com connects directly with scheduling systems across its network. A referral can be matched against availability, quality and price, and the patient can be offered a real appointment rather than another phone number. Scan.com’s health-plan product describes the difference clearly: routing a member to a cheaper center is still a suggestion; booking them into an open slot turns that suggestion into a transaction.
That is where the company’s technology becomes more than scheduling software.
Through a single API, health plans, employers, third-party administrators, workers’ compensation systems and digital-health platforms can connect to imaging capacity across the country. Scan.com says AI is used to match referrals with live availability, price and subspecialty requirements, automate scheduling and paperwork, and route reports to the relevant radiologist, while care guides remain involved with the patient throughout the process.
The system is now operating at meaningful scale. Scan.com says more than 900,000 patients globally have accessed care through its network. Its current platform reports appointment offers in under five minutes, while 98% of reports are returned within 48 hours.
The economics explain why employers and payers care.
Scan.com says hospital outpatient imaging can cost two to three times more than the same study at a freestanding center. Its employer offering reports 40% to 60% savings, while the health-plan product focuses on steering members toward lower-cost sites before the appointment is booked.
CEO and co-founder Charlie Bullock frames the ambition more broadly:
“This investment is about making that the standard in US healthcare, rather than the exception.”
That sentence gets closer to the real story behind the financing.
Scan.com is not simply trying to help people find MRI and CT appointments faster. It is trying to make diagnostic imaging behave more like infrastructure: one contract, one network, one scheduling layer, one results flow, and fewer places for patients to get stuck between referral and diagnosis.
The company often compares that ambition with laboratory medicine, where national rails already exist through players such as Quest and Labcorp. Outpatient imaging never developed an equivalent connective layer, and Scan.com believes that absence is the opportunity.
The $220 million financing gives it more capital to test that thesis across the US, expand its provider network and invest further in the API and agentic-AI infrastructure that handles routing, scheduling and results.
Healthcare has spent decades improving what scanners can detect.
Scan.com is betting that one of the next important breakthroughs is much simpler: making sure the patient can actually get to the right scanner before waiting becomes part of the diagnosis.