Scan.com Raises $220 Million to Build a National Imaging Network, Betting on the Quest Diagnostics Playbook

Scan.com has closed a $220 million financing package, combining a $90 million series C equity round with $130 million in debt facilities, to expand what it calls the largest medical imaging network in the United States. The announcement, made Monday, positions the company as a bet on consolidating one of healthcare's most stubbornly fragmented corners.

The equity round was led by Noteus Partners, with Aviva, Concord Health Partners, YZR Capital and Oxford Capital participating. VerisFi Capital and Atempo Growth supplied the debt component. That split, roughly 41% equity to 59% debt, suggests investors see enough predictable cash flow in Scan.com's model to underwrite growth with leveraged capital rather than pure equity dilution.

James Olsen, managing partner at Concord Health Partners, framed the investment in terms familiar to healthcare-focused funds: access, quality and cost. "Scan.com's ability to improve access to high-quality diagnostic imaging while reducing cost and complexity is directly aligned with Concord's mission to support companies that improve quality, increase access and reduce the cost of care," he said in a statement.

Founded in the UK in 2017, Scan.com entered the US market in 2023. The company connects payers, providers and patients through a single platform, aiming to do for imaging what national lab networks did for blood work decades ago.

The Market Gap

The numbers behind this raise are worth sitting with. Roughly 600 million medical imaging scans happen in the US every year. Despite that volume, no national infrastructure ties the system together. Eighty-five percent of scans are still booked via fax or phone, according to the source reporting. That is not a rounding error. It is a structural inefficiency in a market this large.

Scan.com co-founder and CEO Charlie Bullock draws a direct comparison to the lab industry. "Labs got that decades ago with Quest Diagnostics and Labcorp. Imaging never did, and that is what we have built," he said. The pitch is straightforward: an employer, health plan or digital health app connects through a single API, and patients get scanned at a quality-checked center in days rather than weeks, with pricing visible before scheduling.

That pricing transparency component matters more than it might first appear. Healthcare buyers, particularly self-insured employers, have spent the past decade demanding exactly this kind of visibility. A platform that can show a price before a patient books removes one of the more persistent friction points in outpatient care.

The backdrop makes the timing sensible. A national shortage of radiologists and imaging technologists is compounding scheduling delays across the system. Patients already wait weeks for scans in many markets. Any platform that can shrink that window while maintaining quality controls addresses a real bottleneck, not a manufactured one.

Scan.com's technology stack integrates directly and bidirectionally with independent imaging centers' existing scheduling systems and electronic medical records. That is a meaningful technical lift. Rather than asking imaging centers to adopt new software, the company builds around what already exists. Integration friction kills a lot of healthcare platforms before they reach scale, so this design choice is worth noting.

Artificial intelligence sits underneath much of the operation. Company executives describe AI as "deeply embedded" across the platform, matching referrals against network availability and pricing, and handling scheduling and documentation autonomously. A team of human care guides remains in the loop to support patients through the process. That hybrid model, automation paired with human oversight, reflects a broader pattern in healthcare AI deployment: full automation still makes buyers nervous, but AI-assisted workflows with human backstops are gaining traction.

The category is not without competition or adjacent activity. Subtle Medical, another AI-powered imaging startup, recently raised $33 million and brought in a new CEO, signaling continued investor appetite for imaging-adjacent AI plays even as approaches diverge. Where Subtle Medical focuses on image processing technology, Scan.com is building network infrastructure and scheduling logistics. Both bets assume imaging remains a growth category worth capitalizing.

Scan.com's own growth figures give some indication of traction. More than 900,000 patients have used its network globally to date. Revenue has doubled over the past year, the company says, surpassing a $165 million annualized run rate. Doubling revenue at that scale is a meaningful signal, though annualized run rate figures should be read with some caution since they extrapolate a snapshot rather than confirm sustained performance.

The Bottom Line

The thesis here is not complicated: healthcare labs consolidated around national infrastructure decades ago, and imaging never followed. Scan.com is wagering $220 million that the same forces, scale, standardization, single-point-of-access technology, will play out in imaging now. The market gap is real and well documented, with fax-based booking still dominant in a $600-million-scan annual market.

Execution risk remains the open question. Integrating independent imaging centers nationwide, each with its own scheduling quirks and EMR configurations, is operationally demanding work that doesn't scale as cleanly as software alone. The debt-heavy structure of this raise also means Scan.com now carries repayment obligations that pure equity financing would not impose, raising the stakes on continued revenue growth.

Investors backing this round are effectively underwriting the belief that imaging is next in line for the kind of consolidation labs experienced. If Scan.com's run rate growth continues and network integration scales without major friction, the comparison to Quest Diagnostics and Labcorp may prove apt. If execution stalls, the debt load becomes a heavier anchor than the equity investors alone would have created.