Zebre Technologies: The Startup Rewriting the Economics of Medical Imaging Data

Healthcare has always been a data-intensive industry, but few corners of the ecosystem are expanding as relentlessly as medical imaging. Every MRI, CT scan, mammogram, pathology slide, and ultrasound contributes to a digital archive that hospitals are legally obligated to preserve for years, sometimes decades. What was once viewed as a routine operational expense has quietly evolved into one of healthcare’s fastest-growing financial burdens, fueled by artificial intelligence (AI), increasingly sophisticated imaging modalities, cybersecurity requirements, and the continuous expansion of enterprise data.

While most technology vendors have responded by offering larger storage platforms or migrating archives into the cloud, Zebre Technologies has chosen an entirely different path. Rather than asking healthcare organizations to invest in more infrastructure, the Nashville-based company asks a simpler but more fundamental question: Why store unnecessary data in the first place? That seemingly straightforward premise has become the foundation of one of healthcare IT’s more intriguing emerging companies.

Founded in 2021, Zebre Technologies has developed software designed specifically to reduce the size of Digital Imaging and Communications in Medicine (DICOM) datasets without compromising their clinical integrity. The company’s mission is not to replace Picture Archiving and Communication Systems (PACS) or Vendor Neutral Archives (VNAs), but to optimize what already exists, enabling healthcare organizations to significantly reduce storage requirements before costs multiply across backup systems, disaster recovery platforms, cloud environments, and cybersecurity infrastructure.

For Bryan Stunkel, Co-Founder, Chairman and President, the idea emerged after years of witnessing the same operational challenge repeatedly across healthcare systems.

“My background is in healthcare data management, protection, and security,” Stunkel explains. “Deployment after deployment, I kept seeing the same problem. Hospitals generated revenue when imaging exams were performed, but then spent years paying to preserve and replicate those images without truly understanding what was inside the file data.”

That observation would eventually evolve into a company whose timing appears unusually well aligned with one of healthcare’s fastest-growing infrastructure challenges.

Looking Beyond the Cloud

For more than a decade, healthcare organizations have devoted substantial resources to determining where imaging data should reside. Some favored on-premises infrastructure, while others embraced cloud migration or hybrid architectures. Yet according to Stunkel, that debate overlooked a much larger issue.

“The conversation has always centered on storage location,” he says. “We believed the more important conversation was about storage content.”

Every medical image stored inside a DICOM archive represents far more than a single file sitting on a server. Modern healthcare systems routinely create multiple protected copies for high availability, disaster recovery, ransomware protection, immutable backups, and cloud replication. A single gigabyte therefore becomes several gigabytes almost immediately, with storage costs compounding year after year.

Zebre’s software attacks the problem upstream by identifying redundant images, unnecessary derived objects, expired studies, and regions within DICOM files that contribute no diagnostic value. Through patented methodologies focused on derived-image reduction and region-of-interest optimization, the platform enables organizations to remove unnecessary data before it cascades through multiple layers of expensive infrastructure. The impact extends well beyond simple storage reduction. Every gigabyte of non-clinical content removed, avoids years of backup, migration, replication, cybersecurity protection, and cloud expenses that otherwise continue accumulating over the lifetime of an archive.

Solving a Problem That Required Two Different Worlds

Although the technical challenge appeared obvious to Stunkel from an IT perspective, creating a viable solution demanded expertise far beyond traditional enterprise storage. The turning point came during a collaboration with the Vice Chairman of Radiology at an academic medical center in Nashville, where both were responsible for planning the architecture of a large imaging deployment. As they evaluated existing systems, they encountered a surprising lack of visibility into how DICOM environments actually grew over time.

Stunkel understood healthcare infrastructure, storage architectures, and enterprise data management. His clinical collaborator understood something equally essential: what radiologists actually needed from the images themselves. That intersection proved critical. “It took someone who understood the technology alongside someone who understood how clinicians use these files,” Stunkel recalls. “IT teams knew how files moved and where they were stored, but they couldn’t see inside them. Radiologists understood the diagnostic value inside each image. Bringing those perspectives together essentially removed the wall between healthcare and enterprise IT.”

That collaboration ultimately led to Zebre’s patented optimization methods, technologies specifically designed to preserve clinical usefulness while eliminating unnecessary digital weight. Yet even after the concepts were developed, another challenge remained: transforming those ideas into software capable of operating across the diverse imaging environments found throughout healthcare. That responsibility fell largely to Joe Christopher, Zebre’s Chief Technology Officer (CTO) responsible for Technology and Platform Strategy. With extensive experience building healthcare software and managing complex enterprise content systems, Christopher helped convert conceptual patents into scalable software architecture capable of integrating with virtually any existing PACS ecosystem.

His work ensured Zebre would remain platform-agnostic rather than forcing customers into proprietary infrastructure, a strategic decision that significantly broadened the company’s commercial opportunity.

Building Software Customers Didn’t Know They Needed

Interestingly, Zebre’s flagship products emerged in the opposite order from how customers experience them today. The company initially developed what would become OptimiZE, the engine responsible for actually reducing DICOM storage through its patented optimization techniques. Early testing demonstrated average storage reductions between 40 and 50 percent, with certain CT imaging environments producing reductions approaching 80 percent. Those results generated enthusiasm, but they also produced an entirely reasonable customer question.

“What will it do to our data?”

Healthcare organizations wanted evidence based on their own environments, not someone else’s dataset. That feedback fundamentally changed Zebre’s roadmap. Rather than asking prospective customers to simply trust the optimization engine, the company built AnalyZE, a metadata-driven assessment platform that scans enterprise imaging environments without touching protected health information. The software identifies imaging platforms, analyzes growth patterns, and provides organizations with unprecedented visibility into their imaging ecosystems; ultimately empowering healthcare systems to apply optimization opportunities that fit their environment.

What began as a sales-enablement tool quickly evolved into something much larger. Healthcare executives realized AnalyZE solved an operational challenge entirely separate from storage optimization by providing intelligence across multiple imaging platforms that existing systems often struggled to deliver. Instead of functioning solely as the gateway into OptimiZE, AnalyZE became a strategic analytics platform in its own right, giving health systems a unified view across diverse enterprise imaging environments.

The Perfect Storm Driving Zebre’s Opportunity

If Zebre had entered the market five years ago, its value proposition would have been compelling. Today, it borders on urgent. The economics of enterprise imaging have changed dramatically—not simply because hospitals are performing more scans, but because each exam now generates increasingly rich and complex datasets. Modern imaging modalities generate significantly larger files than their predecessors, while additional disciplines, including digital pathology, are embracing the DICOM standard. Whole-slide images are commonly measured in gigabytes and can exceed four gigabytes each, often broken into thousands of image tiles organized across multiple resolution levels. At the same time, artificial intelligence is introducing an additional wave of data growth. AI applications create new DICOM objects—including annotations, segmentations, quantitative measurements, structured reports, parametric maps, and derived images—that may be retained alongside the original study which become part of a patient’s permanent imaging record.

The result is an explosion in enterprise imaging data. When Zebre was formed in 2021, annual archive growth rates were between 18 and 21 percent which have climbed into the 30 percent range today, with some organizations experiencing even faster expansion as advanced imaging and AI adoption accelerate. Ironically, AI is also making storage itself more expensive. Massive investments in hyperscale AI infrastructure are driving unprecedented demand for data centers, semiconductor manufacturing, high-performance flash storage, electricity, cooling capacity, and networking equipment. Healthcare organizations are not directly competing with technology companies building large language models, yet they rely on the same infrastructure ecosystem. As those costs rise globally, the economics of storing medical imaging data become increasingly challenging for hospitals.

Cybersecurity compounds the issue further. Where healthcare organizations once maintained two or three copies of imaging archives for redundancy and disaster recovery, ransomware preparedness has pushed many institutions toward five or more protected copies, including immutable backups that cannot be altered or deleted. Every unnecessary DICOM object therefore exists not once, but multiple times across highly protected environments.

This is precisely where Zebre believes its advantage lies. Reducing a single gigabyte before it enters that ecosystem doesn’t simply save one gigabyte of storage. It eliminates years of non-clinical backup content, replication, migration, cloud hosting, cybersecurity protection, disaster recovery, energy consumption, and administrative overhead that would otherwise multiply throughout the archive’s lifecycle. The savings become cumulative rather than incremental, fundamentally changing the economics of enterprise imaging.

Building an Enterprise-Ready Leadership Team

Technology alone rarely determines whether a healthcare startup succeeds. Execution does. Recognizing that reality, Zebre assembled a leadership team designed to bridge clinical expertise, engineering excellence, commercialization, and regulatory strategy. While Stunkel provides the vision rooted in decades of healthcare data management and infrastructure, Brent Savoie, MD/JD, serves as a member of the board, leading Clinical and Regulatory Strategy, ensuring the company’s innovations align with the stringent clinical standards and regulatory expectations that govern enterprise imaging. His medical and legal background strengthens Zebre’s ability to navigate one of healthcare technology’s most heavily regulated environments.

Christopher’s technical leadership has transformed patented concepts into scalable software capable of operating across heterogeneous imaging ecosystems without forcing customers to abandon existing investments. That platform-agnostic philosophy reflects one of Zebre’s defining strategic decisions. Rather than competing with PACS vendors, cloud providers, or storage manufacturers, the company positions itself alongside them, enhancing the efficiency of infrastructure organizations already own.

Commercial execution is supported by Dan Karl, the company’s Go-to-Market and Commercial Scale Advisor, whose role centers on helping Zebre translate a technically sophisticated solution into measurable business value for healthcare executives. That distinction matters because the company’s buyers increasingly include CIOs, CFOs, imaging directors, and enterprise infrastructure leaders, all of whom evaluate technology through different operational and financial lenses.

The company has also invested heavily in strategic partnerships with healthcare systems integrators capable of deploying enterprise-scale solutions across complex hospital environments. Instead of attempting to build every capability internally, Zebre has embraced an ecosystem approach that combines software innovation with trusted implementation expertise, an increasingly common model among successful enterprise healthcare technology companies.

An Analytics Platform Emerges

Perhaps the company’s most intriguing opportunity wasn’t part of its original business plan. As healthcare organizations understood the visibility and opportunity AnalyZE provides, there was an interest to apply it for purposes far beyond pre-optimization assessments. Because the platform was designed to aggregate intelligence across multiple PACS, VNAs, departments, and storage environments, healthcare systems discovered it could function as a centralized operational intelligence layer. Rather than providing only a snapshot before optimization begins, organizations wanted continuous visibility into imaging growth, storage trends, platform utilization, and enterprise-wide analytics. In effect, an existing solution revealed an entirely new product category, driven by feedback from healthcare technology and medical imaging leaders.

For Stunkel, that discovery reinforced one of the central lessons of entrepreneurship: the market often identifies opportunities that founders themselves didn’t initially anticipate. The company’s immediate priority remains scaling its core optimization business, but the longer-term vision now extends toward real-time operational intelligence for enterprise imaging environments. As healthcare organizations continue consolidating systems, deploying AI applications, and managing increasingly complex imaging infrastructures, that broader analytics capability could become an equally significant growth engine.

Why the Timing May Finally Be Right

Like many healthcare innovations, Zebre’s technology required patience. The company spent years moving from concept to patent protection, from software engineering to customer validation, and from early consulting engagements to commercial readiness. That measured progression delayed its official market launch, but it also positioned the business at a moment when the underlying problem had grown substantially larger than when the company first began.

The convergence of richer imaging modalities, AI-generated clinical content, and increasingly stringent cybersecurity requirements is accelerating archive growth while rising infrastructure costs are fundamentally altering the economics of enterprise imaging. What was once viewed as an operational inconvenience has become a strategic financial challenge for healthcare systems operating under increasing budget pressure. That shift transforms Zebre’s value proposition from cost reduction to infrastructure optimization at enterprise scale. The company’s thesis remains remarkably simple: healthcare organizations should not continue paying indefinitely to store data that provides no clinical value.

In an industry increasingly consumed by conversations about artificial intelligence, cloud migration, and digital transformation, Zebre Technologies offers a quieter but potentially more consequential proposition. Rather than building yet another platform that creates more healthcare data, it focuses on helping organizations understand, manage, and reduce the data they already have.

Sometimes the most valuable innovation isn’t producing more information. It’s knowing what no longer needs to be stored. And as enterprise imaging enters its next era of exponential growth, that distinction could prove far more important than many healthcare leaders have yet realized.

Bryan Stunkel — Co-Founder | Chairman & President

Brent Savoie, MD/JD — Director | Clinical & Regulatory Strategy

Joe Christopher — CTO | Technology & Platform Strategy

Dan Karl — Go-to-Market & Commercial Scale Advisor