Introducing the Harrison.ai Open Platform: Zero-Markup Access to Medical Imaging AI and Third-Party Algorithms

The Challenge: Fragmented AI in Healthcare

Across hospitals and radiology practices, teams are struggling with disconnected systems and multiple vendors, each typically requiring its own integration, contract, security review, and performance monitoring. As Josh Duncan explains:

“Let me tell you what we hear every single day. From health systems and radiology practices across the country, often they’re managing 2, 3, 5, sometimes 10 different AI vendors.”

Traditional platform providers have tried to simplify this by becoming “one-stop shops,” but they often impose markups of 30–60%, diverting resources that could otherwise support patient care and radiology workflow optimisation.

This fragmented approach not only drives up costs but also results in subpar workflows and inefficiencies. As Dimitry Tran put it:

“So you are paying more, getting locked in, and worst of all these platform companies, they don’t build clinical applications themselves. They’ve never felt the pressure of delivering AI at scale… It’s hard to build a track if you’ve never built a train.”

The Solution: Harrison.ai Open Platform

Harrison.ai’s approach to overcoming fragmented AI is built on three guiding principles: zero markup, radically open architecture, and customer ROI first.

The platform has launched with partners including Lucida Medical, AZmed, Nicolab, Radiobotics, CoLumbo, and Us2.AI. These organisations highlighted how a zero-markup, open, and scalable platform can simplify adoption, streamline workflows, and deliver real clinical impact. Their perspectives provide early validation of the platform’s alignment with the needs of healthcare organisations.

Zero Markup

“The platform layer is zero markup. You pay for the AI you use from the algorithm provider and not a penny more. No platform surcharges, no innovation tax, no hidden charges. No revenue sharing that gets passed to you,” Josh Duncan explained.

By eliminating platform fees, which can range from 30–60%, hospitals and developers can invest directly in AI that improves diagnostic accuracy, streamlines radiology workflows, and enhances patient care.

“For specialised applications like stroke clinical decision-support algorithms, the traditional platform markup model was prohibitive,” said Michael Macilquham, CEO at Nicolab. “Healthcare systems need the best AI for their patients, not just what’s economically viable after platform fees. Harrison.ai’s approach allows us to focus our resources on clinical validation and customer support rather than funding a middleman’s margin.”

Radically Open Architecture

The platform supports Harrison.ai native applications, third-party algorithms, and even custom in-house AI tools — all within a single, unified system. As Dimitry emphasised:

“We will never block an app on Harrison Open Platform, even if it competes directly with one of our own. No exclusivity deals, no vendor lock-in, and no access barriers.”

Michel Krambousanos, Director of Strategic Alliances at AZmed, welcomed the platform’s open approach, noting that it “supports our shared goal of enabling clinicians to access proven technologies that improve diagnostic accuracy and workflow efficiency” by removing unnecessary restrictions.

This openness gives healthcare organisations the freedom to choose algorithms based on clinical merit, ROI, and patient outcomes, not artificial distribution barriers.

Customer ROI First

At Harrison.ai, customer ROI and clinical impact come first.

“Success is only real when you achieve outcomes,” Josh said. “AI only works when it delivers value in your environment.”

With over 1,000 deployments across 18 countries, as Josh Duncan explains, Harrison.ai has experience integrating with every major PACS, RIS, and EMR. “We ensure AI adoption is seamless within your actual clinical workflows,” he says. Backed by a robust infrastructure and optimised for real-world healthcare delivery, the platform ensures that AI deployment is efficient and reliable across diverse clinical environments.

Reflecting on the platform’s potential impact, Dr. Antony Rix, CEO of Lucida Medical, noted that the Harrison.ai Open Platform “aligns perfectly with our vision of making prostate cancer detection more accessible, accurate, and cost-effective,” adding that “AI should empower clinicians and simplify workflows, not add complexity.”

A Growing Ecosystem

The platform launches with native applications included as standard: Harrison.ai Chest X-ray, Harrison.ai CT Brain, and the newly launched Harrison.ai CT Chest, detecting a combined 300+ radiological findings.

Partners including Lucida Medical, AZmed, Therapixel, Nicolab, Radiobotics, CoLumbo, and Us2.ai are joining to expand capabilities.

“Some of these algorithms compete with ours – and that’s good. Competition makes for a stronger ecosystem,” Dimitry noted.

“You integrate once… one connection, and you’re done,” says Josh Duncan. Harrison.ai’s vendor-neutral approach ensures a single contract, a single security review, and seamless access to native, partner, and in-house AI solutions, reducing complexity and supporting smoother clinical workflows.

Reflecting on the ecosystem, Jonathan Whitmore, Director of Global Partnerships at Radiobotics, noted that the platform’s zero-markup model “could be a turning point in how widely AI is deployed in patient care. This shifts AI adoption from a privilege of well-resourced hospitals to a tool that lifts clinical quality everywhere.”