CARPL Secures $6M in Funding to Transform Radiology AI Integration Across Healthcare Systems

The global shortage of radiologists is reaching critical levels, with imaging scan volumes growing at 9% annually while radiologist supply increases by only 1.8% year-on-year. This widening gap has created unprecedented pressure on healthcare systems worldwide, prompting a surge in AI-driven solutions—over 700 US-FDA approved radiology AI applications now exist in the market. Yet a new challenge has emerged: healthcare providers struggle to navigate this fragmented landscape and seamlessly deploy these tools into their clinical workflows.

CARPL, a clinical imaging AI marketplace platform, has raised $6m in seed funding to address this critical bottleneck. Led by Stellaris Venture Partners with backing from strategic investors including Novo Holdings, Leapfrog PE, Bain & Co, and UnitedHealth Group, the capital injection will accelerate expansion in North America and strengthen the company’s technology infrastructure.

The Fragmentation Problem

The proliferation of AI applications in radiology has created an unintended paradox: while solutions abound, adoption remains sluggish. Healthcare providers face a multi-faceted challenge—identifying which AI tools best serve their patient population, validating their clinical effectiveness, and integrating them without disrupting existing radiologist workflows. This complexity has become a primary barrier to widespread AI implementation in healthcare settings.

CARPL’s Integrated Platform Approach

Rather than building another point solution, CARPL has developed an end-to-end platform that consolidates the entire AI deployment process. The company’s proprietary DEV-D framework guides healthcare institutions through four critical stages: Discover available applications, Explore comparative features, Validate clinical performance, and Deploy seamlessly into workflows. This systematic approach distinguishes CARPL from competitors, as it combines a universal AI viewer interface with built-in monitoring and validation capabilities.

The platform functions as a single procurement and data channel, enabling radiologists to accept, reject, or refine AI outputs—creating a feedback loop that continuously improves model performance. With over 100 AI applications from more than 50 developers already integrated, CARPL has established itself as the largest radiology AI marketplace by application volume.

Traction and Global Reach

Since launching in 2021, CARPL has demonstrated significant market traction. The platform is now used by leading healthcare systems including Massachusetts General Hospital (Boston), University Hospitals (Cleveland), Singapore Government Health Services, and Australia’s I-MED Radiology network. The company has also expanded into public health initiatives, partnering with India’s government on large-scale tuberculosis screening programs in underserved regions.

Visionary Leadership and Market Opportunity

CARPL was founded by Dr Vidur Mahajan, a physician-entrepreneur with an MBA from Wharton and 12+ years in diagnostic services. His previous venture, Mahajan Imaging, scaled revenue to $20m over a decade, providing deep industry expertise. The current leadership team includes Dr Vasanth Venugopal (Chief Medical Officer), Rohit Takhar (CTO), and Dhruv Sahai (COO), complemented by advisory board members such as Dr Vijay Rao, former President of the Radiology Society of North America.

Mahajan envisions “super-radiologists”—AI-augmented clinicians performing at 10x productivity levels—mirroring how automation revolutionized laboratory medicine. This ambition aligns with massive market expansion: the global healthcare AI sector is projected to reach $170 billion by 2029, with radiology representing nearly $20 billion of that opportunity.

Industry Validation and Future Growth

The market fundamentals are compelling. With aging populations, rising chronic disease prevalence, and emphasis on early disease detection, radiology demand will continue accelerating. CARPL has already published over 120 peer-reviewed papers and conference presentations on clinical AI methodology, establishing thought leadership through concepts like algorithmic audits and clinical explainability frameworks.

As healthcare organizations increasingly recognize that AI deployment complexity—not AI capabilities—is the limiting factor, CARPL’s integrated marketplace model positions the company at the intersection of health tech infrastructure and clinical innovation, effectively becoming the CIO’s unified gateway to the entire radiology AI ecosystem.