OneImaging, a fast-emerging force in AI-powered medical imaging, has secured $38 million in funding to redefine how radiology is performed, interpreted, and integrated across healthcare systems. The round saw participation from major backers including Vy Capital, Aquiline, SemperVirens Venture Capital, XRC Ventures, and notable angel investors such as Dylan Field, Balaji Srinivasan, and Jon Oringer  -  highlighting the growing confidence in OneImaging’s transformative approach to medical diagnostics.

Led by Elan Adler, OneImaging is reimagining radiology as a data-intelligent, real-time insight engine rather than a passive imaging service. Its mission: to democratize access to precise, fast, and scalable diagnostic imaging  -  powered by deep learning, integrated workflows, and clinician-first design.

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Rebuilding Radiology from the Ground Up

The problem with radiology today isn’t the lack of imaging technology  -  it’s the fragmentation of data and inefficiency in interpretation. Traditional systems rely on disconnected platforms, manual inputs, and limited interoperability, often leading to delays in patient care and diagnostic inconsistencies.

OneImaging’s platform addresses this by seamlessly connecting imaging devices, data storage, and AI-assisted diagnostics under one unified ecosystem. Their AI models are trained not just to detect anomalies but to contextualize findings  -  offering radiologists and clinicians actionable insights that improve accuracy and speed.

Through its advanced multi-modal imaging AI, OneImaging enables faster detection of critical conditions like cancer, fractures, and cardiovascular issues, enhancing both diagnostic precision and clinical decision-making.

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Elan Adler’s Vision: Humanizing AI in Medicine

At the helm of OneImaging is Elan Adler, a founder deeply driven by the intersection of technology and human well-being. His approach to AI in healthcare rejects the “replace clinicians” narrative. Instead, OneImaging’s mission is clear: augment human expertise with intelligent systems that enable doctors to work smarter, faster, and with greater confidence.

“We’re not building machines to replace radiologists,” Adler once stated. “We’re building tools that amplify their brilliance  -  systems that take care of the cognitive load so doctors can focus on care, not clicks.”

Under Adler’s leadership, OneImaging is positioning itself not as a mere imaging AI company, but as the core intelligence layer of the modern hospital  -  one that learns from every scan, improves over time, and synchronizes insights across departments.

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Inside the Tech: The New Brain of Medical Imaging

OneImaging’s proprietary Radiology Intelligence Suite (RIS) combines cloud-native architecture with deep neural networks optimized for medical-grade imaging. Its capabilities go far beyond automated image recognition  -  integrating:

• Dynamic diagnostic mapping that overlays AI findings on scans in real-time.
  
• Predictive analytics that forecast disease progression and treatment response.
  
• Federated learning pipelines ensuring patient privacy while enhancing model accuracy across institutions.
  

The system’s adaptive AI continuously learns from new cases, meaning every hospital using OneImaging benefits from the collective intelligence of the entire network  -  a true step toward collaborative medical learning at scale.

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How OneImaging Demonstrates the Future of AI-Healthcare Alignment

What’s remarkable about OneImaging isn’t just its technology  -  it’s how it perfectly aligns innovation with healthcare realities.

Many medtech startups fail because they overemphasize algorithmic accuracy while underestimating clinical integration. OneImaging flipped this logic: it started by building for the clinician’s workflow first. By embedding its platform into existing PACS and EHR systems, OneImaging eliminates friction, ensuring doctors don’t have to learn yet another standalone interface.

This approach provides an invaluable insight for founders in deep-tech healthcare: true disruption comes from seamless integration, not total replacement.

When AI becomes invisible  -  working behind the scenes to enhance human skill rather than compete with it  -  it earns trust. And in healthcare, trust is everything.

That’s why OneImaging is rapidly becoming the model for how startups can bridge AI innovation and clinical adoption without losing sight of the human core.

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A Coalition of Visionary Investors

The investor lineup for this round reads like a who’s who of visionary backers driving next-generation innovation.

• Vy Capital, known for supporting transformative AI and infrastructure plays, provides scale-up expertise for global growth.
  
• Aquiline and SemperVirens Venture Capital bring domain experience in healthtech and data systems.
  
• XRC Ventures, a fund focused on category creation, adds strategic support in commercialization.
  
• Angel investors including Dylan Field (Figma), Balaji Srinivasan (ex-Coinbase CTO), and Jon Oringer (Shutterstock) bring a cross-disciplinary edge  -  merging design thinking, decentralization insights, and platform-scale know-how.
  

Together, this syndicate forms more than a funding round  -  it’s a strategic brain trust positioning OneImaging for global healthcare transformation.

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Market Context: The Global Surge of AI in Medical Imaging

The AI in medical imaging market is projected to reach $29 billion by 2032, growing at a CAGR of 36%, according to MarketsandMarkets. This acceleration is driven by the explosion of diagnostic data  -  with over 3.6 billion medical images generated annually worldwide.

Yet, a severe shortage of radiologists (up to 50% fewer specialists than needed in some regions) has made automation and augmentation essential.

AI-driven imaging solutions like OneImaging’s are bridging this gap, improving throughput by up to 40%, and reducing diagnostic errors by 20–30% in early pilots.

As healthcare systems shift toward value-based care, hospitals are seeking platforms that enhance diagnostic reliability, reduce burnout, and optimize patient outcomes  -  all of which play directly into OneImaging’s value proposition.

Moreover, the company’s emphasis on data interoperability positions it ahead of the curve as the U.S. and EU push for open healthcare ecosystems under FHIR (Fast Healthcare Interoperability Resources) standards.

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The Road Ahead: Precision, Scale, and Global Reach

With $38 million in new funding, OneImaging plans to expand its AI research division, strengthen partnerships with leading hospital networks, and enhance its global deployment footprint. The company is also working on cross-specialty integrations, enabling its technology to extend beyond radiology into pathology, cardiology, and oncology diagnostics.

Elan Adler and his team are clear-eyed about their next mission  -  to make AI-assisted radiology the new clinical baseline rather than an experimental add-on.

“The next frontier of healthcare,” Adler said, “isn’t more data  -  it’s better interpretation. And that’s where we come in.”

By fusing AI intelligence with human empathy, OneImaging isn’t just digitizing diagnostics  -  it’s redefining what medical precision means in the 21st century.