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  • Computer Vision

HOPPR Raises $31.5M to Advance AI Medical Imaging Platform


HOPPR Raises $31.5M to Advance AI Medical Imaging Platform
  • Source: Source Logo
  • |
  • June 19, 2025

HOPPR, a Chicago-based innovator in medical AI imaging, announced on June 17, 2025, that it has secured $31.5 million in an oversubscribed Series A funding round. Led by Kivu and Greycroft, with participation from PSG Equity, Morningside Capital, Fortitude Ventures, and existing investor Health 2047, the funding underscores strong confidence in HOPPR’s mission to transform medical imaging through AI.

Quick Intel

  • HOPPR secures $31.5M in Series A funding led by Kivu and Greycroft.

  • Funds to scale platform development and expand AI model capabilities.

  • Enables secure, compliant fine-tuning of medical imaging AI models.

  • Supports developers and PACS vendors with curated data and tools.

  • Aims to enhance diagnostic workflows and patient care globally.

  • Backed by Health 2047, founded by the American Medical Association.

Scaling AI Innovation in Medical Imaging

HOPPR’s platform addresses critical challenges in developing medical AI imaging applications by providing a secure, compliant environment for model fine-tuning and validation. "At HOPPR, we're building the secure infrastructure Picture Archiving and Communications Systems (PACS) vendors and developers need to fine-tune and deploy foundation models for real-world clinical use," said Dr. Khan Siddiqui, CEO and Co-founder of HOPPR. The funding will accelerate platform development, enhance foundation model capabilities, and expand HOPPR’s team of AI, engineering, and compliance experts.

Empowering Developers with Flexible Tools

Unlike marketplaces offering prebuilt AI applications, HOPPR empowers developers to fine-tune foundation models using their own data or HOPPR’s curated datasets. Built on a quality management system, the platform ensures transparency and traceability, streamlining the journey from concept to clinical deployment. This flexibility enables developers to create high-performing, reliable AI models tailored to specific diagnostic needs, enhancing radiology workflows and patient outcomes.

Strong Investor Support for Clinical Impact

The oversubscribed funding round reflects investor confidence in HOPPR’s vision. "HOPPR has one of the most unique teams made up of the world's leading AI specialists, technologists, and radiologists who are specifically suited to solve the major challenges facing healthcare developers," said Seth Berman, Co-founder and General Partner at Kivu Ventures. Similarly, Bryan Subijano, Investor at Greycroft, noted, "HOPPR simplifies the most complex aspects of healthcare AI, from data curation and data provenance to model validation and refinement."

A Vision for Transformative Healthcare

HOPPR’s platform is designed to democratize access to trustworthy AI imaging solutions. "We're proud to have supported HOPPR's vision and team from day one. Their platform enhances diagnostic accuracy and brings clinicians into direct dialogue with imaging studies an approach that's truly first-of-its-kind," said Larry K. Cohen, CEO at Health 2047. By fostering innovation and ensuring regulatory compliance, HOPPR aims to improve diagnostic accuracy and patient care worldwide.

HOPPR’s $31.5M Series A funding positions it to lead the transformation of medical imaging, empowering developers to create AI solutions that enhance clinical workflows and improve patient outcomes on a global scale.

 

About HOPPR

HOPPR is the leading infrastructure platform for building, fine-tuning, and deploying AI foundation models and applications in medical imaging. Purpose-built for developers and PACs vendors, HOPPR offers secure tooling and access to curated data with known provenance, enabling the rapid development of clinically ready AI applications. With integrated quality management systems and support for marketing authorization, HOPPR bridges the gap between innovation and real-world deployment, helping transform diagnostic workflows and improve patient care globally.

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