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HOPPR Secures $31.5M Series A to Scale AI Infrastructure for Medical Imaging

HOPPR Secures .5M Series A to Scale AI Infrastructure for Medical Imaging
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Backed by top-tier investors, HOPPR is scaling its secure platform for enabling developers
and medical imaging partners to build, refine, and deploy AI applications.

HOPPR, the company revolutionizing how AI imaging applications are built, validated, and deployed, announced today that it has secured $31.5a 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.  This round demonstrates exceptional investor confidence in HOPPR’s ability to innovate and scale in the rapidly evolving medical AI imaging space.

With Series A funding, HOPPR intends to accelerate platform development, scale operations, expand its foundation model capabilities to enable unprecedented flexibility and precision in developing imaging AI applications, and grow its team of top-tier engineering, AI, and compliance talent.

HOPPR’s platform addresses a critical challenge in the development of medical AI imaging applications by enabling fine-tuning and validation of models in a secure and compliant environment. Built for medical imaging vendors and developers, HOPPR provides tooling and data access that enables the development of high-performing, reliable AI models with full transparency and traceability throughout the process.

Also Read: Unpacking Personalisation in the Age of Predictive and Gen AI

“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. “Our vision is to democratize access to high-performing, trustworthy imaging AI by giving developers the tools, data, and compliant environment they need to fine-tune models safely and at scale. By doing so, we enable innovation that ultimately improves diagnostic workflows, supports radiologists, and enhances patient care across the globe.”

Unlike marketplaces that offer prebuilt AI applications, the HOPPR platform empowers users to fine-tune foundation models using their own data or HOPPR’s expertly curated datasets. Based on a quality management system, the platform combines trusted data provenance with secure development pipelines, streamlining the process of concept to clinical deployment.

Also Read: Why multimodal AI is taking over communication

“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. “We’re excited to support a platform that is built from the ground up for clinical readiness and commercial impact.”

“We are excited to partner with HOPPR as they enable customers to deploy state-of-the-art medical imaging AI into diagnostic workflows—ultimately improving patient outcomes in radiology,” said Bryan Subijano, Investor at Greycroft. “HOPPR simplifies the most complex aspects of healthcare AI, from data curation and data provenance to model validation and refinement.”

Larry K. Cohen, CEO at Health2047, a venture studio founded by the American Medical Association added, “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. The potential for both physicians and patients is nothing short of transformational.”

[To share your insights with us, please write to psen@itechseries.com]

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