HOPPR Secures $31.5 Million in Series A Funding to Transform Medical AI Imaging
HOPPR, a company revolutionizing the development, validation, and deployment of AI imaging applications, has announced the successful closure of its oversubscribed Series A funding round, securing $31.5 million.
The round was led by Kivu and Greycroft, with additional participation from PSG Equity, Morningside Capital, Fortitude Ventures, and existing investor Health 2047. This funding round reflects strong investor confidence in HOPPR’s ability to scale and innovate in the fast-evolving medical AI imaging sector.
Accelerating Platform Development and Scaling Operations
The new capital will be used to accelerate HOPPR's platform development, enhance its foundation model capabilities, and expand its team of engineering, AI, and compliance experts. The company aims to enable unprecedented flexibility and precision in creating AI applications for medical imaging.
Dr. Khan Siddiqui, CEO and Co-founder of HOPPR, said, “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.”
He added, “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."
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Platform Features and Impact on the Medical Imaging Sector
HOPPR’s platform addresses a key challenge in medical AI imaging by enabling developers to fine-tune and validate models in a secure, compliant environment. Built specifically for medical imaging vendors, HOPPR offers tooling and data access that ensures the development of reliable, high-performing AI models with full transparency and traceability throughout the process.
Unlike traditional marketplaces that offer prebuilt AI solutions, HOPPR allows users to fine-tune foundation models using their own data or HOPPR’s curated datasets.
The platform ensures quality and compliance through a robust quality management system, combining trusted data provenance with secure development pipelines. This approach streamlines the process of moving from concept to clinical deployment.
