AWS Marketplace gives HOPPR AI Foundry a procurement route
HOPPR AI Foundry is now listed in AWS Marketplace, allowing U.S. customers to use existing AWS procurement and billing structures for the medical imaging AI development platform.
HOPPR AI Foundry is now available through AWS Marketplace, giving healthcare systems, life sciences organizations, and enterprise imaging teams another procurement route for the medical imaging AI development platform.
The U.S. listing is live first. HOPPR said global availability will follow.
Through AWS Marketplace, customers can apply existing AWS spend commitments toward HOPPR licensing. The company said users can also work with imaging data already stored in AWS without setting up a separate compute environment.
AI Foundry is designed for building, fine-tuning, validating, and hosting AI models for medical imaging. HOPPR said the platform includes foundation models, medical-format deidentification tools, and data provenance features aligned with compliance expectations.
The platform tracks activity across data ingestion, annotation, model selection, fine-tuning, validation, inference, and version control, according to the company. HOPPR said the system was developed and is maintained under its quality management system.
Security and compliance claims include HIPAA compliance, SOC 2 Type II attestation, and HITRUST e1 Certification. HOPPR said the platform is intended to support medical imaging AI development with traceability from data to deployment.
AWS Marketplace lists HOPPR as a medical imaging AI company focused on helping developers, healthcare systems, and imaging vendors build, fine-tune, and deploy models with transparency, traceability, and governance.
HOPPR’s own product page describes AI Foundry as a developer platform that includes secure infrastructure, trusted data, foundation models, and tools for medical imaging AI development. It also lists fine-tuning, performance evaluation, model-version management, and inference as platform functions.
Company:Hoppr
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Radiology Signal Staff covers developments across medical imaging, radiology AI, imaging informatics, clinical research, and radiology business. The team monitors primary sources, peer-reviewed studies, company announcements, society updates, and healthcare industry news to deliver concise reporting for imaging professionals.
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