Certification validates that HOPPR is meeting rigorous cybersecurity and data protection standards through independent assessment and assurance, building on the company's recent SOC 2 Type II attestation. 

Khan Siddiqui, MD, CEO of HOPPR, authored a feature in Medical Design & Outsourcing exploring the shift toward imaging AI that adapts to real-world clinical environments, moving beyond one-size-fits-all models.

HOPPR announced it has achieved SOC 2 Type II attestation, providing independent validation that its security controls are designed effectively and operate consistently over time. The attestation reinforces the company’s commitment to maintaining structured safeguards across the HOPPR™ AI Foundry, supporting organizations developing AI applications for medical imaging with secure, reliable infrastructure.

Healthcare Digital featured HOPPR AI Foundry and the addition of NVIDIA’s reasoning and generative AI models, expanding tools for developing transparent and advanced medical imaging AI applications.

AI Magazine covered the addition of NVIDIA’s reasoning and generative AI models to HOPPR AI Foundry, expanding tools for building and refining medical imaging AI applications.

HealthTech HotSpot highlighted HOPPR in its HIMSS26 roundup on cloud-native enterprise imaging platforms and the growing deployment of clinical AI at health system scale.

AuntMinnie.com reported on the expansion of HOPPR AI Foundry with the addition of open NVIDIA medical imaging models, enabling developers to build, fine-tune, and deploy radiology AI workflows on NVIDIA-accelerated infrastructure.

Technology Magazine reported on the availability of NVIDIA’s NV-Reason and NV-Generate models on HOPPR AI Foundry, enabling developers to train, evaluate, and fine-tune medical imaging AI with multimodal reasoning and synthetic data generation capabilities.

HOPPR announced that NVIDIA open models NV-Reason and NV-Generate are now available on the HOPPR™ AI Foundry, expanding developer access to advanced reasoning and generative AI capabilities for medical imaging development. Built on NVIDIA accelerated computing infrastructure, the Foundry provides a secure environment for building, evaluating, and fine-tuning imaging AI using foundation models, curated datasets, and traceable development workflows.

Written by Khan Siddiqui MD, this article explores how 2026 marks a turning point for AI in radiology, arguing for a shift from narrow point solutions toward integrated platforms that better support real-world clinical workflows.

Dr. Khan Siddiqui examines how rising imaging demand is driving radiologist burnout and explores how platform-based AI can help reduce workload and improve efficiency.

At RSNA 2025, speakers provide practical advice for advancing AI in radiology, focusing on real-world implementation, data governance, and clinical collaboration to move imaging AI initiatives forward.

At RSNA 2025, HOPPR launches two new programs for its AI Foundry, expanding access to expert support, foundation models, and curated datasets for medical imaging AI development.

HOPPR unveils its AI Foundry platform, designed to accelerate medical imaging AI development by providing foundation models, curated datasets, and integrated tooling for secure, compliant workflows.

HOPPR debuts its purpose-built platform for medical imaging AI at RSNA 2025, showcasing how the HOPPR AI Foundry provides foundation models, expert support, and secure tooling to accelerate responsible development of imaging AI solutions.

At RSNA 2025, HOPPR debuts its purpose-built AI development platform for medical imaging, showcasing how the HOPPR AI Foundry’s foundation models, expert support, and secure tooling help accelerate responsible imaging AI innovation.