Accelerate medical imaging AI development. Access foundation models, curated datasets, and fine-tuning tools with the trust, traceability, and rigor healthcare demands.
HOPPR AI Foundry is the secure developer environment for building, fine-tuning, and validating medical imaging AI. Built by practicing radiologists and AI engineers, the Foundry provides the infrastructure, trusted data, foundation models, and tools needed to accelerate AI development with speed and full traceability.
Key Capabilities:
Foundation Models: Access HOPPR's proprietary Vision Transformer (ViT) models trained on tens of millions of labeled, de-identified medical images, including chest radiography and mammography.
Curated Datasets: Fine-tune with HOPPR's labeled and validated datasets featuring verified provenance, or bring your own imaging data.
Fine-Tuning & Inference: An intuitive UI and developer-friendly RESTful APIs enable efficient experimentation, validation, and version tracking within a secure, compliant platform.
QMS-Aligned Framework: Developed under a quality management system aligned with ISO 13485, IEC 62304, ISO/IEC 42001, and ISO 14971, providing the traceability foundation for regulatory preparation.
Secure Infrastructure: Operates within a HIPAA-compliant environment with end-to-end traceability and usage-based billing.
Highlights
Foundation models trained on tens of millions of labeled, de-identified medical images for chest radiography and mammography
Fine-tune with HOPPR's curated datasets or bring your own imaging data within a secure, HIPAA-compliant environment
QMS-aligned framework supporting ISO 13485, IEC 62304, and ISO 14971 for regulatory preparation and traceability
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay for this platform using HOPPR Compute Units. This is a single usage-based dimension billed under a contract. Compute Units measure the platform resources you consume as you fine-tune foundation models, run evaluations, and run inference. Your cost scales with how much compute you use, so activity-heavy work draws more Units. You buy the quantity of Units you need rather than choosing between separate tiers or fixed plans. Billing runs within a secure, HIPAA-compliant environment that tracks usage end to end.
Top-of-mind questions for buyers
What activities consume HOPPR Compute Units?
Compute Units cover the work you run inside the platform. This includes fine-tuning foundation models, running evaluations against your own specifications, managing model versions, and running inference on pre-trained or third-party models. Units also apply to GPU compute used during model training and testing.
Does my cost change if I run more inference or fine-tuning jobs?
Yes. This is usage-based billing, so your Unit consumption rises with activity. Fine-tuning models and running many inference or evaluation jobs draw more Compute Units. Lower-activity periods draw fewer. You buy the quantity of Units your work requires under the contract.
Do Compute Units cover both HOPPR's own models and third-party models?
Yes. Units apply to inference on HOPPR's proprietary Vision Transformer models and narrative language models, plus a curated selection of third-party models available for inference through the platform. Fine-tuning of HOPPR models and supported hands-on services also draw compute during use.
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HOPPR Forward Deployed Services (FDS) brings our experts directly to your team to accelerate AI development in medical imaging. This hands-on, collaborative model can help you design, fine-tune, and integrate solutions that align with your data, workflows, and goals. Learn more ->
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